Histogram_irregular

写了著名的最小均方准则下的自适应算法，在matlab环境下运行(Wrote a well-known least mean square criterion of the adaptive algorithm, running in matlab environment)

this code tells how to do denoising an image

本程序为与《多采样率系统》（Multiratensysteme）一书配套的（中文界面）MATLAB可视化程序(This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.)

hilbert-huang 变换中EMD(经验模态分解)方法对非线性信号的分析，固定模态分量及瞬时频率计算(hilbert-huang transform EMD (Empirical Mode Decomposition) method of nonlinear signal analysis, the fixed component and the instantaneous modal frequency counter Operator)

说明：  电力有源滤波器仿真电路图子电路图之三，算法是经典的dq0算法(APF circuit simulation circuit-ter, the algorithm is the classic dq0 Algorithm)

说明：  这是可在多钟人脸数据库运行的matlab程序，基于ICA,可做学习用(This is a clock face in a multi-run matlab program databases, based on ICA, do learn to use)

本书讲述了运用matlab处理图像，适合初学者，并包含源程序。(The book tells the story of the use of matlab image processing, suitable for beginners, and includes source.)

基于遗传算法的TSP算法，寻找最短的遍历N个城市的路径(TSP algorithm based on genetic algorithm to find the shortest path traversal N cities)

基于FPGA的system generator的图像旋转处理，利用system generator的图像旋转处理程序。本程序是基于system generator下的matlab运行。(FPGA-based image processing system generator rotation, the use of image rotation system generator handler. This procedure is based on matlab run under the system generator.)

说明：  模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)