powell

在瑞利通道下，连续相位调制信号多用户检测(In the Rayleigh channel, the continuous phase modulated signal multi-user detection)

这个程序可以修复因噪声/噪音干扰或者因抖动产生的失真的图像，Inverse滤波器, Wiener滤波器和Lucy-Richardson滤波器被使用到，同时代码还使用了光学流线分析，估计模糊的长度和角度。(This program can recover from noise/noise or distortion due to jitter generated images, Inverse filter, Wiener filter and the Lucy-Richardson filter were used, while the code also uses optical flow line analysis, estimated the length and fuzzy angle.)

平面框架结构MATLAB源程序，可以计算任意平面框架结构。(MATLAB source of Plane frame structure that you can calculate any plane frame structure.)

说明：  基于罚函数的粒子群算法，可求解带有非线性约束的优化问题。(Particle swarm optimization (PSO) based on penalty function can solve optimization problems with non-linear constraints.)

用Matlab实现了对一副图像骨架的提取，方法简单，易于掌握。内附实例(Using Matlab to achieve an image of the skeleton extraction method is simple, easy to master. Containing examples)

使用matlab的小波分解和重建函数对24位的ADC采样数据进行小波变换和去噪，去噪使用阈值算法，阈值的选取具体使用了6种方法进行对比，对于不同信号其效果是不同的！把去噪后的信号和原始信号放在一个图中，使用不同颜色的曲线进行对比，效果可以很直观的表现。(Using matlab wavelet decomposition and reconstruction of the function for 24-bit ADC sampling data wavelet transform and denoising, denoising using the threshold algorithm, the threshold selecting specific methods used six kinds of contrast, the effect for different signals is different The! After the denoising signal and the original signal on a map using different colors to compare curves, the effect can be very intuitive performance.)

当前统计模型机动目标跟踪算法。本程序对做圆周运动的机动目标的X方向进行了跟踪仿真。(Current statistical model for maneuvering target tracking algorithm. This procedure for doing circular motion of the X direction of maneuvering target tracking simulation carried out.)

生成不同长度、不同字母表的数据集，适合于学术实验数据的生成。(Generate different length, different data sets the alphabet, suitable for academic experimental data generation.)

说明：  基于禁忌搜索算法的配电网无功补偿优化规划 能够降低网损 (Planning power distribution grid based on Tabu Search Algorithm for Optimal Reactive Power Compensation)

neural network mode for time series,which can process data adaptively