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利用Matlab求解带有时间延迟的Mackey-Glass系统，在非线性动力学中经常用到。可以用来求解类似的延迟微分方程系统。(using Matlab time delay with the Mackey-Glass Systems, Nonlinear Dynamics frequently used. Can be used to solve the differential equation similar to the delayed system.)

对视频字幕定位的程序，可以完成并且用白框框出字幕文本。(Subtitle positioning of video programs can be completed and a caption box with white text.)

Manual usuario notebook HP 550.

MATLAB GUI实现电子电话本包括添加、删除、查找、编辑、保存、读取等功能(MATLAB GUI for electronic phone book)

这是用于目标跟踪的粒子滤波代码， 用matlab编写的，很有借鉴性，一维情况下， 非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性(This is a particle filter for target tracking code using matlab, referential nature, one-dimensional case, the non-Gaussian non-linear, which will be extended Kalman filter and particle filter to compare, a better description of the particle the superiority of the filter)

Spatial based to remove dct artifacts

本程序主要仿真MIMO系统的ZF以及MMSE算法，在不同信噪比下的误码率。(This program mainly ZF and MMSE algorithm of multi-input multi-output (MIMO) system simulation, under different SNR ber.)

一种基于软划分方法的聚类方法——模糊k均值法聚类分析。(A division of methods based on soft clustering method- fuzzy k-means cluster analysis.)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

属性分类的粒子群算法Particle swarm optimization (pso) algorithm to the classification of the attribute(Particle swarm optimization (pso) algorithm to the classification of the attribute)