Book Details

Principles of Digital Signal Processing

Principles of Digital Signal Processing

Published by uLektz

Course Code:EC6502

Author:uLektz

University: Anna University, Tamil Nadu

Regulation:2013

Categories:Electronics & Communication

Format : ico_bookePUB3 (DRM Protected)

Type :eBook

Rs.199 Rs.30 Rs.85% off

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Description :Principles of Digital Signal Processing of EC6502 covers the latest syllabus prescribed by Anna University, Tamil Nadu for regulation 2013. 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 DISCRETE FOURIER TRANSFORM

1.1.Discrete Signals and Systems

1.2 Introduction to DFT

1.3 Properties of DFT

1.4 Circular Convolution

1.5 Filtering methods based on DFT – FFT Algorithms

1.6 Decimation in time Algorithms

1.7 Decimation in frequency Algorithms,Comparison of DIT-FFT, DIF – FFT Basic Butterfly diagram, Comparison of DIT and DIF

1.8 Use of FFT in Linear Filtering

UNIT II IIR FILTER DESIGN

2.1 Structures of IIR

2.2 Analog filter design, Butterworth Filter , Chebyshev Filter

2.3 Discrete time IIR filter from analog filter

2.4 IIR filter design by Impulse Invariance

2.5 IIR filter design by Bilinear transformation

2.6 Approximation of derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.

UNIT III FIR FILTER DESIGN

3.1 Structures of FIR

3.2 Linear phase FIR filter

3.3 Fourier Series

3.4 Filter design using windowing techniques, Rectangular Window, Hamming Window, Hanning Window

3.5 Frequency sampling techniques

3.6 Finite word length effects in digital Filters, Errors, Limit Cycle

3.7 Noise Power Spectrum

UNIT IV FINITE WORDLENGTH EFFECTS

4.1 Fixed point and floating point number representations

4.2 ADC

4.3 Quantization

4.4 Truncation and Rounding errors

4.5 Quantization noise

4.6 Coefficient quantization error

4.7 Product quantization error

4.8 Overflow error

4.9 Round off noise power

4.10 limit cycle oscillations due to product round off and overflow errors

4.11 Principle of scaling

UNIT V DSP APPLICATIONS

5.1 Multirate signal processing

5.2 Decimation

5.3 Interpolation

5.4 Sampling rate conversion by a rational factor

5.5 Adaptive Filters, Introduction and Applications of adaptive filtering to equalization.

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