DTC_PMSMjj

通过图像像素点之间的相关性来判断该像素点为噪声点还是信号点，进而对其进行滤波。(first, we judge the image pixel that it is noise pixel or signal pixel by compute the correlations between them.then we remove the noise of the image.)

编程实现了F-K变换，可以用于地震数据二维视速度滤波(Programming the FK transform two-dimensional seismic data can be used to filter the apparent velocity)

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

说明：  讲述了Matlab中小波降噪技术的使用，并讲述小波分解原理及如何检验。(Tells Matlab to use the wavelet noise reduction technology, and wavelet theory, and how about the test.)

Robust controller design

画圆，，复杂背景下，圆心的中心定位，使用的是霍夫变换(Circle, complex background, the center of the circle' s center position, using a Hough transform)

说明：  在各行各业的工程实践中，有大量的科学计算工作需要完成。传统的计算方式一般需要较长的周期，相比之下开发效率极高的MATLAB是一个更好的选择。在MATLAB中，编程细节被简化，繁琐的实现过程也被略去，用户可以将更多精力集中于所需要处理的核心问题上。 MATLAB科学计算涉及数学、机械、电子、控制和金融等多个领域。本书以MATLAB科学工程计算为立足点，介绍MATLAB在科学计算领域中如何运用庞大的科学函数库来解决一些实际问题。在函数的选择上兼顾各函数的使用频率和专业性，力求典型全面。本书可作为MATLAB课程的教学用书或者线性代数、概率统计等课程的教学辅助书。(In the engineering practice of all walks of life, there is a lot of scientific calculation work to be completed. The traditional calculation method generally needs a long period, in contrast, the development of highly efficient MATLAB is a better choice. In MATLAB, the programming details are simplified, and the tedious implementation process is also omitted. Users can focus more on the core issues they need to deal with.)

This code is used to Solve the Center of picture.

使用蚁群算法并进行改进，利用改进的蚁群算法优化BP神经网络的程序(Ant colony algorithm and improved use of improved ant colony algorithm to optimize BP neural network program)

线性调频脉冲压缩的Matlab程序,包括广义互相关函数GCC时延估计，计算时间和二维直方图。( LFM pulse compression of the Matlab program, Including the generalized cross-correlation function GCC time delay estimation, Computing time and two-dimensional histogram.)