Discrete time systems and signal processing by chitode

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discrete time systems and signal processing by chitode

Digital Signal Processing - A Conceptual Approach by J.S. Chitode

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Published 12.12.2018

Continuous Time & Discrete Time Signals

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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.

Signals And Systems. Signal AnalysisAnalogy between vectors and signals, Orthogonal signal space, Signal approximation using orthogonal functions, Mean square error, Closed or complete set of orthogonal functions, Orthogonality in complex functions, Exponential and sinusoidal signals, Concepts of Impulse function, Unit step function, Signum function. Fourier TransformsDeriving Fourier transform from Fourier series, Fourier transform of arbitrary signal, Fourier transform of standard signals, Fourier transform of periodic signals, Properties of Fourier transforms, Fourier transforms involving impulse function and Signum function. Introduction to Hilbert transform. Filter characteristics of linear systems. Convolution and Correlation of SignalsConcept of convolution in time domain and frequency domain, Graphical representation of convolution, Convolution property of Fourier transforms.

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