Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain

Pokala, Praveen Kumar; Chemudupati, Satvik; Seelamantula, Chandra Sekhar

doi:10.1109/icip40778.2020.9190686

2020 IEEE International Conference on Image Processing (ICIP) 2020

DOI: 10.1109/icip40778.2020.9190686

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Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain

Praveen Kumar Pokala

Satvik Chemudupati

Chandra Sekhar Seelamantula

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2023

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Analysis of Sparse Signal Sequences under Compressive Sampling Techniques for Different Measurement Matrices

Devendrappa¹,

Karthik²,

Ananth³

2023

EEENG

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INTRODUCTION: A more modern, extremely applicable method for signal acquisition is compression sensing. It permits effective data sampling at a rate that is significantly lower than what the Nyquist theorem suggests. Compressive sensing has a number of benefits, including a much-reduced demand for sensory devices, a smaller memory storage need, a greater data transfer rate, and significantly lower power usage. Compressive sensing has been employed in a variety of applications because of all these benefits. Neuro-signal acquisition is a domain in which compressive sensing has applications in the medical industry METHODS: The novel methods discussed in this article are FFT-based CoSaMP (FFTCoSaMP), DCT-based CoSaMP(DCTCoSaMP) and DWT-based CoSaMP (DWTCoSaMP) based on sparse signal sequences / dictionaries by means of Transform Techniques, where CoSaMP stands for Compressive Sampling Matching Pursuit with respect to Objective Quality Assessment Algorithms like PSNR, SSIM and RMSE, where CoSaMP stands for Compressive Sampling Matching Pursuit. RESULT: DWTCoSaMP is giving the PSNR values of 40.26 db for DCTCoSaMP and FFTCoSaMP, it is 36.76 db and 34.76 db. For DWTCoSaMP, SSIM value is 0.8164, and for DCTCoSaMP and FTCoSaMP, it is 0.719 and 0.5625 respectively. CONCLUSION: Finally, for DWTCoSaMP, RMSE value is 0.442, and for DCTCoSaMP and FFTCoSaMP, it is 0.44 and 0.4425, respectively. Among Compressed sampling techniques DWTCoSaMP, DCTCoSaMP and FFTCoSaMP discussed in this paper, DWTCoSaMP reveals the best results.

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Analysis of Sparse Signal Sequences under Compressive Sampling Techniques for Different Measurement Matrices

Devendrappa¹,

Karthik²,

Ananth³

2023

EEENG

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Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for Sparse Coding Under Tight Frames in the Complex-Domain

Cited by 1 publication

References 25 publications

Analysis of Sparse Signal Sequences under Compressive Sampling Techniques for Different Measurement Matrices

Analysis of Sparse Signal Sequences under Compressive Sampling Techniques for Different Measurement Matrices

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