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利用matlab软件对PID参数进行多种方式的调节整定(Using matlab software PID parameter tuning adjustment of a variety of ways)

matlab做人脸识别的一段程序源码，需要自行下载数据库(do face recognition matlab source code of a program, you need to download the )

％ y=filter(sig,fmin,fmax) ％ 对信号进行理想滤波，可完成低通，带通 ％ sig为被滤波信号 ％ fmin为下限频率，当fmin为0时为低通滤波器，当fmin>0时，为带通滤波器 ％ fmax为上限频率，fmax>fmin ％ fs为信号的采样频率 ％ y为经过滤波后的信号 (％ Y = filter (sig, fmin, fmax)％ of the ideal signal filtering, to be completed by low-pass, band-pass filter％ sig for signal％ fmin is the minimum frequency, when fmin for 0:00 for the low-pass filter, when fmin > 0, for the bandpass filter％ fmax is the upper limit frequency, fmax> fmin％ fs for signal sampling frequency％ y for the filtered signal)

很好用，用matlab编的偏最小二乘法，直接在matlab里就可以用。另外带有PLS讲解(Good use, with the partial least squares matlab compiled directly in matlab can be used inside. In addition to explain with PLS)

说明：  本书介绍了Matlab在一些经典算法上的应用，以及详细讲解了图形界面（GUI）的用法。(This book describes some of the classic algorithms in Matlab applications, and gave a detailed graphical user interface (GUI) usage.)

使用matlab仿真chirp信号模型应用于GPS捕获(Chirp signal using matlab simulation model to capture GPS)

说明：  利用Matlab进行仿真VFH+算法，创建了几个地图。(Using MATLAB to simulate VFH + algorithm, several maps are created.)

Recursive gabor filter implemntation

两个正态总体方差的检验(F检验)的matlab程序(Two normal population variance test (F test) in matlab program)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)