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1.rar
This MATLAB code calculates the array factor for N element linear array. N单元线性阵列的方向图函数MATLAB仿真代码
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matchedfilter..rar
A Matlab code to plot the matched filter for 16-element linear array with constant phase weights on transmit and receive LFM waveform parameters.计算具有收发线性调频波形参数的相位权重的16单元线性匹配滤波器
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Robustcontrol.rar
An adaptive fuzzy integral sliding mode
controller for mismatched time-varying linear systems is
presented in this paper. The proposed fuzzy integral sliding
mode controller is designed to have zero steady state
system error under step inputs and ...
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An_Empirical_Study_of_Smoothing_Techniques_for_Lan
measure through
the cross-entropy of test data. In addition,
we introduce two novel smoothing techniques,
one a variation of Jelinek-Mercer
smoothing and one a very simple linear interpolation
technique, both of which outperform
existing methods.
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batbp.rar
... ]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the
％ network with backpropagation.
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％ The activation functions must be either linear or tanh. The network
％ architecture is defined by the matrix NetDef consisting of two
％ rows. The first row specifies ...
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marq.rar
... ,W1,W2,PHI,Y,trparms)
％ trains the network with the Levenberg-Marquardt method.
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％ The activation functions can be either linear or tanh. The
％ network architecture is defined by the matrix NetDef which
％ has two rows. The first row specifies the ...
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loo.rar
... input-output
％ pair in the data set, starting from the initial weights (W1,W2). If
％ trparms(1)=0 an approximation to the loo-estimate based on "linear
％ unlearning" is produced. This is in general less accurate, but is much
％ faster to calculate.
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rpe.rar
... Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
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％ The activation functions can either be linear or tanh. The network
％ architecture is defined by the matrix NetDef , which has of two
％ rows. The first row ...
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lle_roweis.rar
这是LLE的原始算法，原文的参考文献是：S.T.Roweis and L.K.Saul. Nonlinear dimensionality reduction by locally linear embedding. Science,
290, 2000.
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