Course Contents

Review of Signals & Systems: Discrete LTI systems, Convolution, Difference Equations. ztransforms, Sampling of Continuous Time Signals: Basic principles, Changing sampling rate, Prefiltering to avoid aliasing, Quantization errors. Transform Analysis of LTI Systems Frequency response of LTI systems, All pass systems, Minimum phase systems. IIR & FIR Filters and Filter Design Techniques,Discrete Time Fourier Transform (DFT) and FFT Algorithms, Fourier Analysis of Real Signals with DFT

Course Synopsis

On successful completion of this course students will be able to: 1 Apply sampling theorem and estimate the aliasing and quantization in the signals. 2 Apply techniques in time and transform domains to the analysis, algorithm and design of discrete-time systems; 3 Design FIR and IIR filters after understanding the concept of analog filter design and converting the H(s) in H(z).

Course Learning Outcomes

1. UNDERSTAND the sampling theorem and perform sampling on continuous-time signals. 2. ANALYSE and EVALUATE the properties of LTI systems in terms of its transforms (Z and Fourier) 3. EVALUATE problems related to frequency selective processing and design FIR/IIR filters