SPARSITY

作品数：142被引量：233H指数：7
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相关领域：自动化与计算机技术更多>>
相关作者：李国发张若愚赵洪林孙赞东谢会文更多>>
相关机构：中国石油大学(北京)中国科学院上海交通大学中国石油更多>>
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相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金福建省自然科学基金更多>>
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SEMI-SUPERVISED RADIO TRANSMITTER CLASSIFICATION BASED ON ELASTIC SPARSITY REGULARIZED SVM被引量：2
《Journal of Electronics(China)》2012年第6期501-508,共8页Hu Guyu Gong Yong Chen Yande Pan Zhisong Deng Zhantao 
Supported by the Hi-Tech Research and Development Program of China (No. 2009AAJ130)
Non-collaborative radio transmitter recognition is a significant but challenging issue, since it is hard or costly to obtain labeled training data samples. In order to make effective use of the unlabeled samples which...
关键词：Radio transmitter recognition Cyclic spectrum density Semi-supervised classification Elastic Sparsity Regularized Support Vector Machine (ESRSVM) 
AN IMPROVED SPARSITY ADAPTIVE MATCHING PURSUIT ALGORITHM FOR COMPRESSIVE SENSING BASED ON REGULARIZED BACKTRACKING被引量：3
《Journal of Electronics(China)》2012年第6期580-584,共5页Zhao Ruizhen Ren Xiaoxin Han Xuelian Hu Shaohai 
Supported by the National Natural Science Foundation of China (No. 61073079);the Fundamental Research Funds for the Central Universities (2011JBM216,2011YJS021)
Sparsity Adaptive Matching Pursuit (SAMP) algorithm is a widely used reconstruction algorithm for compressive sensing in the case that the sparsity is unknown. In order to match the sparsity more accurately, we presen...
关键词：Compressive sensing Reconstruction algorithm Sparsity adaptive Regularized back-tracking 
A SPARSITY AND COMPRESSION RATIO JOINT ADJUSTMENT METHOD FOR COLLABORATIVE SPECTRUM SENSING被引量：1
《Journal of Electronics(China)》2012年第6期604-610,共7页Chi Jingxiu Zhang Jianwu Xu Xiaorong 
Supported by the National Natural Science Foundation of China (No. 61102066);China Postdoctoral Science Foundation (No. 2012M511365);the Scientific Research Project of Zhejiang Provincial Education Department (No.Y201119890)
Spectrum sensing is the fundamental task for Cognitive Radio (CR). To overcome the challenge of high sampling rate in traditional spectral estimation methods, Compressed Sensing (CS) theory is developed. A sparsity an...
关键词：Collaborative spectrum sensing Sparsity level Compression ratio Joint adjustment method 
A DISTRIBUTED COMPRESSED SENSING APPROACH FOR SPEECH SIGNAL DENOISING
《Journal of Electronics(China)》2011年第4期509-517,共9页Ji Yunyun Yang Zhen 
Supported by the National Natural Science Foundation of China (No. 60971129);the National Research Program of China (973 Program) (No. 2011CB302303);the Scientific Innovation Research Program of College Graduate in Jiangsu Province (No. CXLX11_0408)
Compressed sensing,a new area of signal processing rising in recent years,seeks to minimize the number of samples that is necessary to be taken from a signal for precise reconstruction.The precondition of compressed s...
关键词：Distributed compressed sensing Sparsity estimation Speech signal DENOISING 
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