clipping_ccdf

QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。(QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the use of Givens rotation implementation of the QR decomposition of data matrix, the weight vector will eventually solve the problem into a triangular system of linear equations solving the problem.)

這個檔案裡面的matlab的m函數，產生有效的都普勒fd隨機相關的瑞利衰減包絡，可以輸入你想要的doppler ferquecy和sampling ferquecy (This file inside the matlab m-function, effective Doppler fd related Rayleigh random attenuation envelope, you can enter your desired doppler ferquecy and sampling ferquecy)

用matlab生成一个伪随机序列，并用国家密码管理局发布的随机性检测规范中的三种算法对它进行随机性检测(Generates a pseudo-random sequence with matlab, and released by the State Encryption Administration randomness test specification make it three algorithms randomness test)

fourier series close original signal

二维capon算法DOA估计matlab代码，非常实用，希望对大家有帮助(Two-dimensional DOA estimation capon algorithm matlab code )

主要有采样定理的主程序和FFT算法程序，能运行！(Mainly on the sampling theorem and the FFT algorithm program the main program can run! )

标准的卡尔曼滤波程序文件，直接可用有注释 对于初学者有帮助(Standard Kalman filtering program files, can be annotated directly helpful for beginners)

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.)

This simulation model is conducted in PSACD to simulate the booster inverter to used it in the wind power simulation project.

Perl 语言编程 第三版 作者:Larry Wall, Tom Christiansen, and Jon Orwant 译者:何伟平 (The third edition of the Perl programming language: Larry Wall, Tom Christiansen, and Jon Orwant Translator: weipin)