Book Details

Digital Signal Processing

Digital Signal Processing

Published by uLektz

Course Code:ULZ0183

Author:uLektz

University: General for All University

Regulation:2017

Categories:Electronics & Communication

Format : ico_bookePUB3 (DRM Protected)

Type :eBook

Rs.199 Rs.30 Rs.85% off

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Description :Digital Signal Processing of ULZ0183 covers the latest syllabus prescribed by General for All University for regulation 2017. Author: uLektz, Published by uLektz Learning Solutions Private Limited.

Note : No printed book. Only ebook. Access eBook using uLektz apps for Android, iOS and Windows Desktop PC.

Topics
UNIT - I THE Z-TRANSFORM AND ITS APPLICATION TO THE ANALYSIS OF LTI SYSTEMS, THE DISCRETE FOURIER TRANSFORM: ITS PROPERTIES AND APPLICATIONS

1.1 The Z-Transform: The Direct Z-Transform, The Inverse Z-Transform; Properties of the Z-Transform

1.2 Inversion of the Z-Transforms: The Inversion of the Z-Transform by Power Series Expansion, The Inversion of the Z-Transform by Partial-Fraction Expansion

1.3 Analysis of Linear Time-Invariant Systems in the z-Domain: Response of Systems with rational System Functions, Transient and Steady-State Responses, Causality and Stability, Pole-Zero Cancellations

1.4 Frequency Domain Sampling: Frequency-Domain Sampling and Reconstruction of Discrete-Time Signals

1.5 The Discrete Fourier Transform, The DFT as a Linear Transformation, Relationship of the DFT to other Transforms, Properties of the DFT: Periodicity, Linearity, and Symmetry Properties, Multiplication of Two DFTs and Circular Convolution, Additional DFT Properties

1.6 Linear Filtering Methods Based on the DFT: Use of the DFT in Linear Filtering, Filtering of Long Data Sequences; Frequency Analysis of Signals using the DFT

1.7 The Discrete Cosine Transform: Forward DCT, Inverse DCT, DCT as an Orthogonal Transform

UNIT – II IMPLEMENTATION OF DISCRETE-TIME SYSTEMS AND DESIGN OF DIGITAL FILTERS

2.1 Implementation of Discrete-Time Systems: Structure for the Realization of Discrete-Time Systems

2.2 Structure for FIR Systems: Direct-Form Structure, Cascade-Form Structures, Frequency-Sampling Structures

2.3 Structure for IIR Systems: Direct-Form Structures, Signal Flow Graphs and Transposed Structures, Cascade-Form Structures, Parallel-Form Structures

2.4 Design of Digital Filters: General Considerations: Causality and Its Implications, Characteristics of Practical Frequency-Selective Filters

2.5 Design of FIR Filters: Symmetric and Antisymmetric FIR Filters, Design of Linear-Phase FIR Filters by using Windows, Design of Linear-Phase FIR Filters by the Frequency-Sampling Method

2.6 Design of IIR Filters from Analog Filters: IIR Filter Design by Impulse Invariance, IIR Filter Design by the Bilinear Transformation

UNIT- III EFFICIENT COMPUTATION OF THE DFT: FAST FOURIER TRANSFORM ALGORITHMS AND ADAPTIVE FILTERS

3.1 Efficient Computation of the DFT: FFT Algorithms: Direct Computation of the DFT, Radix-2 FFT Algorithms: Decimation-In-Time (DIT), Decimation-In-Frequency(DIF)

3.2 Applications of FFT Algorithms: Efficient Computation of the DFT of two Real Sequences, Efficient Computation of the DFT a 2N-Point Real Sequence, Use of the FFT Algorithm in Linear Filtering and Correlation

3.3 Application of Adaptive Filters: System Identification or System Modeling, Adaptive Channel Equalization, Adaptive Line Enhancer, Adaptive Noise Cancelling; Adaptive Direct-Form FIR Filters

3.4 The LMS Algorithm: Minimum Mean Square Error Criterion, The LMS Algorithm

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