Multirate signal processing

Part 2 book "Applied digital signal processing - Theory and practic" includes content: Computation of the Discrete Fourier Transform; structures for discrete-time systems, design of FIR filters, design of IIR filters, multirate signal processing.

559p oursky02 07-08-2023 8 4   Download

Principles, algorithms and applications: Digital signal processing (Fourth Edition) - Part 2 has present the content efficient computation of the DFT: fast fourier transform algorithms; implementation of discrete-time systems; design of digital filters; multirate digital signal processing; linear prediction and optimum linear filters; adaptive filters; frequency analysis of signals using the DFT;...

476p chenlinong_0310 23-02-2022 31 3   Download

The document Algorithms and applications - Digital signal processing principles present the content: discrete-time signals and systems, the Z-transform and its application to the analysis of LTI systems, frequency analysis of signals and systems, the discrete fourier transform: its properties and applications, efficient computation of the dft: fast fourier transform algorithms, implementation of discrete-time systems, design of digital filters, sampling and reconstruction of signals, multirate digital signal processing, linear prediction and optimum linear filters, power spectrum estimation.

1033p cao_duy_son 15-08-2019 70 7   Download

The document Applied processing digital signal presnet the content: applications of digital signal processing, discrete-time signals and systems, the Z-transform, fourier representation of signals, transform analysis of LTI systems, sampling of continuous-time signals, the discrete Fourier transform, computation of the discrete fourier transform, structures for discrete-time systems, design of fir filters, design of IIR filters, multirate signal processing, random signals, random signal processing, finite Wordlength effects.

1009p cao_duy_son 15-08-2019 81 6   Download

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

622p loi09dt1 27-01-2013 100 16   Download

Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 289184, 11 pages doi:10.1155/2008/289184 Research Article Multirate Formulation for Mismatch Sensitivity Analysis of Analog-to-Digital Converters That Utilize Parallel ΣΔ-Modulators ¨ Anton Blad, H˚ kan Johansson, and Per Lowenborg a Division of Electronics Systems, Department of Electrical Engineering, Link¨ping University, Sweden o Correspondence should be addressed to Anton Blad, antonb@isy.liu.

11p dauphong18 24-02-2012 41 3   Download

Filter banks are arrangements low pass, bandpass, and highpass filters used of for the spectral decomposition and composition of signals. They play an important role in many modern signal processing applications such as audio and image coding. The reason for their popularity is the fact that they easily allow the extractionof spectral components of a signal while providing very efficient implementations. Since most filter banks involve various sampling rates, they are also referred to as multirate systems....

53p doroxon 12-08-2010 101 6   Download

INTERPOLATION 10.1 10.2 10.3 10.4 Introduction Polynomial Interpolation Model-Based Interpolation Summary ? ?…? I nterpolation is the estimation of the unknown, or the lost, samples of a signal using a weighted average of a number of known samples at the neighbourhood points. Interpolators are used in various forms in most signal processing and decision making systems.

36p khinhkha 30-07-2010 84 7   Download

Filter Banks and Wavelets The methods of designing bases that we will employ draw on ideas first used in the construction of multirate filter banks. The idea of such systems is to take an input system and split it into subsequences using banks of filters. This simplest case involves splitting into just two parts using a structure such as that shown in Fig. 35.1. This technique has a long history of use in the area of subband coding: first of speech [1, 2] and more recently of images [3, 4]. In fact, the most successful image coding schemes are based on...

16p longmontran 18-01-2010 89 10   Download

Overlap-Add and Overlap-Save Methods for Fast Convolution 8.3 8.4 Block Convolution Block Recursion Overlap-Add • Overlap-Save • Use of the Overlap Methods Short and Medium Length Convolution The Toom-Cook Method • Cyclic Convolution • Winograd Short Convolution Algorithm • The Agarwal-Cooley Algorithm • The Split-Nesting Algorithm 8.5 8.6 8.7 8.8 Multirate Methods for Running Convolution Convolution in Subbands Distributed Arithmetic Multiplication is Convolution • Convolution is Two Dimensional • Distributed Arithmetic by Table Lookup Ivan W.

22p longmontran 18-01-2010 86 12   Download

Time Frequency and Multirate Signal Processing

4p nguyen4 16-11-2009 64 5   Download