Course Details
Subject {L-T-P / C} : CS3376 : Digital Signal Processing Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : 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
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.
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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