Learn · Real-Time Digital Signal Processing
Lecture 10 of 56Week 2 FIR Filters, pipelining and parallelism for low power applications,, sine generation using hardware
Pipelining and Parallel Processing for Low Power Applications II
Prof. Rathna G N · IISc Bangalore
Credits and licence
- From
- Real-Time Digital Signal Processing, IISc Bangalore (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Introduction
- Basics of Signal Processing
- Lab - CCS
- Number System
- Architecture 1
- Architecture 2
- Real-time Constraints
- FIR - Filters
- Pipelining and Parallel Processing for Low Power Applications
- Pipelining and Parallel Processing for Low Power Applications II
- Lab: Sine Generation
- IIR Filters - 1
- IIR Filters - 2
- IIR Filters - 3
- Lab: FIR and IIR Filter in MATLAB using GUI
- Lab: IIR Filter as Resonator
- Lab: Real-Time Audio Output through Sine Generation
- IIR Filters 4
- Lab: FIR Filter in generation of music
- Lab: Real-Time Audio Output through FIR Filter
- Discrete Fourier Transform
- Complexity of Filtering and the FFT
- Lab: Filtering Using FFT
- Lab: FFT in CCS
- FFT - 1
- FFT - 2
- FFT - 3
- Overlap - Add
- Overlap Save Method
- Lab: Overlap Add and Save Method using MATLAB
- Correlation
- Lab: Different ways of implementing FFT in CCS
- Adaptive Filter
- LMS Algorith in MATLAB
- LMS Algorithm
- Error surface and error contour
- Adaptive Filter Applications
- Application of adaptive filter in MATLAB
- Adaptive Echo Cancellation
- Application of adaptive filter in CCS, Echo, scrambling and graphic equilizer in MATLAB
- Graphic Equalizer
- Adaptive filters (MATLAB)
- Speech Coding I
- Speech Coding II
- Speech Coding III
- LPC for speech synthesis
- Discrete Cosine Transform-1
- Discrete Cosine Transform-2
- Discrete Cosine Transform-3
- Discrete Cosine Transform-4
- Lab: Adaptive filters (CCS)
- Lab: Adaptive filters (CCS) 2
- Lab: Discrete Cosine Transformation
- Lab: Echogeneration
- Lab: Using JiDSP
- Summary