Keywords : Wavelet Transform
ESTIMATION OF THE NUMBER OF SOURCES BY APPLYING MDL TO THE OUTPUT OF QUADRATURE MIRROR FILTER BANK
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING,
2008, Volume 8, Issue 1, Pages 127-134
Abstract:
Estimating the number of sources impinging on an array of sensors is a well known and well investigated problem .A common approach for solving this problem is to use an information theoretic criterion, such as Minimum Description Length (MDL) . MDL technique is very important in many application , but its response degrades under low signal-to-noise ratio (SNR) conditions. This paper proposes a new system to estimate the number of sources by applying MDL to the output of the filter bank consisting quadrature mirror filters (QMF) . Some numerical experiments show that the proposed method can estimate the number of sources under low signal-to-noise ratio(SNR).
Speech Enhancement Using Wavelet Transform
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING,
2008, Volume 8, Issue 1, Pages 34-40
Abstract:
Speech enhancement is an important proceeding which it can be achieved by estimate the clean speech from noisy speech. The clean speech is corrupted by white Gaussian noise . In this paper, thresholding the wavelet coefficients, that can be done by standard deviation method for each frame by level dependent thresholding using semi soft threshold and soft threshold .The results in this work indicate that using wavelet transform in speech enhancement application provides a good quality (measured in object SNR test) as well as provides other advantages which make it more suitable for some application s such as a split of frequencies and enhancement the speech in real time applications .
Wavelet and Wavelet Packet Transform Realization Using FPGA
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING,
2006, Volume 6, Issue 2, Pages 1-18
Abstract:
This paper provides a new algorithm for the evaluation of WAVELET
TRANSFORM (WT) and the WAVELET PACKET TRANSFORM (WPT) using Field
Programmable Gate Array (FPGA).
FPGA realization is the most recent category, which takes the place in the
implementation of DSP applications, and it had proved the capability to handle such jobs
and supports the necessary needs of scalability, speed, size, cost, and efficiency.
The WT & WPT coefficients are depend upon the multi resolution analysis approach
using HAAR or DUBCHIES2 bases functions. Next, coefficients are evaluated in the
FPGA card through its implementation using logical circuits using a specified electronic
library kit.