M.E. Electronics(Instrumentation Control):Digital Signal and Image Processing

First Semester

Measurement Science
Process Modeling and Control
Industrial Instrumentation and Control
Research Methodology
Artificial Intelligence Control Techniques


Second Semester

PC/Micro-controller based instrumentation
Virtual Instrumentation and its engineering applications
Trends in Bio-Medical Instrumentation


Third Semester

Seminar
Thesis ( starts )


Fourth Semester

Thesis


Digital Signal and Image Processing

Fast Fourier Transform: Efficient computation of DFT , FFT Algorithms, Direct computation of DFT, Radix 2 and Radix 4 algorithms, applications of FFT Algorithms, Linear filtering approach to computation of DFT, PDSF

Implementation of Discrete time systems: Structure of FIR systems, structures of IIR Systems, state space analysis and structures, representation of numbers, quantization of filter coefficients, round-off effects in digital filters

Design of digital filters: Design of FIR Filters, Ideal frequency domain filter models, Butterworth, Chebyshev, elliptic approximation, design of FIR Filters using windows Kaiser, Hamming, Hanning, rectangular and Bartlet, Design of digital filters based on least square method, discrete Hilbert transform

Multirate digital Signal Processing: Introduction, Decimation by factor D, Multistage implementation of sampling rate conversion, Sampling rate conversion of band pass filters

Optimum filters: Introduction, forward and backward linear predictions, AR Lattice and ARMA Lattice ladder filters, Wiener filters for filtering and prediction

Image Processing: Image enhancement techniques, image compression techniques, Filtering in space domain, color image processing