期刊文献+

基于DSP的OMP算法实现及音频信号处理 被引量:3

OMP Algorithm Implemented on DSP Platform and Its Application in Audio Processing
下载PDF
导出
摘要 在DSP平台上实现了压缩感知理论中的正交匹配追踪算法,证明了其可行性。针对音频信号的特点,提出了一种实现方案,使重构信号具有更为良好的主观效果。率先在DSP平台上实现了OMP算法,并将其在音频领域进行了应用,为音频压缩处理提供了新的技术方向。 An idea of implementing Orthogonal Matching Pursuit algorithm of compressive sensing on DSP platform is presented, and the feasibility of the idea is proved. Features of audio signals are considered, a scheme to reconstruct signal with good subjective effects is proposed. In this paper, Orthogonal Matching Pursuit on DSP platform is implemented firstly, audio signals are applied. It also provides a new technical direction for audio compression.
出处 《电声技术》 2012年第2期60-63,共4页 Audio Engineering
关键词 OMP算法 DSP 音频处理 OMP algorithm DSP audio processing
  • 相关文献

参考文献9

  • 1石光明,刘丹华,高大化,刘哲,林杰,王良君.压缩感知理论及其研究进展[J].电子学报,2009,37(5):1070-1081. 被引量:711
  • 2TROPP J, GILBERT A. Signal recovery from random measurements via orthogonal matching pursuit [ J ]. IEEE Transactions on Information Theory, 2007, 53(12) : 4655 -4666.
  • 3BARANIUK R. A lecture on compressive sensing[ J]. IEEE Signal Processing Magazine, 2007,24 ( 4 ) : 118 - 121.
  • 4CANDeS E, TAO T. Near optimal signal recovery from random projections: Universal encoding strategies [ J ]. IEEE Transactions on Information Theory, 2006, 52(12) : 5406 - 5425.
  • 5CANDeS E, ROMBERG J, TAO T. Stable signal recovery from incomplete and inaccurate measurements [ J ]. Communications on Pure and Applied Mathematics, 2006, 59 (8) : 1207 - 1223.
  • 6MALLAT S, ZHANG Z. Matching pursuit with time -frequency dictionary [ J ]. IEEE Trans. Signal Processing, 1993, 41(12) : 3397 -3415.
  • 7NEEDELL D, VERSHYNIN R. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit [ J ]. Found Comput. Math, 2009, 9 (3) : 317 - 334.
  • 8NEEDELL D, TROPP J. CoSaMP: herative signal recovery from incomplete and inaccurate samples [ J ]. Applied and Computational Harmonic Analysis, 2009, 26(3) : 301 -321.
  • 9DAI W, MILENKOVIC O. Subspace pursuit for compressive sensing signal reconstruction [ J ]. IEEE Transactions on Information Theory, 2009, 55 (5) : 2230 - 2249.

二级参考文献82

  • 1张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633. 被引量:71
  • 2R Baraniuk.A lecture on compressive sensing[J].IEEE Signal Processing Magazine,2007,24(4):118-121.
  • 3Guangming Shi,Jie Lin,Xuyang Chen,Fei Qi,Danhua Liu and Li Zhang.UWB echo signal detection with ultra low rate sampling based on compressed sensing[J].IEEE Trans.On Circuits and Systems-Ⅱ:Express Briefs,2008,55(4):379-383.
  • 4Cand,S E J.Ridgelets:theory and applications[I)].Stanford.Stanford University.1998.
  • 5E Candès,D L Donoho.Curvelets[R].USA:Department of Statistics,Stanford University.1999.
  • 6E L Pennec,S Mallat.Image compression with geometrical wavelets[A].Proc.of IEEE International Conference on Image Processing,ICIP'2000[C].Vancouver,BC:IEEE Computer Society,2000.1:661-664.
  • 7Do,Minh N,Vetterli,Martin.Contourlets:A new directional multiresolution image representation[A].Conference Record of the Asilomar Conference on Signals,Systems and Computers[C].Pacific Groove,CA,United States:IEEE Computer Society.2002.1:497-501.
  • 8G Peyré.Best Basis compressed sensing[J].Lecture Notes in Ccmputer Science,2007,4485:80-91.
  • 9V Temlyakov.Nonlinear Methods of Approximation[R].IMI Research Reports,Dept of Mathematics,University of South Carolina.2001.01-09.
  • 10S Mallat,Z Zhang.Matching pursuits with time-frequency dictionaries[J].IEEE Trans Signal Process,1993,41(12):3397-3415.

共引文献710

同被引文献24

  • 1周书仁,梁昔明,杨秋芬,叶吉祥.基于PSO与ICA的表情特征提取[J].计算机应用,2007,27(11):2797-2799. 被引量:8
  • 2CHEN Juan-juan,ZHAO Zheng,SUN Han,et al. Facial expression recognition based on PCA reconstruction[C]//2010 5th Inter-national Conference on Computer Science and Education (ICCSE), 2010:195-198.
  • 3David M Blei, Andrew Y Ng, Michael I jordan. Latent Diri- chletallocation[J]. Journal of Machine Learning Research, 2009(3):993-1022.
  • 4LI Xiao-li, RUAN Qiu-qi, RUAN Cheng-xiong. Facial expre- ssion recognition with local GabofflIters[Cy/2010 IEEE 10* Inter-national Conference on Signal Processing(ICSP2010), 2010:334-339.
  • 5GUO Zhen-hua,Zhang L,Zhang D. A completed modeling of local binary pattern operator for texture classification[J], IEEE Transactions on Image Processing, 2010,19(6):1657-1663.
  • 6Chaiyasit Tanchotsrinon, Suphakant phimohares, saranya Maneeroj. Facial expression recognition using graph-based features and artificial neural networks[C]//2011 IEEE Inter- national Conference on Imaging Systems and Techniques (IST), 2011:331-334.
  • 7Erdos L, Ramirez J, Schlein B, et al. Bulk universality for wigner hermifian matrices with subexponential decay[J]. Mathematical Research Letters, 2010,17 (4): 667-674.
  • 8DonohoDL.Compressedsensing[J].IEEE Transactions on Infor- mation Theory, 2006, 52(4) : 1289-1306.
  • 9Emmanuel Candes, Justin Romberg. Ll-magic: Recovery of sparse, signals via convex programming[R]//Caltech, 2005.
  • 10Tony Cai T, Lie Wang. Orthogonal matching pursuit for sparse signal recovery with noise[J]. IEEE Transactions on Information Theory, 2011, 57 (7) :4680-4688.

引证文献3

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部