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NPTEL

Signal Processing Algorithms and Architectures

NPTEL via Swayam

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Overview

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ABOUT THE COURSE: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 learningPREREQUISITES: Signals and SystemsEmbedded SystemsINDUSTRY SUPPORT: QualcommEricssonIntelTexas Instruments

Syllabus

Week 1: Time-Domain Signal Processing
• Correlation and Convolution• Zero-crossing Detection• Peak Detection• Envelope Detection• Pattern-matching
Week 2:Frequency-Domain Signal Processing
• Fourier Analysis• Frequency estimation• Power Spectral Density (PSD) Estimation• Z-transform• Coherence Analysis
Week 3:Time-Frequency Analysis
• Time-Frequency Representation• Short-Time Fourier Transform (STFT)• Wavelet Transform and Its Applications
Week 4:Signal Processing Architectures
• Introduction to Signal Processing Architectures• Real-Time Signal Processing• MAC and Barrel Shifters• Pipelining and Parallelism• DMA and sensor interfacing

Taught by

Prof. Anirban Dasgupta

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