Study of multirate systems and filter banks using GNU Radio

2015 ◽  
Author(s):  
Lekshmi Kiran.S ◽  
Parvathy.G.Mol ◽  
Hisham.P.M ◽  
Gandhiraj.R ◽  
Soman.K.P
Keyword(s):  
Filter Banks ◽  
Gnu Radio ◽  
Multirate Systems

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.

Applications of Filter Banks to Communications

2002 ◽  
pp. 225-256
Author(s):  
Cihan Tepedelenlioglu ◽  
Gerogios B. Giannakis
Keyword(s):  
Signal Processing ◽  
Channel Coding ◽  
Filter Banks ◽  
Channel Identification ◽  
Multirate Systems ◽  
Blind Channel Identification ◽  
Blind Channel ◽  
Channel Statistics ◽  
Communication System Design ◽  
Estimation Of Time

Multirate systems and filter banks have found many applications in source and channel coding over the last decade. This chapter addresses the design of multirate transceivers for optimal transmissions, blind channel identification and equalization, as well as the estimation of time-variant channels and channel statistics. It is hoped that the chapter illustrates how multirate systems and filter banks provide a bridge between communication system design/analysis and signal processing tools.

Optimization of Perfect Reconstruction Cosine-Modulated Filter Banks: Fast Algorithm

2001 ◽  
Vol 56 (12) ◽  
pp. 8 ◽  
Author(s):  
Oscar G. Ibarra-Manzano ◽  
Yuriy V. Shkvarko ◽  
Rene Jaime-Rivas ◽  
Jose A. Andrade-Lucio ◽  
Gordana Jovanovic-Dolecek
Keyword(s):  
Fast Algorithm ◽  
Filter Banks ◽  
Perfect Reconstruction

Near-Perfect Reconstruction Oversampled Nonuniform Cosine-Modulated Filter Banks Based on Frequency Warping and Subband Merging

2012 ◽  
Vol 58 (2) ◽  
pp. 177-192 ◽  
Author(s):  
Marek Parfieniuk ◽  
Alexander Petrovsky
Keyword(s):  
Group Delay ◽  
Filter Banks ◽  
Main Idea ◽  
Perceptual Processing ◽  
Perfect Reconstruction ◽  
Frequency Warping ◽  
Small Loss ◽  
Novel Method ◽  
The One ◽  
Near Perfect Reconstruction

Near-Perfect Reconstruction Oversampled Nonuniform Cosine-Modulated Filter Banks Based on Frequency Warping and Subband MergingA novel method for designing near-perfect reconstruction oversampled nonuniform cosine-modulated filter banks is proposed, which combines frequency warping and subband merging, and thus offers more flexibility than known techniques. On the one hand, desirable frequency partitionings can be better approximated. On the other hand, at the price of only a small loss in partitioning accuracy, both warping strength and number of channels before merging can be adjusted so as to minimize the computational complexity of a system. In particular, the coefficient of the function behind warping can be constrained to be a negative integer power of two, so that multiplications related to allpass filtering can be replaced with more efficient binary shifts. The main idea is accompanied by some contributions to the theory of warped filter banks. Namely, group delay equalization is thoroughly investigated, and it is shown how to avoid significant aliasing by channel oversampling. Our research revolves around filter banks for perceptual processing of sound, which are required to approximate the psychoacoustic scales well and need not guarantee perfect reconstruction.

A Robust Speaker Identification Method Based on the Wavelet Filter Banks

2002 ◽  
Vol 9C (4) ◽  
pp. 459-466
Author(s):  
Dae-Jong Lee ◽  
Geun-Chang Gwak ◽  
Jeong-Ung Yu ◽  
Myeong-Geun Jeon
Keyword(s):  
Filter Banks ◽  
Speaker Identification ◽  
Wavelet Filter ◽  
Identification Method ◽  
Robust Speaker Identification
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