Compressed Sensing Reconstruction of an Audio signal using OMP
作者: Shwetha A. Gangannawar and Saroja V. Siddmal
刊名: International Journal of Advanced Computer Research (IJACR), 2015, Vol.5 (18)
来源数据库: ACCENTS
关键词: Compressive sensingsparsitymeasurement matrix and OMP.
原始语种摘要: Compressive sensing (CS) is an evolving technique for data acquisition that promises sampling a sparse signal from a far fewer measurements than its dimension. Compressive sensing enables a potentially large reduction in the sampling and computation cost for sensing signals that have sparse representation. The signal having sparse representation can be recovered from small set of linear, non-adaptive measurements. This paper mainly focuses on fixing threshold value for proper reconstruction of an audio signal. An audio signal is better reconstructed for the threshold value between (-0.02 to +0.02). Various performance parameters are measured which describe exact reconstruction of the signal. For proper reconstruction Orthogonal Matching Pursuit algorithm is used.
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  • reconstruction 复原
  • signal 信号
  • reconstructed 修]重构[建
  • threshold 阈值
  • sensing 感觉
  • sparse 稀疏的
  • representation 表现
  • technique 技术
  • adaptive 适应的
  • audio 听觉的