With the popularization and application of computer technology, digital information filled every corner of human society. Artificial management of digital information has been unable to adapt to the development of soc...
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ISBN:
(纸本)9781467385152
With the popularization and application of computer technology, digital information filled every corner of human society. Artificial management of digital information has been unable to adapt to the development of society, therefore, efficient management and accurate positioning technology of the mass of information has become research hot spots of many research groups. The work proposed in this paper is application and twice extraction of information basing on singular value decomposition. This approach will use the singular value decomposition for the train matrix, modify the eigenvalue by comparison algorithm, generate new train matrix, and then use the principal component analysis of secondary data processing. Our approach not only reduces redundant information and dimension of the original data, but it eliminates the relevance of each input variable. Using extensive simulations and a number of experiments involving proportional data, we show the merits and the accuracy of the proposed approach.
With the popularization and application of computer technology,digital information filled every corner of human *** management of digital information has been unable to adapt to the development of society,therefore,ef...
详细信息
ISBN:
(纸本)9781467385169
With the popularization and application of computer technology,digital information filled every corner of human *** management of digital information has been unable to adapt to the development of society,therefore,efficient management and accurate positioning technology of the mass of information has become research hot spots of many research *** work proposed in this paper is application and twice extraction of information basing on singular value *** approach will use the singular value decomposition for the train matrix,modify the eigenvalue by comparison algorithm,generate new train matrix,and then use the principal component analysis of secondarydata *** approach not only reduces redundant information and dimension of the original data,but it eliminates the relevance of each input *** extensive simulations and a number of experiments involving proportional data,we show the merits and the accuracy of the proposed approach.
The formation of signals in the receiving channel of the recording system is assumed to be described by the linear procedure of convolution (Duhamel's integral) in the first approximation. In this case, distortion...
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The formation of signals in the receiving channel of the recording system is assumed to be described by the linear procedure of convolution (Duhamel's integral) in the first approximation. In this case, distortions caused by irregularity in the amplitude-frequency characteristic of electroacoustic converters (receivers) can be reduced and a real form of input signals can be recovered. To do this, it is required to know the impulse characteristic of the receiver and the amplifying part of the input channel of the system and to perform secondary data processing. A principal possibility of recovering a form of the input signals in such a way is shown.
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