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
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