Digital Signal Processing

Front Cover
Technical Publications, 2005 - 933 pages
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Classification of Signals : Analog, Discrete-time and Digital, Basic sequences and sequence operations, Discrete-time systems, Properties of D.T. Systems and Classification, Linear Time Invariant Systems, Impulse response, Linear convolution and its properties, Properties of LTI systems : Stability, Causality, Parallel and Cascade connection, Linear constant coefficient difference equations, Eigen functions for LTI systems and frequency response, Periodic sampling, Sampling theorem, Frequency Domain representation of sampling, reconstruction of a band limited signal, A to D conversion process : Sampling, Quantization and Encoding.Representation of sequences by Fourier Transform, Symmetry properties of F.T., F.T. theorems : Linearity, Time shifting, Frequency shifting, Time reversal, Differentiation, Parseval's theorem, Convolution theorem, Windowing theorem, Z-transform, ROC and its properties, Inverse z-transform by inspection, Partial fraction, Power series expansion and Complex inversion, Z-transform properties : Linearity, Time shifting, Multiplication by exponential sequence, Differentiation, Conjunction, Time reversal, Convolution, Initial value theorem, Unilateral Z-transform : solution of difference equation.Frequency Response of LTI Systems Ideal frequency selective filters, Magnitude and Phase response, Group delay, System functions for LTI systems : Stability and causality, Inverse systems, Significance of poles/zeros, Frequency response for rational system functions : Frequency response of a single zero or pole, Frequency response from pole-zero plot using simple geometric construction, Systems with linear phase, Generalized Linear phase systems, Four types of GLPS.Sampling the F.T., Fourier Representation of Finite-duration Sequences :The discrete Fourier transform, Properties of DFT : Linearity, Circular shift, Duality, Symmetry, Circular convolution, Linear convolution using DFT, Effective computation of DFT and FFT, Goerzel algorithm, DIT FFT, DIF FFT, Inverse DFT using FFT, Practical considerations in FFT implementation.Concept of filtering, Ideal filters and approximations, Specifications, IIR filter design from continuous time filters : Characteristics of Butterworth, Chebshev and elliptic approximations, Impulse invariant and bilinear transformation techniques, Design examples, FIR filter design using windows : Properties of commonly used windows, Incorporation of Generalized linear phase, Design examples, Design using Kaiser window, Comparison of IIR and FIR Filters.Block diagrams and Signal flow graph representation LCCDE, Basic structures for IIR Systems : Direct form, Cascade form, Parallel form, Feedback in IIR systems, Transposed forms, Basic Structures for FIR Systems : Direct form, Cascade form, Structures for linear phase FIR systems, Finite Register Length effect.DSP Processors Architecture and Applications of DSP : Detail study of DSP chip architecture as an example of ADSP 21XX series of microprocessor and their desirable features, Instruction set of ADSP 21XX series processor and some examples.

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ultimate book for very simple language.. useful to clear basic fundas..


Chapter2 Fourier Transform and ZTrarisform
Frequency Response of LTI Systems
Chapter4 DFT and
Chapter5 Digital Filters
Chapter6 Block diagram Signal Flow Graph Representation of LCCDE
Chapter7 DSP Processors and Applications
AppendixA Important Mathematical Relations
AppendixB zTransform DFT Properties 76
Assignment 7 NPoint Circular Convolution or Linear Convolution using Circular
Assignment 9 DIT FFT Algorithm to Find DFT or IDFT
Assignment 10 DFT of a Given Sequence using Goertzel Algorithm
Assignment 11 Fourier Transform of Various Window Functions
Assignment 12 Butterworth Filter Design using Bilinear Transformation
Assignment 13 Filter Design using Windows
Assembly Program 1 Differential Equation Implementation on ADSP2105
Oral Questions on DSP Processors and Assembly Programming

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