Compressed Sensing for Images with Chirps and Reed-Muller Codes

Latha, K Bhargavi and Detroja, Ketan P (2019) Compressed Sensing for Images with Chirps and Reed-Muller Codes. Masters thesis, Indian institute of technology Hyderabad.

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Compressed sensing is nothing but a signal processing technique which compresses the signal and reconstructs the signal. It is a new technique to receive signals that are sparse with a less number of measurements. This report describes the usage of deterministic sensing matrices which are obtained from chirps and Reed-Muller codes in compressed sensing. With the help of these chirps and ReedMuller codes, the signal is reconstructed whose sparsity is less than the original work. In the field of imaging, this approach is applicable. The algorithm used for reconstructing the images will involve new elements to improve the difficulty in calculation and the accuracy with which signal is reconstructed.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Chirps, Reed-muller codes, Fast Fourier transform, Fast wash-hadamard transform
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 04 Jul 2019 05:03
Last Modified: 04 Jul 2019 05:03
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