isodate

利用强制，默认，给定三种不同的阈值对信号进行消噪。(The use of coercion, by default, given three different thresholds of the signal de-noising.)

介绍了对信号小波包去噪和求功率谱密度的程序(Introduced the wavelet packet denoising and seek the power spectral density of the program)

To find the contrast of an image locally.

求解一维激波管问题等产生的偏微分方程组的几种数值差分格式算法。(Several Numerical Difference Schema Algorithms for Solving Partial Differential Equations of One - dimensional Shock Wave Tube Problems.)

最新的标号学习分布matlab代码，是一种比较新的优化算法(The latest distribution matlab code label study, is a relatively new optimization algorithm)

是matlab关于线性优化的一个很好的算法，很实用(Matlab a good algorithm for linear optimization, it is practical)

MATLAB图论源程序..EXAMPLES(MATLAB_GRAPH_EXAMPLES)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

Research of random signals. Fast Furier transform. Histograms and graphs made in Matlab. Lab work in Omsk state technical university.

matlab小波分析的书里的例子源代码全在这里(matlab wavelet analysis of the book source code for all examples here)