Prof. Dr. Mohammed Z. Al-Faiz; MIEEE; Assistant Lec. Ali M. Mahmood
Volume 11, Issue 2 , December 2011, , Page 20-27
Abstract
Abstract:
In this paper a fuzzy proportional-Integral (FPI) controller is designed as an Active Queue Management (AQM) in internet routers to improve the performance of PI controller for congestion avoidance in computer networks. Firstly the parameters of FPI controller are selected by trial and error ...
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Abstract:
In this paper a fuzzy proportional-Integral (FPI) controller is designed as an Active Queue Management (AQM) in internet routers to improve the performance of PI controller for congestion avoidance in computer networks. Firstly the parameters of FPI controller are selected by trial and error method, but to get the best controller parameters the Genetic Algorithm (GA) is used as an optimization method for tuning the FPI parameters. The analytical results for linearized TCP/AQM model are presented in MATLAB version 7.0. From the obtained results, a faster response time as well as the regulation of the output to a constant value by the designed FPI controller is clearly observed and it is noted that the FPI controller provides good tracking performance under different circumstances for congestion avoidance in computer networks.
Baedaa H. Helal
Volume 12, Issue 1 , June 2012, , Page 20-31
Abstract
This paper produces a developed method based on steganography techniques to prevent
intruders from obtaining the transmitted information. This work is based on a combination of
steganography and cryptography techniques to increase the level of security and to make the
system more complex to be defeated ...
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This paper produces a developed method based on steganography techniques to prevent
intruders from obtaining the transmitted information. This work is based on a combination of
steganography and cryptography techniques to increase the level of security and to make the
system more complex to be defeated by attackers. The algorithm used for encryption is the
RC6 algorithm.
Two methods of hiding are used in this work: the first method is the Least Significant Bit
(LSB) and the second is the proposed and modified method used to hide bits in LSB of
iterated loop in brightness, red, green and blue of hiding image. The proposed method was
tested using standard objective measures such as Mean Square Error (MSE) and Peak Signal
to Noise Ratio (PSNR). A comparison between the two methods is performed.
Hazem I Ali
Volume 6, Issue 3 , December 2006, , Page 20-32
Safanah M. Raafat
Volume 6, Issue 1 , April 2006, , Page 20-29
Dr. Qais M. Alias; Ameer A. Mohammed
Volume 16, Issue 1 , December 2016, , Page 20-28
Abstract
Abstract –The advancement in science and engineering led to the development of relays, started by electromechanical, and followed by solid-state, and lately digital and numerical relays. Numerical relays are the result of the application of microprocessor technology in the relay industry. This paper ...
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Abstract –The advancement in science and engineering led to the development of relays, started by electromechanical, and followed by solid-state, and lately digital and numerical relays. Numerical relays are the result of the application of microprocessor technology in the relay industry. This paper describes an approach for detailed modeling of a numerical distance relay using MATLAB/SIMULINK. The distance relaying is for use in a modeled EHV transmission system. A section of 400 kV, 350 km length transmission lines is chosen for the case study. The numerical relay is modeled having Mho characteristics suitable for three-zone distance relaying. A set of tests were performed to investigate the applicability and consistency of the developed relay model. The results showed that the numerical relay model respond satisfactorily to fault incidents and in accordance with the expected results of the performed tests.
Dr.Basil Sh. Mahmood; Qutiaba Ibrahem Ali
Volume 7, Issue 1 , June 2007, , Page 21-30
Abstract
Abstract:
Industrial Ethernet is a new trend in technology designed to replace the traditional
industrial solutions such as point to point and field bus systems. This paper studies
Industrial Ethernet performance under different circumstances using the network simulation
package(OPNET). Firstly, ...
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Abstract:
Industrial Ethernet is a new trend in technology designed to replace the traditional
industrial solutions such as point to point and field bus systems. This paper studies
Industrial Ethernet performance under different circumstances using the network simulation
package(OPNET). Firstly, a validation procedure to the use of OPNET in simulating such
networks was made by comparing OPNET performance with practical experiments once
and then with analytical models results. Then OPNET was used to study the effect of
different parameters on the real time performance of the network. It was found that some
parameters like (packet length, number of nodes and packet production rate) have minor
effect on the network performance, while the others (packets processing rate and FTP
traffic transferred to an industrial node) could affect seriously on the network behavior.
Keywords: Industrial Ethernet , OPNET , Field bus , TCP/IP
Ali Farouq; Mr. Ahmed M. Hassan; Salam A. Ismaeel
Volume 7, Issue 2 , December 2007, , Page 21-34
Abstract
Abstract:
Over time, inertial navigators drift from their preset alignments. Or, the initial alignment may have been corrupted by vehicle motion, with imperfect transfer of alignment and velocities to the navigator. Also, there may not have been enough time to perfect alignment. In such case, navigators ...
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Abstract:
Over time, inertial navigators drift from their preset alignments. Or, the initial alignment may have been corrupted by vehicle motion, with imperfect transfer of alignment and velocities to the navigator. Also, there may not have been enough time to perfect alignment. In such case, navigators can be benefit from aiding such as GPS.
So that, the combination of GPS and INS has become increasingly common in the past few years, because the characteristics of GPS and INS are complementary.
The integration between the GPS and INS leads to accurate navigation solution by overcoming each of their respective shortcomings. And to make this integration possible the difference between the GPS and INS systems in sampling rate must be solved before any integration can be work properly.
Dr. Mohamed Jasim Mohamed; Dr. Laith Jasim Saud
Volume 14, Issue 1 , April 2014, , Page 21-34
Abstract
Abstract: There is an argument about the optimization capability of the Genetic Algorithm (GA) and whether its approach of search is guided or random. Although it has its own criticism, Schema theorem was the main effort for explaining the way a GA works, and justifying that the GA search is guided. ...
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Abstract: There is an argument about the optimization capability of the Genetic Algorithm (GA) and whether its approach of search is guided or random. Although it has its own criticism, Schema theorem was the main effort for explaining the way a GA works, and justifying that the GA search is guided. After that, Schema theorem efforts continued for analyzing and justifying GA optimization approach with no complete analytic proof so far.
In this paper a different approach, namely a statistical approach, is used to test and justify guidance feature in the Genetic Algorithm when it is used for optimization purposes. Different standard functions have been tried and different tests have been done, and the results obtained proved that the GA is a guided search method and not random at all. Moreover, the tests carried out and results obtained proved the importance and necessity of each of the operators or techniques used by the GA.
Saad Jabbar Abbas; Alexander N. Grachev; Ali Hussein Hasan
Volume 14, Issue 3 , December 2014, , Page 21-29
Abstract
Abstract –Accurate on-line estimates of critical system states and parameters are
needed in a variety of engineering applications, such as condition monitoring, fault
diagnosis, and process control. In these and many other applications it is required to
estimate a system variable which is not easily ...
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Abstract –Accurate on-line estimates of critical system states and parameters are
needed in a variety of engineering applications, such as condition monitoring, fault
diagnosis, and process control. In these and many other applications it is required to
estimate a system variable which is not easily accessible for measurement, using only
measured system inputs and outputs.
The classical identification methods, such as least-square method, are calculus-based
search method. They have many drawbacks such as requiring a good initial guess of the
parameter and gradient or higher-order derivatives of the objective function are
generally required also there is always a possibility to fall into a local minimum. In this
paper we develop on-line, robust, efficient, and global optimization identification for
parameters estimation based on genetic algorithms. The simulation results show that the
proposed algorithm is very fast to find and adapt the estimated parameters.
Ghaida A. AL-Suhail
Volume 9, Issue 1 , December 2009, , Page 22-33
Abstract
Abstract:
The coherent optical heterodyne receiver for a solid-state laser based on Optical Phase-Locked-Loop (OPLL) is investigated. The phase shift effect of IF-stage at the output laser frequency is proposed under noise terms conditions: shot noise and the components of laser frequency noise. Integral ...
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Abstract:
The coherent optical heterodyne receiver for a solid-state laser based on Optical Phase-Locked-Loop (OPLL) is investigated. The phase shift effect of IF-stage at the output laser frequency is proposed under noise terms conditions: shot noise and the components of laser frequency noise. Integral expressions in terms of delay-bandwidth product WnTd are derived to specify the optimal loop bandwidth required to minimize the phase error variance for various values of carrier-to-noise ratios (A2/No) in dB-Hz. The obtained results reveal that the synchronization limits of 0.25 (rad) maintain the standard deviation of phase error to be less than 10o and BER of 10¬-9 for Ʒ=0.707. Further,mon the normalized degradation factor (min) of the total phase error variance is also determined to be less than 1.6.
Mr. Zeyad A. Karam; Dr. Mohammed Y. Hassan
Volume 15, Issue 2 , August 2015, , Page 24-33
Abstract
Abstract –Physical disabilities such as full or partial loss of function in the shoulder and elbow are a common impairment in the elderly and a secondary effect due to strokes, trauma, sports and injuries. Rehabilitation programs are the main method to promote functional recovery in these subjects. ...
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Abstract –Physical disabilities such as full or partial loss of function in the shoulder and elbow are a common impairment in the elderly and a secondary effect due to strokes, trauma, sports and injuries. Rehabilitation programs are the main method to promote functional recovery in these subjects. This work focuses on designing and implementing a 3 DoF's non-wearable, light weight rehabilitation robot for rehabilitee the human arm that can be used in hospitals or homes. This robot structure eliminates arm singularity problem of the end effecter with respect to the robot base by adding an offset link. The design includes an adjustable mechanism standing on a seat for robot base and links to be adaptable for all body sizes and to align for all human arm lengths.
Intelligent PD-like Fuzzy Logic position controllers (FLCs) are designed for joints of the 3 DoF's robot to follow the desired medical trajectories during limited time with minimum overshoot and minimum oscillations in position response. These controllers are implemented using MATLAB Simulink. The controllers control the rehabilitation robot using Data Acquisition Card, (Advantech PCI-1712) that generates and reads the required digital and analog signals for robot. The experimental results are acceptable in terms of the practical application.
Luma Issa Abdul; Kreem
Volume 17, Issue 1 , December 2017, , Page 24-32
Abstract
Inferring 3D image from 2D image is an advance topic in computer vision. This article considers a 2D image depth estimation of an object and reconstructs it into a 3D object image. The 2D image is defined by slices, where each slice contains a set of points that are located along the object contour and ...
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Inferring 3D image from 2D image is an advance topic in computer vision. This article considers a 2D image depth estimation of an object and reconstructs it into a 3D object image. The 2D image is defined by slices, where each slice contains a set of points that are located along the object contour and within the object body. The depths of these slices are estimated using the neural network technique (N.N.), where five factors (slice length, angle of the incident light and illumination of some of points that located along the 2D object, namely control points) are used as inputs to the network. The estimated depths of the slices are mapped into a 3D surface using the interpolation technique of the Bezier Spline surface. Our model was tested and evaluated using different objects with different and complex shapes. The results showed an effective performance of the proposed approach.
Ahmed k. Hassan
Volume 8, Issue 1 , December 2008, , Page 25-33
Abstract
Abstract:
The main objective of this paper is to apply radial basis function neural networks (RBFNN) and evaluated its performance by comparing the results with other methods. In this paper two feature vectors are used separately to address speaker identification problem. The features are linear predictive ...
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Abstract:
The main objective of this paper is to apply radial basis function neural networks (RBFNN) and evaluated its performance by comparing the results with other methods. In this paper two feature vectors are used separately to address speaker identification problem. The features are linear predictive code (LPC) and Mel-frequency cepstral coefficient (MFCC).The radial basis function neural network (RBFNN) approach is used for matching purpose.
This work proposes can be summarized into three steps. The first step is to frame and windowing the input speech signal using hamming window. The second step is to extract the reference and test speech signal using LPC or MFCC as feature extraction. Finally, in the third step, radial basis function neural network has been used to perform the similarity between the test and reference templates. The results show that speaker identification using MFCC and RBFNN gives (100%) identification rate and higher identification rate compared with other method.
Asst. Prof. Dr. Ahmed Sabah Al-Araji
Volume 14, Issue 2 , August 2014, , Page 25-36
Abstract
Abstract –This paper presents an on-line nonlinear trajectory tracking control algorithm for differential wheeled mobile robot using optimal back-stepping technique based particle swarm optimization while following a pre-defined continuous path. The aim of the proposed feedback nonlinear kinematic ...
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Abstract –This paper presents an on-line nonlinear trajectory tracking control algorithm for differential wheeled mobile robot using optimal back-stepping technique based particle swarm optimization while following a pre-defined continuous path. The aim of the proposed feedback nonlinear kinematic controller is to find the optimal velocity control action for the real mobile robot. The particle swarm optimization algorithm is used to find the on-line optimal parameters for the proposed controller based on the Lyapunov criterion in order to check the stability of the control system. Simulation results (Matlab) and experimental work (LabVIEW) show the effectiveness and robustness of the proposed on-line nonlinear kinematic control algorithm. This is demonstrated by minimizing tracking error and obtaining smoothness of the optimal velocity control signal, especially with regards to the external disturbance attenuation problem.
.
Keywords:- Mobile Robots, Nonlinear Kinematic Controller, Back-Stepping Technique, Particle Swarm Optimization, Trajectory Tracking, Matlab package, LabVIEW package.
Dr. Israa Tahseen Al-attar
Volume 15, Issue 3 , December 2015, , Page 25-37
Abstract
Abstract – Mobile Ad Hoc Network (MANET) is a collection of multi-hop
wireless mobile nodes that communicate with each other without centralized control or
established infrastructure. MANETs has a wide range of applications, ranging from
mobile phone application to military applications. As the ...
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Abstract – Mobile Ad Hoc Network (MANET) is a collection of multi-hop
wireless mobile nodes that communicate with each other without centralized control or
established infrastructure. MANETs has a wide range of applications, ranging from
mobile phone application to military applications. As the application of MANETs
increases, the attacks on MANETs also increase. Due to mobility of nodes, frequent link
breakage carry out, and it's widely use, MANET’s routing is considered as a challenging
job. A vast range of research is being conducted to keep routing in MANETs robust and
secure. One of the major research areas is routing privacy. This paper presents a
description of routing protocols that have the major challenges in ad hoc networks with a
particular focus on their characteristics, functionality, and security features and makes
their comparative analysis. Further, this study will help the researchers to get an
overview of the existing protocols and suggest which protocols may perform better with
respect to varying network scenarios.
Dr. Ali I. Mahddi; Ali Haddy Nassir; Dr. Hussam K. Abdul-Ameer
Volume 10, Issue 1 , December 2010, , Page 26-45
Abstract
Abstract:
In this research, the dynamic response of the electro-hydraulic system was investigated and analyzed based on adeveloped vision system. An experimental setup, which consist ofhydraulic acircuit (tank, supply pump, pressure gauges, hydraulic actuator, and proportional directional valve) was ...
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Abstract:
In this research, the dynamic response of the electro-hydraulic system was investigated and analyzed based on adeveloped vision system. An experimental setup, which consist ofhydraulic acircuit (tank, supply pump, pressure gauges, hydraulic actuator, and proportional directional valve) was developed and implemented. In addition, an electronic interface circuit used to control the proportional valve via a personal computer was built. The proposed vision system consistsof adigital video camera used to monitor the hydraulic actuator base on two types of camera poses; fixed and on-rod poses. Algorithms and computer programs were implemented for acquiring the image data from the gained video frames. Extra processing steps of the obtained image data were applied to achieve actuator position, velocity, and acceleration. The mathematical model of the developed experimental setup was derived and simulated using SIMULINK software, where it consists of two parts; proportional valve model and hydraulic actuator model.
Evaluation of the theoretical and experimental results and error analyses were presented, where it can be concluded that the use of the vision system as a feedback unit in hydraulic circuit can give promising results in position and force control problem.
Omar F. Al-Karkhy; Intisar A. M. Al-Said; Ahmed I. Al-Dulaimy
Volume 4, Issue 1 , December 2004, , Page 26-36
Bushra Fadhel; Dr. Salih Al-Qaraawi; Dr. Sawsan A. Majid
Volume 13, Issue 2 , August 2013, , Page 26-39
Abstract
Abstract –The use of LANs such as campus networks has become the features of the world
that we live-in. In this paper, a detailed studying is presented for designing and analyzing computer
networks for University of Technology campus into 19 buildings.
A Star-Ring topology was proposed and implemented ...
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Abstract –The use of LANs such as campus networks has become the features of the world
that we live-in. In this paper, a detailed studying is presented for designing and analyzing computer
networks for University of Technology campus into 19 buildings.
A Star-Ring topology was proposed and implemented using an Optiysystem software simulation.
This software was used because it can simulate the design system with a much more realistic modeling to
reduce cost and time of practical work and achieve high accuracy of the designed system before
implementation. All the data used to build this optical LAN are in accordance with real existing data.
The results appear with the range, the qualification depends on the result of design simulation for
good quality result and which are targeted to all design.
Dr. Siddeeq Y. Ameen; Muhaned I. Al-Farras; Wial Abdal-Hassan
Volume 5, Issue 2 , December 2005, , Page 27-43
Abstract
Abstract:
Link quality evaluation unit is very essential in recent digital data receiver
especially in time vary channel such as HF and mobile radio. It provides the adaptive
detector with the required information or parameters optimize its performance from the
power and rate points of views. These ...
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Abstract:
Link quality evaluation unit is very essential in recent digital data receiver
especially in time vary channel such as HF and mobile radio. It provides the adaptive
detector with the required information or parameters optimize its performance from the
power and rate points of views. These information parameters include the signal-tonoise
ratio, Doppler spread, channel severity and the estimate of the sampled impulse
response of the channel.
Efficient schemes for the estimation of HF channel were presented. The chosen
parameters are the Doppler spread, channel severity and the signal-to-noise ratio which
are the dominant ionosheric propagation parameters.
Computer simulation tests have been carried out to evaluate these estimators over HF
channel that has been simulated based on Waterson model. Results of computer
simulation tests have shown the ability of these estimators to track the variation of the
HF channel accurately and efficiently.
Lubna Zaghlul Bashir; Nada Mahdi
Volume 13, Issue 3 , December 2013, , Page 27-40
Abstract
Abstract-The ability to recognize quickly and accurately which we encounter is
fundamental to normal intelligent human behavior. However, how the learning of
categories which objects in the world fit into takes place is still an unanswered question.
One thing is certain though; much of the learning ...
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Abstract-The ability to recognize quickly and accurately which we encounter is
fundamental to normal intelligent human behavior. However, how the learning of
categories which objects in the world fit into takes place is still an unanswered question.
One thing is certain though; much of the learning that takes place allows humans to
cope with the changing they encounter. One of the most important aspects of human
intelligence is its flexibility which has allowed humans to prosper in a dynamic world.
Humans do not suffer from the ills of old fashioned hard rule based artificial
intelligence. The study tested six cubes. The vertices of the cubes represent individual
stimuli constructed from three binary dimensions. The dimension of the stimuli can be
assumed to correspond to shape (square vs. circle), color (black vs. white), and size
(large vs. small). Four stimuli belonged to one category and the other four to a different
category. These constraints result in six problem types, which are illustrated by the six
cubes. The circle vertices represent stimuli that belong to category A, and the square
vertices represent stimuli that belong to category B. The faces of the cubes represent a
constant value across one of the three dimensions that define the stimuli. This work
presents experiments with two different classifier systems: learning when fitness is
based upon strength and specificity, and learning when fitness is based on strength
alone. The system is implemented using Pascal programming language. Results show
lower performance of the system when depending on strength alone. By contrast, the
run with strength and specificity allows a fast desired output.
Assistant Prof. Dr. Mohammed Y. Hassan; Ahmed G. Mohammed
Volume 11, Issue 2 , December 2011, , Page 28-35
Abstract
Abstract:
The Braille system is a method that is widely used by blind people to read and write. Braille generally consists of cells of raised dots arranged in a grid. The presence or absence of dots can be sensed by the blind people’s fingertips to give them the coding for the symbol.
The electronic ...
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Abstract:
The Braille system is a method that is widely used by blind people to read and write. Braille generally consists of cells of raised dots arranged in a grid. The presence or absence of dots can be sensed by the blind people’s fingertips to give them the coding for the symbol.
The electronic revolution is changing the way Braille is produced, stored and retrieved, making it easier to use in the work place. All kinds of materials can be put into Braille, from bank statements, bus timetables, maps to music. But it is still difficult to produce an error-free Braille for complex materials. In this paper, the ability of the neural networks will be tested to be used for translating scanned text pages, books or lectures from English language into Grade I Braille; so that blind people can deal with it.
An artificial neural network is designed with minimum structure and tested to convert the English characters into grade I literary Braille code. English characters will be assumed to be affected by noise of mean variant between 0 and 0.4.The output of the N.N can be stored in a data file that can be sent into a Braille printer or a Braille display.
W. A. Mahmoud; M. S. AbdulWahab; H. N. AL-Taai
Volume 6, Issue 2 , August 2006, , Page 28-46
Abstract
Abstract:
The relatively new field of multiwavelets shows promise in removing some of
the limitations of wavelets. Multiwavelets offer more design options and hence can
combine all desirable transform features. In this paper several new algorithms for
computing advance transforms are proposed. Firstly ...
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Abstract:
The relatively new field of multiwavelets shows promise in removing some of
the limitations of wavelets. Multiwavelets offer more design options and hence can
combine all desirable transform features. In this paper several new algorithms for
computing advance transforms are proposed. Firstly a fast procedure for computing of
1-D and 2-D multiwavelet transforms is introduced. Secondly, for the first time, a
complete new procedure for computing of 3-D multiwavelet transforms is given.
Thirdly, the inverse procedures of all the above transform for multi-dimensional cases
are verified. In addition to the mathematical prove, all these new algorithms were
verified also using illustrated example.
Dr. Laith Jasim Saud
Volume 12, Issue 2 , December 2012, , Page 28-34
Abstract
Abstract:
Communication network efficiency depends upon many factors among which is the “Topology” which makes topology optimization an important issue to care for. One important thing in optimization problems is the formulation of objective functions. For the case of topology design it is not a ...
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Abstract:
Communication network efficiency depends upon many factors among which is the “Topology” which makes topology optimization an important issue to care for. One important thing in optimization problems is the formulation of objective functions. For the case of topology design it is not a straightforward matter to develop an efficient topology model as well as objective functions to be used in the optimization process. An effective unconventional approach is needed. This paper is concerned with enhancing the already existing set of formulas, relating topology and topology properties modeling and topology design objectives, by proposing a 3-dimension way of modeling that can serve network analysis, design, and optimization. The approach is based on graph theory. The proposed model and formulas can be easily programmed.
Dr.Jassim M.Abdul-Jabbar; Afaf A.Abood AL-Dearawy
Volume 5, Issue 1 , June 2005, , Page 29-41
Abstract
Abstract:
Linear phase requirement can be achieved by direct design with an FIR filter at
the expense of high order and high computational burden for the given specification.
Alternatively, IIR digital filters can be designed with much smaller order than their FIR
counterparts, but at the expense ...
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Abstract:
Linear phase requirement can be achieved by direct design with an FIR filter at
the expense of high order and high computational burden for the given specification.
Alternatively, IIR digital filters can be designed with much smaller order than their FIR
counterparts, but at the expense of the non-linear phase. In this paper, a new design of
linear phase IIR digital filter is presented by composing a zero phase efficiently
designed FIR digital filter with maximally flat group delay. The new IIR digital filter is
designed with a lower order satisfying the same roll-off magnitude response of the
corresponding FIR filter and preserving the approximate pass-band characteristics.
Riyadh Jabbar Soudani
Volume 16, Issue 1 , December 2016, , Page 29-37
Abstract
Abstract –This paper presents a proposed technique to compress images using weighted 3D polynomials fitting technique that fits all pixels as possible in the image. This technique uses high-order weighted 3D polynomials to obtain high quality compressed images especially in the medical images. These ...
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Abstract –This paper presents a proposed technique to compress images using weighted 3D polynomials fitting technique that fits all pixels as possible in the image. This technique uses high-order weighted 3D polynomials to obtain high quality compressed images especially in the medical images. These types of images seek for high details with an acceptable compression ratio. This procedure of weighted 3D polynomials fitting ensures to preserve the quality of image during the decompression and zooming-in process. After applying scalar quantization and Huffman encoding to the weighted polynomials coefficients for each block of image; mean square error (MSE), peak signal to noise ratio (PSNR), processing time, and compression ratio (CR) are evaluated for different degree of weighted polynomials and for different medical image block sizes. Computer results showed that the proposed technique gives an acceptable image quality under zooming-in process compared with standard surface fitting that uses non-weighted polynomials but at the expanse of compression ratio.
