ABOUT THE COURSE:The course helps in understanding of theory, design, applications, and implementations using hands-on experiments for the effective learning of real-time DSP technologies.PRE-REQUISITES: BE/B.Tech/MSc with basic knowledge of signal processingINTENDED AUDIENCE: Engineering Students/TeachersINDUSTRY SUPPORT:TI
Overview
Syllabus
Week 1: Introduction to Real-Time Signal Processing, Analog Interface, DSP hardware, DSP System Design, Experiments and program examples.
Week 2:signal concepts, Introduction to random variables, Fixed point and Quantization effects, overflow and solutions, experiments and program examples.
Week 3:Design and Implementation of FIR filters
Week 4:Design and Implementation of IIR filters and structures: cascaded for implementation in hardware and quantization effects.
Week 5:Frequency analysis and DFT with practical applications of FFT, Spectrum Analysis, and implementation in filters, quantization effects.
Week 6:Cross correlation, autocorrelation and implementation
Week 7:Introduction to Random Process, LMS algorithm and implementation consideration and practical applications applications.
Week 8:Digital Signal generation and program examples
Week 9:Implementation of Echo, reverberation, Graphic equalizer.
Week 10:Implementation of Echo, reverberation, Graphic equalizer.
Week 11:Introduction to Digital Image processing, fast DCT implementation in hardware.
Week 12:Introduction to Digital Image processing, fast DCT implementation in hardware.
Taught by
Prof. Rathna G N
