EE60110: Advanced Digital Signal Processing

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EE60110
Course name ADVANCED DIGITAL SIGNAL PROCESSING
Offered by Electrical Engineering
Credits 4
L-T-P 3-1-0
Previous Year Grade Distribution
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Syllabus

Syllabus mentioned in ERP

(Digital Signal Processing (18615) is the prerequisite for the subject)Statistical Signal Processing: Method of least squares (LS). Recursive LS. Consistency of estimates. Observer, full and reduced order. Kalman filter. Parameter estimation. Nonparametric Estimation: Correlation and spectral analysis. Cepstrum.Yule-Walker equation. Singular Value Decomposition (SVD). Higher order statistics, triple correlation and bi-spectrum.Transform Method of Signal Processing: Haar, Hadamard and Walsh transform. Wavelet transformation, sub-band coding. Image analysis, compression. Adaptive Signal Processing: Voice band signal, signature analysis, speech identification. Voice models. Lattice structure. Echo cancellers. Equalizers. Multi-rate filters. QMF. Fuzzy Signals: Signal description. Network implementation. Neuro-fuzzy processing of signals.


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