A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling

Xifeng Guo; Dazhi Wang; Wei Liu

doi:10.1016/s1004-9541(12)60602-8

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JOURNAL ARTICLE

A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling

Xifeng Guo Dazhi Wang Wei Liu

Year: 2012 Journal: Chinese Journal of Chemical Engineering Vol: 20 (6)Pages: 1161-1166 Publisher: Elsevier BV

DOI: 10.1016/s1004-9541(12)60602-8

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Keywords:

Compressed sensing Nyquist–Shannon sampling theorem Sampling (signal processing) Computer science Power (physics) SIGNAL (programming language) Algorithm Pattern recognition (psychology) Data mining Real-time computing Electronic engineering Artificial intelligence Engineering Computer vision Telecommunications Detector

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling

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