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Research Article

Designing sparse sensing matrix for compressive sensing to reconstruct high resolution medical images

Vibha TiwariMedi-Caps Institute of Technology and Management, Indore, Madhya Pradesh, India.Correspondence[email protected]
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P.P. BansodSchool of Electronics, Devi Ahilya University, Khandawa Road, Indore, Madhya Pradesh, India.View further author information

Abhay KumarBiomedical Engineering Department, S.G.S.I.T.S, Indore, Madhya Pradesh, India.View further author information

Zhongmin JinXian Jiao Tong University, China.;Leeds University, UK.View further author information

(Reviewing Editor)

Article: 1017244 | Received 09 Nov 2014, Accepted 26 Jan 2015, Published online: 16 Mar 2015

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https://doi.org/10.1080/23311916.2015.1017244
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R Nidhya, Manish Kumar, Achyut Shankar, Shuchi Mala, Sanjeev Thakur & Xiaochun Cheng. (2022) Remodeled chaotic compressive sensing scheme for secure and energy-efficient data forwarding in body-to-body network. Computers & Electrical Engineering 97, pages 107633.
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Sujit Das & Jyotsna Kumar Mandal. 2022. Proceedings of International Conference on Advanced Computing Applications. Proceedings of International Conference on Advanced Computing Applications 629 637 .

Chenglong Yuan, Qiurong Yan, Yiqiang Wu, Yifan Wang & Yuhao Wang. (2020) Single Photon Compressive Imaging Based on Digital Grayscale Modulation Method. Photonic Sensors 11:3, pages 350-361.
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Ziran Wei, Jianlin Zhang, Zhiyong Xu, Yong Liu & Krzysztof Okarma. (2020) Measurement Matrix Optimization via Mutual Coherence Minimization for Compressively Sensed Signals Reconstruction. Mathematical Problems in Engineering 2020, pages 1-18.
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S. Majumder, S. Gupta & S. Dubey. (2020) Spectral imaging using compressive sensing‐based single‐pixel modality. Electronics Letters 56:19, pages 1013-1016.
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Fatima Salahdine, Elias Ghribi & Naima Kaabouch. (2020) Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. Metrics for Evaluating the Efficiency of Compressing Sensing Techniques.

Hui Wang, Qiurong Yan, Bing Li, Chenglong Yuan & Yuhao Wang. (2019) Measurement Matrix Construction for Large-area Single Photon Compressive Imaging. Sensors 19:3, pages 474.
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Youness Arjoune, Naima Kaabouch, Hassan El Ghazi & Ahmed Tamtaoui. (2018) A performance comparison of measurement matrices in compressive sensing. International Journal of Communication Systems 31:10, pages e3576.
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Rasha Shoitan, Zaki Nossair, I. I. Ibrahim & Ahmed Tobal. (2018) Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinson matrix. Frontiers of Information Technology & Electronic Engineering 19:4, pages 503-512.
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Vibha Tiwari, Prashant P. Bansod & Abhay Kumar. 2018. Proceedings of International Conference on Recent Advancement on Computer and Communication. Proceedings of International Conference on Recent Advancement on Computer and Communication 205 212 .

Jinming Wang, Shiping Ye, Yue Ruan & Chaoxiang Chen. (2017) Low storage space for compressive sensing: semi-tensor product approach. EURASIP Journal on Image and Video Processing 2017:1.
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Rasha Shoitan, Zaki Nossair, Ibrahim Isamil & Ahmed Tobal. (2016) Hybrid wavelet measurement matrices for improving compressive imaging. Signal, Image and Video Processing 11:1, pages 65-72.
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Vibha Tiwari, Prashant P. Bansod & Abhay Kumar. (2016) Analysis of US multi-frame video streaming over LTE network. Analysis of US multi-frame video streaming over LTE network.

Fatima Salahdine, Naima Kaabouch & Hassan El Ghazi. (2016) A survey on compressive sensing techniques for cognitive radio networks. Physical Communication 20, pages 61-73.
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G.Arul ElangoGnanou Florence Sudha. (2016) Weak GPS Acquisition Via Compressed Differential Detection Using Structured Measurement Matrix. International Journal on Smart Sensing and Intelligent Systems 9:4, pages 1877-1899.
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Vibha Tiwari, P.P. Bansod & Abhay Kumar. (2015) Medical imaging in heterogeneous telemedicine network. Medical imaging in heterogeneous telemedicine network.

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Designing sparse sensing matrix for compressive sensing to reconstruct high resolution medical images

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Designing sparse sensing matrix for compressive sensing to reconstruct high resolution medical images

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