ztransformer

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

利用MATLAB进行机器人控制的仿真，包含10章，内容很丰富。(Using MATLAB simulation of the robot control, contain 10 chapters, covers a wide range.)

说明：  利用matlab生成的随机数做蒲丰（buffon）投针问题．(Is Pu Feng using the matlab production s random number (buffon) to throw the needle question. )

MATLAB数学手册,说明很详细，希望对大家感兴趣。(MATLAB MATHS FOUNCTION)

该算法主要是利用Kalman滤波算法实现目标的跟踪及参数估计。(The algorithm Kalman filtering algorithm is the main goal tracking and parameter estimation. )

qr factorization using hh algorithm colum pivioting

constrained evidential c means

：独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ，然后介绍了该算法在盲源 信号分离中的具体应用，并将此方法 与主成分方洼 ( P C A)进行了比较(: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algorithm for blind source separation in the concrete application of this method and with the principal component to depression ( PCA) were compared)

瑞利信道下，2发2收，最大似然译码，空时编码，MATLAB仿真实现(Rayleigh channel, 2 admission, maximum likelihood decoding, space-time coding, MATLAB simulation)

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