EE6403 Syllabus Discrete Time Systems and Signal Processing
EE6403 Syllabus Discrete Time Systems and Signal Processing Regulation 2013 Anna University
UNIT I INTRODUCTION EE6403 Syllabus
Classification of systems: Continuous, discrete, linear, causal, stable, dynamic, recursive, time variance; classification of signals: continuous and discrete, energy and power; mathematical representation of signals; spectral density; sampling techniques, quantization, quantization error, Nyquist rate, aliasing effect.
UNIT II DISCRETE TIME SYSTEM ANALYSIS Discrete Time Systems and Signal Processing Syllabus
Z-transform and its properties, inverse z-transforms; difference equation – Solution by ztransform, application to discrete systems – Stability analysis, frequency response – Convolution – Discrete TimeFourier transform , magnitude and phase representation.
UNIT III DISCRETE FOURIER TRANSFORM & COMPUTATION EE6403 Syllabus
Discrete Fourier Transform- properties, magnitude and phase representation – Computation of DFT using FFT algorithm – DIT &DIF using radix 2 FFT – Butterfly structure.
UNIT IV DESIGN OF DIGITAL FILTERS Discrete Time Systems and Signal Processing Syllabus
FIR & IIR filter realization – Parallel & cascade forms. FIR design: Windowing Techniques – Need and choice of windows – Linear phase characteristics. Analog filter design – Butterworth and Chebyshev approximations; IIR Filters, digital design using impulse invariant and bilinear transformation – mWarping, pre warping.
UNIT V DIGITAL SIGNAL PROCESSORS Discrete Time Systems and Signal Processing Syllabus
Introduction – Architecture – Features – Addressing Formats – Functional modes – Introduction to Commercial DSProcessors.
|Subject Name||Discrete Time Systems and Signal Processing|
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