# Principles of Digital Signal Processing

 Course Code : EC6502 Author : uLektz University : Anna University, Tamil Nadu Regulation : 2013 Categories : Electronics & Communication Format : ePUB3 (DRM Protected) Type : eBook

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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

4.3 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