scholarly journals Multirate Systems and Filterbanks

2002 ◽  
pp. 27-85 ◽  
Author(s):  
Tapio Saramaki ◽  
Robert Bregovic
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Speech Coding ◽  
Filter Banks ◽  
Main Idea ◽  
Adaptive Signal Processing ◽  
Signal And Image Processing ◽  
Multirate Systems ◽  
Multirate Filter Banks ◽  
Adaptive Signal

During the last two decades, multirate filter banks have found various applications in many different areas, such as speech coding, scrambling, adaptive signal processing, image compression, signal and image processing applications as well as transmission of several signals through the same channel (Malvar, 1992a; Vaidyanathan, 1993; Vetterli and Kovacevic, 1995; Fliege, 1994; Misiti, Misiti, Oppenheim and Poggi, 1996). The main idea of using multirate filter banks is the ability of the system to separate in the frequency domain the signal under consideration into two or more signals or to compose two or more different signals into a single signal.

Efficient Multirate Filtering

2011 ◽  
pp. 1294-1299
Author(s):  
Ljiljana D. Milic
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Digital Filter ◽  
Input Data ◽  
Filter Banks ◽  
Sampling Rate ◽  
Digital Audio ◽  
Multirate Filter Banks ◽  
Computation Speed

A multirate filter can be defined as a digital filter in which the input data rate is changed in one or more intermediate points. With the efficient multirate approach, computations are evaluated at the lowest possible sampling rate, thus improving the computational efficiency, increasing the computation speed, and lowering the power consumption. Multirate filters are of essential importance for communications, image processing, digital audio, and multimedia. The role of multirate filtering in modern signal processing systems is threefold: Firstly, they are used whenever there is a need to preserve the signal properties when connecting two systems operating at different sampling rates. Secondly, multirate techniques are used for constructing filters with stringent spectral constraints that are very difficult, even impossible, to be solved otherwise. Thirdly, multirate filters are used in constructing multirate filter banks.

STUDY ON RECURSIVE CONSTRUCTION METHOD OF BIORTHOGONAL WAVELETS FOR SIGNAL PROCESSING

2004 ◽  
Vol 02 (02) ◽  
pp. 197-206 ◽  
Author(s):  
ZHONGHONG YAN ◽  
JIAN PING LI ◽  
YONG QIN YANG ◽  
YUAN YAN TANG
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Special Functions ◽  
Lifting Scheme ◽  
Adaptive Signal Processing ◽  
Construction Method ◽  
Recursive Construction ◽  
Biorthogonal Wavelets ◽  
Wavelet Bases ◽  
Adaptive Signal

Wavelet has been applying in signal analyzing, image processing model recognizing, computer sense etc. But among them biorthogonal wavelets with symmetry characteristics (or antisymmetry) in the image compressing, signal examination has more special functions, this paper research a recursive construction method, at the same time, It is valuable to notice that our recursive methods are not the same as the W. Seldens's lifting scheme, the new technique has important mean to adaptive signal processing and more application: such as for QMF•CQF etc. filters. It is very easy to choose the wavelet bases match to questions by dynamically.

LOCALLY IMPLEMENTABLE MATRIX FLOWS AND THEIR APPLICATION TO NEURAL NETWORK LEARNING

1994 ◽  
Vol 04 (01) ◽  
pp. 23-51 ◽  
Author(s):  
JEROEN DEHAENE ◽  
JOOS VANDEWALLE
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Network Structure ◽  
Adaptive Signal Processing ◽  
External Signal ◽  
Neural Network Learning ◽  
Network Learning ◽  
Adaptive Signal

A number of matrix flows, based on isospectral and isodirectional flows, is studied and modified for the purpose of local implementability on a network structure. The flows converge to matrices with a predefined spectrum and eigenvectors which are determined by an external signal. The flows can be useful for adaptive signal processing applications and are applied to neural network learning.

Sign in / Sign up

Export Citation Format

Share Document