Digital Signal Processing - A Conceptual Approach by J.S. Chitode
Classifications of Discrete Time Systems - Digital Signal Processing
Editore: Technical Publications 0. Valutazione venditore:. Descrizione: Technical Publications 0. Condizione: New. First edition.
Digital Signal Processing. Characterization and classification of signals - examples of signals - multichannel -multi-dimensional - continuous versus discrete - analog versus digital - concept of frequency. Concepts of signal processing - typical applications - advantages of digital signal processing compared with analog processing. Discrete Time SystemsRepresentations-classifications - time domain and frequency domain characterization - transfer functions - Z-transform and applications. Frequency Analysis Of SignalsAnalysis of analog and discrete signals-using Fourier series, Fourier transform, Fourier transform of discrete sequence and discrete Fourier transform-properties of transforms-computation of discrete Fourier transforms-Radix 2. FFT algorithms. Digital Processing Of Continuous SignalsSampling of continuous signals-analog filter design-anti aliasing filters-sample and hold circuit-reconstructing filters-analog to digital and digital to analog converters.
New & Used Books
Digital Signal Processing. Classification of systems : Continuous, discrete, linear, causal, stable, dynamic, recursive, time variance : classification of signals : continuous and discrete, energy and power; mathematical representation of signals; spectral density; sampling techniques, quantization, quantization error, Nyquist rate, aliasing effect, Digital signal representation, analog to digital conversion. Discrete Time System Analysisz-transform and its properties, inverse z-transforms, difference equation - Solution by z-transform, application to discrete systems - Stability analysis, frequency response - Convolution - Fourier transform of discrete sequence - Discrete Fourier series. IIR design : Analog filter design - Butterworth and Chebyshev approximations; digital design using impulse invariant and bilinear transformation - Warping, prewarping - Frequency transformation. Chapter 1 Introduction 11 to Chapter 2 Discrete Time System Analysis 21 to 2