Unit - I Introduction (Chapter - 1) Need and advantages of digital signal processing; Classification of systems : Continuous, Discrete, Linear, Causal, Stable, Dynamic, Recursive, Time variance; Classification of Continuous and discrete, Energy and power ; Signal representation by singularities; Typical signal processing Convolution, Correlation and transformation; Typical DSP ADC/DAC - Sampling, Quantization, Quantization error, Nyquist rate, Aliasing effect. Unit - II Discrete Time System Analysis (Chapter - 2) Z-transform and its properties, Inverse z-transforms; Difference equation - Solution by Z-transform, Application to discrete systems - Stability analysis, Frequency response - Fourier transform of discrete sequence - Discrete fourier series - Convolution using Z-transform and Fourier transform. Unit - III Discrete Transforms (Chapter - 3) DFT - Definition - Properties, Computation of DFT using FFT algorithm - DIT & DIF - FFT using radix 2 - Butterfly structure; Computation of IDFT using DFT. Wavelet MRA by the Wavelet method. Unit - IV Design of Digital Filters (Chapter - 4) IIR Approximation of analog filter design - Butterworth and Chebyshev; Digital design using impulse invariant and bilinear transformation - Warping, Prewarping - Frequency transformation. FIR Windowing techniques - Need and choice of windows - Linear phase characteristics. FIR & IIR filter realization - Parallel & cascade forms. Unit - V DSP Hardware (Chapter - 5) Architecture for signal processing - Van Neumann and Harvard architecture; Architecture and features of TMS 320C54 signal processing chip.