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Course11710372524 lectures

Signal Processing Algorithms and Architectures

Prof. Anirban Dasgupta · IIT Guwahati

Start with lecture 1 At NPTEL

About

This course explores the fundamental and advanced concepts of signal processing, including time-domain and frequency-domain techniques, time-frequency analysis, and architectural implementations. The course is designed to provide a comprehensive understanding of real-time signal processing systems, with practical insights into algorithm design and hardware architectures. It is aimed at undergraduate, postgraduate, and PhD students, and is highly relevant for those pursuing careers in telecommunications, electronics, and machine learning.

Intended audience: BTech 4th year in electrical sciences, MTech in signal processing, communication, instrumentation, PhD in signal processing and machine learning

Prerequisites: Signals and SystemsEmbedded Systems

Lectures

Week 1: Time-domain Signal Processing

  1. Introduction to Time-Domain Signal Processing YouTube
  2. Correlation and Convolution YouTube
  3. Zero-crossing Detection YouTube
  4. Peak Detection YouTube
  5. Envelope Detection and Smoothing YouTube
  6. Pattern Matching YouTube

Week 2 : Frequency-Domain Signal Processing

  1. Introduction to Frequency-Domain Signal Processing YouTube
  2. Fourier Analysis YouTube
  3. Fast Fourier Transforms YouTube
  4. Applications of FFT YouTube
  5. Z-transform YouTube
  6. Coherence Analysis YouTube

Week 3: Time-Frequency-domain Signal Processing

  1. Introduction to Time-Frequency Analysis YouTube
  2. Multirate Signal Processing - I YouTube
  3. Multirate Signal Processing - II YouTube
  4. Short-Time Fourier Transform (STFT) YouTube
  5. Wavelet Transform - I YouTube
  6. Wavelet Transform - II YouTube

Week 4: Signal Processing Architectures

  1. Introduction to Signal Processing Architectures YouTube
  2. Signal Processor Components YouTube
  3. Interfacing, Pipelining and Parallelism YouTube
  4. Filter Structures - I YouTube
  5. Filter Structures - II YouTube
  6. Filter Design YouTube

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Guwahati
Department
Electrical Engineering
Teacher
Prof. Anirban Dasgupta
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
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