Digital Signal Processing - System Design and Implementation

The course is intended to first provide some exposure to the topics listed below, in the theory component. Concurrently, in the laboratory component, actual practice and realization of the concepts studied, would be emphasized. The laboratory component is intended to be a significant and important part of this course. In fact, the theory component is mainly planned to support and strengthen the laboratory experience. 1. An introduction to Digital Signal Processors and the associated interface hardware and software systems. 2. Basic exercises in programming Digital Signal Processors. 3. The Joint systems algorithms architectures perspective as a holistic approach in Signal Processing applications. 4. Comparative studies between general purpose microprocessors/ computing devices and specialized application specific integrated circuits (ASICs) and digital signal processors. 5. Study and implementation of Analog to Digital Conversion, sampling and reconstruction. 6. Study and implementation of simple Discrete Time Systems. 7. Study and implementation of Finite Impulse Response Filters. 8. Study and implementation of Infinite Impulse Response Filters. 9. Fast Fourier Transforms and Spectral Estimation Algorithms, Implementation. 10. Realization and implementation of computationally efficient Digital Signal Processing structures like the lattice structure, ladder structure. 11. Digital Signal Processing application areas in wireless and mobile communication, multimedia technology and communication, control systems, power electronics and power systems, measurement and instrumentation. 12. Architectures and algorithms in vogue, pertaining to these application areas general principles and case studies. 13. A comprehensive design and development effort pertaining to the study and implementation of one or two such advanced applications on an available Digital Signal Processor platform.