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matlab例程 realize overlapped-add method %[y]=overlpadd(x,h,Nfft) %y:output sequence %x:input sequence %h

realize overlapped-add method %[y]=overlpadd(x,h,Nfft) %y:output sequence %x:input sequence %h:filter impulse response sequence %Nfft:points of each DFT operation %重叠相加法实现分段卷积
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matlab例程 %realize overlapped-save method %y:output sequence %x:input seqence %h:filter impulse response s

%realize overlapped-save method %y:output sequence %x:input seqence %h:filter impulse response sequence %N:length of each segment %重叠保留法实现分段卷积
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matlab例程 工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time se

工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time t, t=1, ..., N I(t) = 0 if there is a gap at time t ...
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汇编语言 EXAMPLE SOURCE CODE FOR IMPLIB FILTER This filter accepts input through the standard input stream

EXAMPLE SOURCE CODE FOR IMPLIB FILTER This filter accepts input through the standard input stream, convertsit and outputs it to the standard output am. The streams are linkedthrough pipes, such that the input stream is the output from the import librarian being invoked, and the output stream is con ...
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汇编语言 EXAMPLE SOURCE CODE FOR TASM FILTER his filter accepts input through the standard input stream, con

EXAMPLE SOURCE CODE FOR TASM FILTER his filter accepts input through the standard input stream, converts it and outputs it to the standard output stream. The streams are linked through pipes, such that the input stream is the output from the assembler being invoked, and the output stream is connecte ...
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通讯编程文档 matlab.soft.base介绍了matlab的软件基础和功能使用

matlab.soft.base介绍了matlab的软件基础和功能使用
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matlab例程 support vector classification machine % soft margin % uses "kernel.m" % % xtrain: (Ltrain,N) wit

support vector classification machine % soft margin % uses "kernel.m" % % xtrain: (Ltrain,N) with Ltrain: number of points N: dimension % ytrain: (Ltrain,1) containing class labels (-1 or +1) % xrun: (Lrun,N) with Lrun: number of points N: dimension % atrain: alpha coefficients (from svcm_tra ...
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其他书籍 请下载方正Apabi Reader进行阅读。http://www.skycn.com/soft/5531.html

请下载方正Apabi Reader进行阅读。http://www.skycn.com/soft/5531.html
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Java编程 The true-multilingual Virtual Keyboard with input translation support

The true-multilingual Virtual Keyboard with input translation support
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行业发展研究 The standard optimum Kalman filter demands complete knowledge of the system parameters, the input f

The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measurements and the filter residuals.
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