cclog

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Deblurring Images - Matrices, Spectra, and Filtering

PSO工具，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(PSO tool, users only need to define their own needs optimization function (calculation of minimum or maximum), and set the good function from the range of variables, each iteration the maximum allowable variation (known as maximum speed, Max_V), etc. , can self-optimize.)

matlab源代码，实现红外图像的非均匀性校正，代码经试验无错误(Infrared image non-uniformity correction)

说明：  Matlab图像处理工具手册,介绍一些MATLAB 图像处理命令(Matlab image processing toolkit to introduce some MATLAB image processing commands)

说明：  AM MODULATION: It is matlab code for AM,DSBSC,SSBSC,SSB with carrier ,ISB, & multitone AM & their spectrum. AM is a technique used in electronic communication, most commonly for transmitting information via a radio carrier wave. AM works by varying the strength of the transmitted signal in relation to the information being sent. For example, changes in signal strength may be used to specify the sounds to be reproduced by a loudspeaker, or the light intensity of television pixels. Contrast this with frequency modulation, in which the frequency is varied, and phase modulation, in which the phase is varied.

Prediction method with PLS_twoblock model

RC2 Parameter Spec implements Algorithm Parameter Spec.

这是一个用人工鱼群算法编写的求函数极值的matlab程序(This is an artificial fish school algorithm with the evaluation of the function extreme value write matlab program)

自适应的粒子群优化算法，作毕业设计的同学可以看看(Adaptive Particle Swarm Optimization for graduate design students can see)