VL-7101

VL-7101 [Digital Signal Processing-II]

1. Discrete time signals and systems: Convolution and frequency response.  Discrete time Fourier and Z-transforms: Properties, analysis of discrete time systems.  
2. The DFT; Definition and properties, circular convolution calculation, FFT and chirp transform. Relationship between continuous and discrete time systems; sampling time and frequency normalization, discrete time processing of continuous time signals.  Difference equation for digital filters: definition and properties.  
3. FIR filters, IIR filters. Digital filter design techniques: Impulse invariance, Bilinear transformation, finite difference, window design methods, frequency sampling optimization algorithms.  
4. Parametric signal modeling: Auto regressive signal modeling based on linear prediction, pole zero modeling.  Time varying auto regressive models, Parametric signal modeling in the presence of noise.  
5. Applications, spectral analysis, Power spectral analysis using DFT, maximum entropy spectral estimation (MEM) adaptive signal processing: time adaptive systems.  
6. LMS algorithm, 2 D signal processing: filter design and implementation. 2 D spectral factorization and analysis, Application of DSP: radar, sonar, biomed, communications, speech and image processing

Texts/References

1. Digital Signal Processing, Algorithms and Applications 3rd edition, Proakis and Manolakis,Prentice Hall of India, New Delhi, 1999. 
2. Emmanual C. Ifeachor et. Al., Digital Signal Processing : A Practical approach, Pearson Education, 2nd edition 
3. Digital Signal Processing, A Computer based Approach, 2nd edition, S.K.Mitra, Tata McGraw Hill, New Delhi, 2001. 
4. L.R. Rabiner and B.Gold, Theory and Application of Digital Signal Processing., PHI