Course Details
Subject {L-T-P / C} : CS3376 : Digital Signal Processing Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Prof. Ratnakar Dash
Syllabus
Representation of digital signal Waveform generation Convolution and Deconvolution Correlation, Cross Correlation Signal Transformation Filter Design Filter requirements and specification Zero-Pole Analysis Spectral Analysis Case studies in DSP
Course Objectives
- To Familiarize the students with Digital Signal Processing using software tools.
- To study the time domain and the frequency domain representation of signals.
- To Demonstrate that through digital filtering, the amount of noise in an audio signal can be reduced
Course Outcomes
The students will be able to <br />1. program digital signal processing algorithms in C and MATLAB, including the design, implementation, and real-time operation of digital filters, and applications of the fast Fourier transform. <br />2. program a DSP chip with a variety of real-time signal processing algorithms, such as filtering for noise reduction or digital audio effects.
Essential Reading
- S. Mitra, Digital Signal Processing: A Computer-based Approach, McGraw Hill , Third Edition, 2005
- Vinay Ingle, John Proakis, Digital Signal Processing Using MATLAB, , Third Edition
Supplementary Reading
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