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

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

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.

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