EC6502 Principles of Digital Signal Processing 

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Subject Informations : 

University        :  Anna University
Department     :  B.E. ELECTRONICS AND COMMUNICATION ENGINEERING
Semester          :  05 th sem
Year                  :  03 th year
Regulation       :  R2013
Subject Code   :  EC6502
Subject Name  :  Principles of Digital Signal Processing

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EC6502 Principles of Digital Signal Processing | Important  Questions
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EC6502 PRINCIPLES OF DIGITAL SIGNAL PROCESSING – SYLLABUS – R- 2013 

OBJECTIVES:

 To learn discrete Fourier transform and its properties
 To know the characteristics of IIR and FIR filters learn the design of infinite and finite impulse
response filters for filtering undesired signals
 To understand Finite word length effects
 To study the concept of Multirate and adaptive filters

UNIT I DISCRETE FOURIER TRANSFORM 

Discrete Signals and Systems- A Review – Introduction to DFT – Properties of DFT – Circular
Convolution – Filtering methods based on DFT – FFT Algorithms –Decimation in time Algorithms,
Decimation in frequency Algorithms – Use of FFT in Linear Filtering.

UNIT II IIR FILTER DESIGN 

Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.

UNIT III FIR FILTER DESIGN 

Structures of FIR – Linear phase FIR filter – Fourier Series – Filter design using windowing techniques (Rectangular Window, Hamming Window, Hanning Window), Frequency sampling techniques – Finite word length effects in digital Filters: Errors, Limit Cycle, Noise Power Spectrum.

UNIT IV FINITE WORDLENGTH EFFECTS 

Fixed point and floating point number representations – ADC –Quantization- Truncation and Rounding errors – Quantization noise – coefficient quantization error – Product quantization error – Overflow error – Roundoff noise power – limit cycle oscillations due to product round off and overflow errors – Principle of scaling

UNIT V DSP APPLICATIONS 

Multirate signal processing: Decimation, Interpolation, Sampling rate conversion by a rational factor – Adaptive Filters: Introduction, Applications of adaptive filtering to equalization.

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