lijiang

改进型的蚁群算法，能够快速求解多目标规划(Improved ant colony algorithm, fast multi-objective planning)

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)

probability matrix find the power to make it equal array.

说明：  本程序来自TI公司网站原程序,其功能是通过传统的矢量控制算法来实现对永磁同步电机的控制,矢量控制采用双闭环结构，内环为电流环，外环为速度环，其速度的获得是靠滑模自适应算法求得。是一个不可多得无速度传感器矢量控制例程。控制程序可以采用.asm也可以采用.C。程序的具体算法和介绍在软件压缩包有详细介绍！ (this program from the company's Web site TI program, its function is through the traditional vector control algorithm to achieve the permanent magnet synchronous motor control, vector control double-loop structure for the inner loop current loop, velocity loop to the outer ring, the speed was on sliding mode is obtained adaptive algorithm. It is a rare speed sensorless vector control routines. Control procedures can be taken. Asm also be used. C. The specific procedures and the introduction of the algorithm compression software packages are described in detail!)

说明：  利用Matalab软件分别编写子函数实现数字图像压缩及解压缩处理，并统计分析压缩处理算法所能够实现的压缩比及解压图像和原始图像间的均方根误差。(Functions were written by Matalab software for digital image compression and decompression processing, and statistical analysis of compression algorithms to achieve the compression ratio and decompression images and root mean square error between the original image.)

这是升余弦滚降系统，包括时域波形，付氏变换，功率普分析，以及眼图，很有用的(Raised Cosine system, including time-domain waveform, Fourier transform, power & P analysis, and eye diagram, a very useful)

this is a code for neural network that estimate diffrential equations with heb learning

用matlab编程实现三次样条插值拟合曲线(Cubic spline interpolation curve fitting using matlab programming)

主成份分析， matlab源代码， PCA 算法。(The principal component analysis, Matlab source code, PCA algorithm.)

说明：  关于LTE切换的matlab仿真程序。内涵参考文献和代码。(Matlab simulation program for LTE handover. Connotation references and codes.)