matlab

二维图像直方图的绘制程序，基于MATLAB(Two-dimensional image histogram mapping procedures, based on MATLAB)

小波分析Mallat算法经典程序，包含小波谱分析，滤波器，重构算法等。(Mallat algorithm of wavelet analysis of the classical procedures)

homomorphic filter codes are available.

基于SVR的线性系统故障诊断，假设线性系统在1.4s~1.6s期间发生前向通道恒增益故障，恒增益变化系数为1.8(Linear systems based on SVR fault diagnosis, assuming a linear system in 1.4s ~ 1.6s during forward channel constant gain fault, constant gain coefficient of variation of 1.8)

it is choas for optimazation0

[inds,cidx] = kmedioids(D,k) Performs k-mediods clustering only requires a distance matrix D and number of clusters k. Finds cluster assignments "inds" to minimize the following cost function:

基于均匀线阵，用music对信号进行多频率估计(frequece of estimaton )

使用LQR(线性约束下的二次型规划算法)进行无人驾驶车辆路径跟随的工程实例(An Engineering Example of Unmanned Vehicle Route Following Using LQR (Quadratic Programming Algorithm with Linear Constraints))

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

由于自校正控制器在实际中的广泛运用，其缺点日益明显，主要体现在变阶次、变时延和变参数的系统中，因此研制具有较强的鲁棒性的控制器在实际运用中非常有用。Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的缺点，具有较强的鲁棒性。(self-tuning controller in practice the widespread use of its increasingly obvious shortcomings, mainly reflected in the change of Order, Variable Delay and change parameters in the system, developed with the robustness of the controller in actual application is very useful. Clark and others put the GPC self-tuning controller is based on the parameters of a model predictive control algorithm, it uses time optimize performance indicators, combining literacy and self-correction mechanism, in order to overcome self-tuning control of the shortcomings, with strong robust.)