Introduction: Introduction of signals, systems and signal processing, discrete time systems, Discrete Time Fourier Transform, Z Transform.
Discrete Random Signals: Discrete Time random process, Average spectrum representation of infinite energy signals, response of linear system to random signals.
Power Spectrum Estimation:
Basic principles of spectrum estimation, estimates of the auto covariance, power spectrum, cross covariance and cross spectrum.
Discrete Fourier Transform: Discrete Fourier series, Discrete Fourier Transform (DFT), properties of DFT, linear convolution using the DFT, two dimensional DFT, FFT algorithms, Radix-2 , Radix-4 and split – Radix calculation.
Digital Filter Design Techniques: design of IIR and FIR digital filters , computer aided design of IIR and FIR, design of digital filter based on least square method , comparison of IIR and FIR design of digital filter based on least square method , comparison of IIR and FIR digital filters.
Linear Predictors And Optimum Linear Filters: Relationship between filter parameter and auto correlation sequence, forward and backward linear prediction.
Multi Rate Digital Signal Processing: decimation by a factor D , interpolation by factor I, sampling rate conversion by a rational factor I/D , filter design and implementation for sampling rate conversion.
- Unit 1
- Unit 2
- Unit 3
- Unit 4
- Unit 5
Discrete time signal processing by Oppenheim Schafer.
Digital signal processing by S.K.Mitra.
Digital signal processing by J. G. Proakis