# EC6502 Principles of Digital Signal Processing | Important Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF

## EC6502 Principles of Digital Signal Processing

EC6502 Principles of Digital Signal Processing | Important  Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF Exammain.com Important Questions is available for download in this page for EC6502 Principles of Digital Signal Processing. Students can download the Important Questions in the PDF format or in Word format. Questions Bank and Previous year question papers also be available in this page  . Important Questions provided here are the Expected questions that are possible to be appeared in the upcoming exams. you can make use of the below questions and prepare for your exams. EC6502 Principles of Digital Signal Processing Important Questions . Download the Important Questions using the below link.

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

### 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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