An improved fast adaptive complex approximation message passing algorithm
To solve the problem of reconstructing complex sparse signals from linear measurements of additive white Gaussian noise (AWGN) under the condition of unknown sparse signal distribution, this paper proposes a fast adaptive complex approximate message passing (CAMP) algorithm with significantly reduce...
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| Vydáno v: | Digital signal processing Ročník 137; s. 104016 |
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| Jazyk: | angličtina |
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15.06.2023
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| ISSN: | 1051-2004, 1095-4333 |
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| Abstract | To solve the problem of reconstructing complex sparse signals from linear measurements of additive white Gaussian noise (AWGN) under the condition of unknown sparse signal distribution, this paper proposes a fast adaptive complex approximate message passing (CAMP) algorithm with significantly reduced mean square error and adaptive to parameter selection. First, we establish a complex sparse signal distribution model. Secondly, the unknown parameters of the distribution model are estimated in each iteration, and the estimated values are used as prior information to obtain the complex shrinkage function with minimum mean square error (MMSE). Finally, an improved fast adaptive CAMP algorithm is obtained by combining the updated shrinkage function with the CAMP. The algorithm has the advantages of fast convergence, low computational complexity, small mean square error, and good robustness. Theoretical analysis and simulation verify the effectiveness of the proposed algorithm.
•An improved fast adaptive complex approximate message passing algorithm is proposed.•Better reconstruction performance by improving shrinkage function.•An adaptive scheme is given by parameter estimation.•Algorithm performance is affected by the actual function distribution. |
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| AbstractList | To solve the problem of reconstructing complex sparse signals from linear measurements of additive white Gaussian noise (AWGN) under the condition of unknown sparse signal distribution, this paper proposes a fast adaptive complex approximate message passing (CAMP) algorithm with significantly reduced mean square error and adaptive to parameter selection. First, we establish a complex sparse signal distribution model. Secondly, the unknown parameters of the distribution model are estimated in each iteration, and the estimated values are used as prior information to obtain the complex shrinkage function with minimum mean square error (MMSE). Finally, an improved fast adaptive CAMP algorithm is obtained by combining the updated shrinkage function with the CAMP. The algorithm has the advantages of fast convergence, low computational complexity, small mean square error, and good robustness. Theoretical analysis and simulation verify the effectiveness of the proposed algorithm.
•An improved fast adaptive complex approximate message passing algorithm is proposed.•Better reconstruction performance by improving shrinkage function.•An adaptive scheme is given by parameter estimation.•Algorithm performance is affected by the actual function distribution. |
| ArticleNumber | 104016 |
| Author | Chen, Alei Lv, Mingjiu Chen, Zirui Chen, Wenfeng Ma, Xiaoyan Liu, Weijian |
| Author_xml | – sequence: 1 givenname: Zirui orcidid: 0000-0002-7827-3223 surname: Chen fullname: Chen, Zirui – sequence: 2 givenname: Alei surname: Chen fullname: Chen, Alei – sequence: 3 givenname: Weijian surname: Liu fullname: Liu, Weijian email: chenzirui0115@163.com – sequence: 4 givenname: Wenfeng surname: Chen fullname: Chen, Wenfeng – sequence: 5 givenname: Xiaoyan surname: Ma fullname: Ma, Xiaoyan – sequence: 6 givenname: Mingjiu surname: Lv fullname: Lv, Mingjiu |
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| Cites_doi | 10.1109/ACCESS.2022.3151398 10.1109/ACCESS.2018.2793851 10.1109/ACCESS.2018.2886471 10.1109/TSP.2015.2408569 10.1109/ACCESS.2021.3126472 10.1109/TIT.2010.2094817 10.1109/ACCESS.2015.2430359 10.1109/ACCESS.2022.3206016 10.1016/j.dsp.2015.12.005 10.1109/ACCESS.2022.3197594 10.1109/TSP.2009.2016892 10.1109/TIT.2013.2252232 10.1109/TSP.2011.2107908 10.1007/s00454-005-1220-0 10.1109/ACCESS.2020.2978237 10.1109/TSP.2008.2007606 10.1073/pnas.0909892106 10.1109/TSP.2013.2272287 10.1111/j.2517-6161.1996.tb02080.x 10.1109/TSP.2019.2912879 10.1021/ja01299a050 10.1016/j.dsp.2018.06.012 10.1109/TIT.2006.871582 10.1137/080716542 10.1109/TIT.2012.2197174 10.1109/TSP.2012.2225057 |
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| References | Sun, Tian, Tian (br0050) 2022; 10 Donoho (br0010) 2006; 52 Gribonval, Cehver, Davies (br0320) 2012; 58 Zayyani, Babaie-Zadeh, Jutten (br0250) 2009 Wright, Nowak, Figueiredo (br0300) 2009; 57 Bayati, Montanari (br0180) 2011; 57 Shafiei, Beheshti, Yazdian (br0070) 2018; 81 Ashraf, Gasser, El-Mahallawy (br0210) 2018 Donoho (br0290) 2006; 35 Guo, Davies (br0230) 2015; 63 Anitori, Maleki, Otten (br0200) 2013; 61 Stein (br0270) 1981 Lu, Ye (br0040) 2022; 10 Kim, Park (br0140) 2020; 8 Tibshirani (br0130) 1996; 58 Rani, Dhok, Deshmukh (br0020) 2018; 6 Rangan (br0160) 2011 Miran, Oktem, Koc (br0060) 2022; 9 Gribonval (br0260) 2011; 59 Xu, Zhang, Chen (br0330) 2022; 60 Ahmed, Khalil, Ahmed (br0090) 2022; 10 Zhang, Xu, Yang, Li, Zhang (br0100) 2015; 3 Ito, Takabe, Wadayama (br0120) 2019; 57 AlSaafin, Villena, Vega (br0080) 2016; 50 Donoho, Maleki, Montanari (br0150) 2009; 106 Mohimani, Babaie-Zadeh, Jutten (br0280) 2009; 57 Maleki, Anitori, Yang (br0190) 2013; 59 Marques, Maciel, Naviner (br0030) 2019; 7 Vila, Schniter (br0240) 2011; 61 Beck, Teboulle (br0310) 2009; 2 Donoho, Maleki, Montanari (br0220) 2010 Manchanda, Sharma (br0110) 2020 Onsager (br0170) 1936; 58 Mohimani (10.1016/j.dsp.2023.104016_br0280) 2009; 57 Wright (10.1016/j.dsp.2023.104016_br0300) 2009; 57 Rangan (10.1016/j.dsp.2023.104016_br0160) 2011 Zhang (10.1016/j.dsp.2023.104016_br0100) 2015; 3 Bayati (10.1016/j.dsp.2023.104016_br0180) 2011; 57 Kim (10.1016/j.dsp.2023.104016_br0140) 2020; 8 Ashraf (10.1016/j.dsp.2023.104016_br0210) 2018 Ito (10.1016/j.dsp.2023.104016_br0120) 2019; 57 Rani (10.1016/j.dsp.2023.104016_br0020) 2018; 6 Donoho (10.1016/j.dsp.2023.104016_br0010) 2006; 52 Gribonval (10.1016/j.dsp.2023.104016_br0260) 2011; 59 Donoho (10.1016/j.dsp.2023.104016_br0220) 2010 Lu (10.1016/j.dsp.2023.104016_br0040) 2022; 10 Miran (10.1016/j.dsp.2023.104016_br0060) 2022; 9 Anitori (10.1016/j.dsp.2023.104016_br0200) 2013; 61 Tibshirani (10.1016/j.dsp.2023.104016_br0130) 1996; 58 Maleki (10.1016/j.dsp.2023.104016_br0190) 2013; 59 Onsager (10.1016/j.dsp.2023.104016_br0170) 1936; 58 Donoho (10.1016/j.dsp.2023.104016_br0290) 2006; 35 Guo (10.1016/j.dsp.2023.104016_br0230) 2015; 63 Zayyani (10.1016/j.dsp.2023.104016_br0250) 2009 Shafiei (10.1016/j.dsp.2023.104016_br0070) 2018; 81 Sun (10.1016/j.dsp.2023.104016_br0050) 2022; 10 Vila (10.1016/j.dsp.2023.104016_br0240) 2011; 61 Ahmed (10.1016/j.dsp.2023.104016_br0090) 2022; 10 Stein (10.1016/j.dsp.2023.104016_br0270) 1981 Xu (10.1016/j.dsp.2023.104016_br0330) 2022; 60 Donoho (10.1016/j.dsp.2023.104016_br0150) 2009; 106 AlSaafin (10.1016/j.dsp.2023.104016_br0080) 2016; 50 Gribonval (10.1016/j.dsp.2023.104016_br0320) 2012; 58 Manchanda (10.1016/j.dsp.2023.104016_br0110) 2020 Beck (10.1016/j.dsp.2023.104016_br0310) 2009; 2 Marques (10.1016/j.dsp.2023.104016_br0030) 2019; 7 |
| References_xml | – volume: 59 start-page: 4290 year: 2013 end-page: 4308 ident: br0190 article-title: Asymptotic analysis of complex LASSO via complex approximate message passing (CAMP) publication-title: IEEE Trans. Inf. Theory – start-page: 1549 year: 2009 end-page: 1552 ident: br0250 article-title: Bayesian pursuit algorithm for sparse representation publication-title: Proc. Int. Conf. Acoust., Speech, Signal Process – start-page: 1 year: 2010 end-page: 5 ident: br0220 article-title: Message passing algorithms for compressed sensing: I. Motivation and construction publication-title: 2010 IEEE Information Theory Workshop on Information Theory – volume: 63 start-page: 2130 year: 2015 end-page: 2141 ident: br0230 article-title: Near optimal compressed sensing without priors: parametric SURE approximate message passing publication-title: IEEE Trans. Signal Process. – volume: 58 start-page: 1486 year: 1936 end-page: 1493 ident: br0170 article-title: Electric moments of molecules in liquids publication-title: J. Am. Chem. Soc. – volume: 8 start-page: 45874 year: 2020 end-page: 45886 ident: br0140 article-title: Element-wise adaptive thresholds for learned iterative shrinkage thresholding algorithms publication-title: IEEE Access – volume: 61 start-page: 813 year: 2013 end-page: 827 ident: br0200 article-title: Design and analysis of compressed sensing radar detectors publication-title: IEEE Trans. Signal Process. – volume: 6 start-page: 4875 year: 2018 end-page: 4894 ident: br0020 article-title: A systematic review of compressive sensing: concepts, implementations and applications publication-title: IEEE Access – volume: 61 start-page: 4658 year: 2011 end-page: 4672 ident: br0240 article-title: Expectation-maximization Gaussian-mixture approximate message passing publication-title: IEEE Trans. Signal Process. – volume: 2 start-page: 183 year: 2009 end-page: 202 ident: br0310 article-title: A fast iterative shrinkage-thresholding algorithm for linear inverse problems publication-title: SIAM J. Imaging Sci. – volume: 3 start-page: 490 year: 2015 end-page: 530 ident: br0100 article-title: A survey of sparse representation: algorithms and applications publication-title: IEEE Access – volume: 9 start-page: 151578 year: 2022 end-page: 151589 ident: br0060 article-title: Sparse reconstruction for near-field MIMO radar imaging using fast multipole method publication-title: IEEE Access – volume: 10 start-page: 85002 year: 2022 end-page: 85018 ident: br0090 article-title: Sparse signal representation, sampling, and recovery in compressive sensing frameworks publication-title: IEEE Access – volume: 57 start-page: 2479 year: 2009 end-page: 2493 ident: br0300 article-title: Sparse reconstruction by separable approximation publication-title: IEEE Trans. Signal Process. – year: 2020 ident: br0110 article-title: A review of reconstruction algorithms in compressive sensing publication-title: 2020 International Conference on Advances in Computing, Communication & Materials (ICACCM) – start-page: 1135 year: 1981 end-page: 1151 ident: br0270 article-title: Estimation of the mean of a multivariate normal distribution publication-title: Ann. Stat. – volume: 106 start-page: 18914 year: 2009 end-page: 18919 ident: br0150 article-title: Message-passing algorithms for compressed sensing publication-title: Proc. Natl. Acad. Sci. USA – year: 2018 ident: br0210 article-title: Performance enhancement of wide-band radar signals, using a new adaptive CAMP algorithm in compressive sensing publication-title: 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) – volume: 57 start-page: 3113 year: 2019 end-page: 3125 ident: br0120 article-title: Trainable ISTA for sparse signal recovery publication-title: IEEE Trans. Signal Process. – volume: 10 start-page: 98374 year: 2022 end-page: 98383 ident: br0040 article-title: Tree-structured dilated convolutional networks for image compressed sensing publication-title: IEEE Access – volume: 35 start-page: 617 year: 2006 end-page: 652 ident: br0290 article-title: High-dimensional centrally symmetric polytopes with neighborliness proportional to dimension publication-title: Discrete Comput. Geom. – volume: 52 start-page: 1289 year: 2006 end-page: 1306 ident: br0010 article-title: Compressed sensing publication-title: IEEE Trans. Inf. Theory – volume: 60 start-page: 1 year: 2022 end-page: 14 ident: br0330 article-title: Structured low-rank and sparse method for ISAR imaging with 2-D compressive sampling publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 59 start-page: 2405 year: 2011 end-page: 2410 ident: br0260 article-title: Should penalized least squares regression be interpreted as maximum a posteriori estimation? publication-title: IEEE Trans. Signal Process. – volume: 58 start-page: 267 year: 1996 end-page: 288 ident: br0130 article-title: Regression shrinkage and selection via the lasso publication-title: J. R. Stat. Soc. Ser. B – volume: 10 start-page: 18134 year: 2022 end-page: 18145 ident: br0050 article-title: Privacy-enhanced and verifiable compressed sensing reconstruction for medical image processing on the cloud publication-title: IEEE Access – volume: 81 start-page: 138 year: 2018 end-page: 154 ident: br0070 article-title: Distributed compressed sensing for despeckling of SAR images publication-title: Digit. Signal Process. – volume: 50 start-page: 180 year: 2016 end-page: 190 ident: br0080 article-title: Compressive sensing super resolution from multiple observations with application to passive millimeter wave images publication-title: Digit. Signal Process. – year: 2011 ident: br0160 article-title: Generalized approximate message passing for estimation with random linear mixing publication-title: 2011 IEEE International Symposium on Information Theory Proceedings – volume: 57 start-page: 289 year: 2009 end-page: 301 ident: br0280 article-title: A fast approach for overcomplete sparse decomposition based on smoothed norm publication-title: IEEE Trans. Signal Process. – volume: 58 start-page: 5016 year: 2012 end-page: 5034 ident: br0320 article-title: Compressible distributions for high dimensional statistics publication-title: IEEE Trans. Inf. Theory – volume: 7 start-page: 1300 year: 2019 end-page: 1322 ident: br0030 article-title: A review of sparse recovery algorithms publication-title: IEEE Access – volume: 57 start-page: 764 year: 2011 end-page: 785 ident: br0180 article-title: The dynamics of message passing on dense graphs, with applications to compressed sensing publication-title: IEEE Trans. Inf. Theory – volume: 10 start-page: 18134 year: 2022 ident: 10.1016/j.dsp.2023.104016_br0050 article-title: Privacy-enhanced and verifiable compressed sensing reconstruction for medical image processing on the cloud publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3151398 – volume: 6 start-page: 4875 year: 2018 ident: 10.1016/j.dsp.2023.104016_br0020 article-title: A systematic review of compressive sensing: concepts, implementations and applications publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2793851 – volume: 7 start-page: 1300 year: 2019 ident: 10.1016/j.dsp.2023.104016_br0030 article-title: A review of sparse recovery algorithms publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2886471 – volume: 63 start-page: 2130 issue: 8 year: 2015 ident: 10.1016/j.dsp.2023.104016_br0230 article-title: Near optimal compressed sensing without priors: parametric SURE approximate message passing publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2015.2408569 – volume: 9 start-page: 151578 year: 2022 ident: 10.1016/j.dsp.2023.104016_br0060 article-title: Sparse reconstruction for near-field MIMO radar imaging using fast multipole method publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3126472 – start-page: 1 year: 2010 ident: 10.1016/j.dsp.2023.104016_br0220 article-title: Message passing algorithms for compressed sensing: I. Motivation and construction – year: 2011 ident: 10.1016/j.dsp.2023.104016_br0160 article-title: Generalized approximate message passing for estimation with random linear mixing – volume: 57 start-page: 764 issue: 2 year: 2011 ident: 10.1016/j.dsp.2023.104016_br0180 article-title: The dynamics of message passing on dense graphs, with applications to compressed sensing publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.2010.2094817 – volume: 3 start-page: 490 year: 2015 ident: 10.1016/j.dsp.2023.104016_br0100 article-title: A survey of sparse representation: algorithms and applications publication-title: IEEE Access doi: 10.1109/ACCESS.2015.2430359 – volume: 10 start-page: 98374 year: 2022 ident: 10.1016/j.dsp.2023.104016_br0040 article-title: Tree-structured dilated convolutional networks for image compressed sensing publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3206016 – volume: 50 start-page: 180 year: 2016 ident: 10.1016/j.dsp.2023.104016_br0080 article-title: Compressive sensing super resolution from multiple observations with application to passive millimeter wave images publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2015.12.005 – volume: 10 start-page: 85002 year: 2022 ident: 10.1016/j.dsp.2023.104016_br0090 article-title: Sparse signal representation, sampling, and recovery in compressive sensing frameworks publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3197594 – volume: 57 start-page: 2479 issue: 7 year: 2009 ident: 10.1016/j.dsp.2023.104016_br0300 article-title: Sparse reconstruction by separable approximation publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2009.2016892 – volume: 59 start-page: 4290 issue: 7 year: 2013 ident: 10.1016/j.dsp.2023.104016_br0190 article-title: Asymptotic analysis of complex LASSO via complex approximate message passing (CAMP) publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.2013.2252232 – volume: 60 start-page: 1 year: 2022 ident: 10.1016/j.dsp.2023.104016_br0330 article-title: Structured low-rank and sparse method for ISAR imaging with 2-D compressive sampling publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 59 start-page: 2405 issue: 5 year: 2011 ident: 10.1016/j.dsp.2023.104016_br0260 article-title: Should penalized least squares regression be interpreted as maximum a posteriori estimation? publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2011.2107908 – volume: 35 start-page: 617 year: 2006 ident: 10.1016/j.dsp.2023.104016_br0290 article-title: High-dimensional centrally symmetric polytopes with neighborliness proportional to dimension publication-title: Discrete Comput. Geom. doi: 10.1007/s00454-005-1220-0 – volume: 8 start-page: 45874 year: 2020 ident: 10.1016/j.dsp.2023.104016_br0140 article-title: Element-wise adaptive thresholds for learned iterative shrinkage thresholding algorithms publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2978237 – volume: 57 start-page: 289 issue: 1 year: 2009 ident: 10.1016/j.dsp.2023.104016_br0280 article-title: A fast approach for overcomplete sparse decomposition based on smoothed norm publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2008.2007606 – volume: 106 start-page: 18914 issue: 45 year: 2009 ident: 10.1016/j.dsp.2023.104016_br0150 article-title: Message-passing algorithms for compressed sensing publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0909892106 – volume: 61 start-page: 4658 issue: 19 year: 2011 ident: 10.1016/j.dsp.2023.104016_br0240 article-title: Expectation-maximization Gaussian-mixture approximate message passing publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2013.2272287 – volume: 58 start-page: 267 year: 1996 ident: 10.1016/j.dsp.2023.104016_br0130 article-title: Regression shrinkage and selection via the lasso publication-title: J. R. Stat. Soc. Ser. B doi: 10.1111/j.2517-6161.1996.tb02080.x – volume: 57 start-page: 3113 issue: 2 year: 2019 ident: 10.1016/j.dsp.2023.104016_br0120 article-title: Trainable ISTA for sparse signal recovery publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2019.2912879 – volume: 58 start-page: 1486 year: 1936 ident: 10.1016/j.dsp.2023.104016_br0170 article-title: Electric moments of molecules in liquids publication-title: J. Am. Chem. Soc. doi: 10.1021/ja01299a050 – volume: 81 start-page: 138 year: 2018 ident: 10.1016/j.dsp.2023.104016_br0070 article-title: Distributed compressed sensing for despeckling of SAR images publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2018.06.012 – start-page: 1135 year: 1981 ident: 10.1016/j.dsp.2023.104016_br0270 article-title: Estimation of the mean of a multivariate normal distribution publication-title: Ann. Stat. – volume: 52 start-page: 1289 issue: 4 year: 2006 ident: 10.1016/j.dsp.2023.104016_br0010 article-title: Compressed sensing publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.2006.871582 – start-page: 1549 year: 2009 ident: 10.1016/j.dsp.2023.104016_br0250 article-title: Bayesian pursuit algorithm for sparse representation – year: 2018 ident: 10.1016/j.dsp.2023.104016_br0210 article-title: Performance enhancement of wide-band radar signals, using a new adaptive CAMP algorithm in compressive sensing – volume: 2 start-page: 183 issue: 1 year: 2009 ident: 10.1016/j.dsp.2023.104016_br0310 article-title: A fast iterative shrinkage-thresholding algorithm for linear inverse problems publication-title: SIAM J. Imaging Sci. doi: 10.1137/080716542 – volume: 58 start-page: 5016 issue: 8 year: 2012 ident: 10.1016/j.dsp.2023.104016_br0320 article-title: Compressible distributions for high dimensional statistics publication-title: IEEE Trans. Inf. Theory doi: 10.1109/TIT.2012.2197174 – year: 2020 ident: 10.1016/j.dsp.2023.104016_br0110 article-title: A review of reconstruction algorithms in compressive sensing – volume: 61 start-page: 813 issue: 4 year: 2013 ident: 10.1016/j.dsp.2023.104016_br0200 article-title: Design and analysis of compressed sensing radar detectors publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2012.2225057 |
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| Title | An improved fast adaptive complex approximation message passing algorithm |
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