boost

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

一个基于矢量控制的无速度传感器MATLAB仿真模型。(Based on vector control without a speed sensor MATLAB simulation model.)

Sugeno模糊模型的倒立摆控制单链路 (Sugeno fuzzy model of the single-link inverted pendulum control)

说明：  关于ofdm 限幅法的matlab仿真程序(Clipping on the matlab ofdm simulation program)

自已编的图像处理，带GUI界面的彩色小波消噪程序等等，能进一步理解MATLAB在图像处理中的应用。(own series of image processing, with the color GUI interface wavelet denoising procedures, and so on. further understanding of MATLAB in image processing applications.)

说明：  fastICA 算法的界面平台，主要用于信号的界面展示(fastICA)

Matlab灰色预测成语代码，方便大家实用(Matlab work huiseyuce)

美式期权计算程序，利用的是implicit euler方法进行计算(implicit euler method to calculate American option.)

用matlab编程实现数字传输码型的仿真，包括单双极性归零，不归零，HDB3等(Digital transmission code simulation using matlab programming, including single and double polarity zero, not zero, HDB3, etc.)

用Matlab实现的人脸检测算法. Based on the paper: Face Detection using Local SMQT Features and Split Up SNoW Classifier(Face Detection algorithm for Matlab. Based on the paper: Face Detection using Local SMQT Features and Split Up SNoW Classifier)