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EC8009 COMPRESSIVE SENSING Lecture Notes Download
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Department | Electronics Communication Engineering |
Year | 4th Year |
Semester | 8th Semester |
University | Anna University |
Regulation | R2017 |
Subject Code | EC8009 |
Subject Name | COMPRESSIVE SENSING |
Download File | EC8009 COMPRESSIVE SENSING Lecture Notes, Books, Important 2 Marks Question and Answers, 16 Mark Question with Answers, Syllabus & Question Bank |
EC8009 COMPRESSIVE SENSING Syllabus
UNIT I INTRODUCTION TO COMPRESSED SENSING
Introduction; Motivation; Mathematical Background; Traditional Sampling; Traditional Compression; Conventional Data Acquisition System; Drawbacks of Transform coding; Compressed Sensing (CS).
UNIT II SPARSITY AND SIGNAL RECOVERY
Signal Representation; Basis vectors; Sensing matrices; Restricted Isometric Property; Coherence; Stable recovery; Number of measurements.
UNIT III RECOVERY ALGORITHMS
Basis Pursuit algorithm: L1 minimization; Matching pursuit: Orthogonal Matching Pursuit(OMP), Stagewise OMP, Regularized OMP, Compressive Sampling Matching Pursuit (CoSaMP); Iterative Thresholding algorithm: Hard thresholding, Soft thresholding; Model based : Model based CoSaMP, Model based HIT.
UNIT IV COMPRESSIVE SENSING FOR WSN
Basics of WSN; Wireless Sensor without Compressive Sensing; Wireless Sensor with Compressive Sensing; Compressive Wireless Sensing: Spatial compression in WSNs, Projections in WSNs, Compressed Sensing in WSNs.
UNIT V APPLICATIONS OF COMPRESSIVE SENSING
Compressed Sensing for Real-Time Energy-Efficient Compression on Wireless Body Sensor Nodes; Compressive sensing in video surveillance; An Application of Compressive Sensing for Image Fusion; Single-Pixel Imaging via Compressive Sampling.
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EC8009 COMPRESSIVE SENSING Notes ( UNIT 1 – UNIT 5) – Download
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