Digital Signal Processing

Catalog description

This course explores discrete signal processing including concepts of digital signal processing. Primary application domain targeted is speech signals although other signal types will also be considered, including vibration signals, music signals etc. We will cover core concepts of signal processing including classification of discrete-time systems, convolution and its application to LTI systems and analysis of LTI systems via the Z transform, Fourier transform, and Fourier series, Discrete Time Fourier Series and Transform, Discrete Fourier Transform and Fast Fourier Transform. This course will also explore applications like Filter Design and Systems Analysis. Software simulations will emphasize the applied components of the course using MATLAB / SIMULINK programming and perform project on Speech Processing. Students will also be participating in written and oral presentation.