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其他书籍 Design and VLSI implementation of a digital audio-specific DSP core for MP3_AAC

Design and VLSI implementation of a digital audio-specific DSP core for MP3_AAC
https://www.eeworm.com/dl/542/356897.html
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其他 Multi-label classification 和weka集成

Multi-label classification 和weka集成
https://www.eeworm.com/dl/534/357125.html
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通讯编程文档 With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow

With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main appli- cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common resear ...
https://www.eeworm.com/dl/646/358921.html
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matlab例程 It is about digital image processingand photomechanical printing2

It is about digital image processingand photomechanical printing2
https://www.eeworm.com/dl/665/358928.html
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单片机开发 Discription: This multi-master driver provides the software interface to the I2C Bus hardware of th

Discription: This multi-master driver provides the software interface to the I2C Bus hardware of the M3062x series of MitsubishiMCU.
https://www.eeworm.com/dl/648/359674.html
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通讯编程文档 Multicast Algorithms for Multi-Channel Wireless Mesh Networks

Multicast Algorithms for Multi-Channel Wireless Mesh Networks
https://www.eeworm.com/dl/646/360696.html
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人工智能/神经网络 RBFMIP is a package for training multi-instance RBF neural networks

RBFMIP is a package for training multi-instance RBF neural networks
https://www.eeworm.com/dl/650/365737.html
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人工智能/神经网络 BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code

BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
https://www.eeworm.com/dl/650/365739.html
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人工智能/神经网络 CCE is a multi-instance learning method solving multi-instance problems through adapting multi-insta

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance represen ...
https://www.eeworm.com/dl/650/365742.html
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人工智能/神经网络 This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Den

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
https://www.eeworm.com/dl/650/365769.html
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