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数学计算 Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA ...
其他 ofdm信道特性 Channel transmission simulator Channel transmission simulator ％ ％ inputs: ％ sig2 - noi
ofdm信道特性
Channel transmission simulator
Channel transmission simulator
％
％ inputs:
％ sig2 - noise variance
％ Mt - number of Tx antennas
％ Mr - number of Rx antennas
％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column
％ is the value of the antenna outputs a ...
其他 包括使用修正Gram-Schmit算法实现QR分解
包括使用修正Gram-Schmit算法实现QR分解，自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse p ...
matlab例程 The main features of the considered identification problem are that there is no an a priori separati
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the ...
单片机开发 The ADC0803 family is a series of three CMOS 8-bit successive approximation A/D converters using a
The ADC0803 family is a series of three CMOS 8-bit successive
approximation A/D converters using a resistive ladder and
capacitive array together with an auto-zero comparator. These
converters are designed to operate with microprocessor-controlled
buses using a minimum of external circuitry. The 3-S ...
matlab例程 This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error.
％
％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the
％ final prediction error estimate (fpe), the effective number of
％ weights in the network if the network has been train ...
人工智能/神经网络 This function calculates Akaike s final prediction error ％ estimate of the average generalization e
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
％
％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat)
％ produces the fin ...
微处理器开发 The AVRcam source files were built using the WinAVR distribution (version 3.3.1 of GCC). I haven t
The AVRcam source files were built using the WinAVR distribution
(version 3.3.1 of GCC). I haven t tested other versions of GCC,
but they should compile without too much difficulty.
* The source files for the AVRcam had the author name and copyright
information added back into them after the judgin ...
中间件编程 ucos2 is a file system for embedded applications which can be used on any media, for which you can p
ucos2 is a file system for embedded applications which can be used on any media, for which you can provide basic hardware access functions. &micro C/FS is a high performance library that has been optimized for minimum memory consumption in RAM and ROM, high speed and versatility. It is written in AN ...
嵌入式/单片机编程 ucos2 is a file system for embedded applications which can be used on any media, for which you can p
ucos2 is a file system for embedded applications which can be used on any media, for which you can provide basic hardware access functions. &micro C/FS is a high performance library that has been optimized for minimum memory consumption in RAM and ROM, high speed and versatility. It is written in AN ...