DIGITAL SIGNAL AND PROCESSING

Generation and Representation of Discrete Time signals, Classification of signals – Discrete Time (DT)
signals, Deterministic & Random signals, Periodic & Aperiodic signals, Energy & Power signals, Odd &
Even. Classification of systems - DT systems, Static & Dynamic, Causal & Non-causal, Linear & Nonlinear,
Time-variant & Time-invariant, Stable & Unstable. Sampling of continuous Time signals and Aliasing
Effect.
Module 2: DISCRETE FOURIER TRANSFORM AND FAST FOURIER
TRANSFORM 15 Hrs
Discrete Fourier Transform (DFT) - Definition. Magnitude and Phase Spectrum of the Discrete Signal-4
Point DFT of Discrete Sequence, 8 Point DFT of discrete Sequence, Circular convolution of two sequence
using DFT, DFT properties, Fast Fourier Transform (FFT) - Advantages. Decimation in Time, Decimation in
Frequency algorithms using radix 2.
Module 3: FIR FILTERS, IIR FILTERS AND DIGITAL SIGNAL PROCESSORS 15 Hrs
Finite Impulse Response (FIR) filters, Frequency, Amplitude and Phase responses of Linear phase FIR
filters, Design of FIR filters, Windowing technique - Rectangular windows. Infinite Impulse Response (IIR)
filters - Butterworth Filter - Impulse Invariant Transformation - Bilinear Transformation. Architecture of
TMS320C64xx processor.