testfunction

designing of fir filter by adaptive algorithm like binary lms algorithm

洛伦兹系统吸引子分岔图、最大李雅普指数、功率谱、时间序列等。其他系统只需改下系统方程(Lorentz system attractor bifurcation diagram, maximum Lyapu index, power spectrum, time series and so on. Other systems only need to change the system equation)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

手指静脉linear_subspace特征提取 matlab实现(The finger vein linear_subspace feature extraction matlab achieve)

MATLAB在化学化工中的应用.pdf-许国银编写 所有网站上唯一的pdf文档，首次上传(matlab chemistry All sites only PDF documents, the first upload )

用于512点循环卷积，采用的是重叠保留法，和重叠相加法(For the 512-point circular convolution, using overlapping retention law, and overlap-add method)

matlab的十几种图像滤波算法，费好大力气才找到的，希望能给于借鉴(several image filtering algorithm, spent many great efforts to find, in the hope that they will learn from)

这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者 (This is a reference book for MATLAB, suitable for use with MATLAB or MATLAB is intended readers)

This is matlab mdl file ,SVPWM realization on TMS320F2812. Its wonderful.

 Bootstrap is a data based simulation method for statistical inference. The basic idea of bootstrap is to use the sample data to compute a statistic and to estimate its sampling distribution, without any model assumption. Many technics are described with some examples in matlab.