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UG syllabus R-2017

EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING Regulation 2017 Anna University

EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING

EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING Regulation 2017 Anna University free download. DISCRETE TIME SIGNAL PROCESSING Syllabus EC8553 pdf free download.

UNIT I DISCRETE FOURIER TRANSFORM EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING

Review of signals and systems, concept of frequency in discrete-time signals, summary of analysis & synthesis equations for FT & DTFT, frequency domain sampling, Discrete Fourier transform (DFT) – deriving DFT from DTFT, properties of DFT – periodicity, symmetry, circular convolution. Linear filtering using DFT. Filtering long data sequences – overlap save and overlap add method. Fast computation of DFT – Radix-2 Decimation-in-time (DIT) Fast Fourier transform (FFT), Decimation-in-frequency (DIF) Fast Fourier transform (FFT). Linear filtering using FFT.

UNIT II INFINITE IMPULSE RESPONSE FILTERS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING

Characteristics of practical frequency selective filters. characteristics of commonly used analog filters – Butterworth filters, Chebyshev filters. Design of IIR filters from analog filters (LPF, HPF, BPF, BRF) – Approximation of derivatives, Impulse invariance method, Bilinear transformation. Frequency transformation in the analog domain. Structure of IIR filter – direct form I, direct form II, Cascade, parallel realizations.

UNIT III FINITE IMPULSE RESPONSE FILTERS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING

Design of FIR filters – symmetric and Anti-symmetric FIR filters – design of linear phase FIR filters using Fourier series method – FIR filter design using windows (Rectangular, Hamming and Hanning window), Frequency sampling method. FIR filter structures – linear phase structure, direct form realizations

UNIT IV FINITE WORD LENGTH EFFECTS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING

Fixed point and floating point number representation – ADC – quantization – truncation and rounding – quantization noise – input / output quantization – coefficient quantization error – product quantization error – overflow error – limit cycle oscillations due to product quantization and
summation – scaling to prevent overflow.

UNIT V INTRODUCTION TO DIGITAL SIGNAL PROCESSORS EC8553 Syllabus DISCRETE TIME SIGNAL PROCESSING

DSP functionalities – circular buffering – DSP architecture – Fixed and Floating point architecture principles – Programming – Application examples.

Subject name DISCRETE TIME SIGNAL PROCESSING
Short Name DTSP
Semester 5
Subject Code EC8553
Regulation 2017 regulation

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EC8553 Discrete Time Signal Processing Notes


EC8553 Discrete Time Signal Processing Important Questions


EC8553 Discrete Time Signal Processing Question Bank


EC8553 DISCRETE TIME SIGNAL PROCESSING Question Paper

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