fenduanhanshu

基于susan、hirrs方法的角点检测程序、采用matlab编程，易于阅读。(Corner Detectio)

用Matlab程序实现P阶Levinson-Durbin算法。以一个2阶自回归模型（参数为b0=1, a1=0, a2=0.81）和一个2阶滑动平均模型（参数为b0=1, b1=1, b2=1）为例，选取观测数据长度为1000，分别用一个AR(2)模型和一个AR(10)阶模型来估计其功率谱。设激励信号模型的高斯白噪声的均值为0，方差为1。用Levinson-Durbin算法迭代计算AR模型参数，并用估计出的AR模型参数画出观测信号的功率谱。并对Levinson-Durbin算法的性能进行分析。(Write a small MATLAB program that implements the pthorder Levinson-Durbin (L-D). Run/Test the program using a AR(2) process (b0=1,a1=0, a2=0.81) and an MA(2) (bn=1,1,1) process-about 1000 samples. Use L-D with p=2 (for the AR) and 10 (for the MA). Plot the AR spectra produced in the two cases with L-D. List the direct form and the reflection coefficients in a table. Profile the L-D (total number of computations for a pthorder)

说明：  四种滤波器的设计，里面有详细的程序与图像，可以运行出来的(Four kinds of filter design, there is a detailed procedure and image, can run out of the filter )

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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

包括matlab环境下的步态识别代码，视频序列、ppt展示及相关文献(Including gait recognition code in the Matlab environment, the video sequence, ppt show and related literature)

对DOA算法中的MUSIC算法进行了改进，使其对DOA的估计更准确,(Algorithm for DOA MUSIC algorithm has been improved to make it more accurate estimates for DOA,)

零/恒模信号的盲源分离算法 matlab实现(Zero/constant modulus signal blind source separation algorithm is proposed )

This simulation demonstrates the use of the PMSM in a closed-loop speed and current control on a 1.1 kW 3000 rpm industrial motor. A three-phase motor rated 1.1 KW, 220 V, 3000 rpm is fed by a PWM inverter. In this simulation, the whole system is built entirely with standard Simulink blocks (without resort to blocksets).

利用RegionGrow 來區分腦內的組織，進而達到分割影像的效果(To use RegionGrow to distinguish the organization of the brain, thus achieving the effect of the image segmentation)

增广的最小二乘法源程序，加以改进，可以用于动力电池的电路模型参数辨识，也可以用于超级电容的系统辨识(Augmented Least Squares source code, to be improved, can be used to power batteries of the circuit model parameters identification, super-capacitor can also be used for system identification)