Real-Time Digital Signal Processing

Created By
Prof. Rathna G N via Swayam
  • 0
  • 12 weeks long
  • Swayam
  • English
Real-Time Digital Signal Processing

Course Overview

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

Course Circullum

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.
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This Course Include:
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.
  • Provider:Swayam
  • Certificate:Paid Certificate Available
  • Language:English
  • Duration:12 weeks long
  • Language CC:

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