7EE6.3 DIGITAL SIGNAL PROCESSING
 

1. INTRODUCTION TO DIGITAL SIGNALS: Sampled data and digital signals, sampling theorem, data reconstruction, zero and first order hold, Z and inverse Z transform, relation between Z, Laplace and fourier transforms. Discrete fourier transform, fast fourier transform. stability, realization and frequency response.

2. FILTERS: Analog filters and transformations, IIR and FIR digital filters, bilinear transformation, impulse and step variance, Fourier series and window functions.

3. APPLICATIONS: Signal recovery in wideband and narrow band noise, signal averaging and detection.

4. INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS: Definition, architecture, input, hidden and output layers, weights and biases, learning mechanisms, training, comparison in different models, applications.

5. FUZZY: logic and fuzzy set theory, crisp and fuzzy classifiers, rule base designs and applications.

RECOMMENDED BOOKS:

1. L R Rabiner and B Gold:Theory and application of digital signal processing, PHI

2. A V Oppenheim and R W Schafer:Digital signal processing,prentice Hall of India,1991.

3. A Papoulis:Signal Analysis, McGraw-Hill International.