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小波阈值去噪，比较了软阈值，硬阈值及当今各种阈值计算方法和阈值函数处理方法的性能，通过信噪比及均方差的比较，得出各种的算法的优劣。(Wavelet threshold denoising compared soft threshold and hard threshold and the current method of calculating the various thresholds and thresholds approach the performance of function, through the signal to noise ratio and mean square deviation of the comparison, the various algorithms advantages and disadvantages.)

Cyclic Power Spectral Density ab ab ab of signals X and Y using Welch s average

说明：  用matlab进行中值去噪的程序，建立一个被噪声污染的函数然后进行中值去噪处理。(Median denoising using matlab program, the establishment of a noise pollution function then median denoising.)

energy management in smart grid

在matlab环境下系统状态矩阵的编程求法(Under the environment of matlab programming method of the system state matrix)

《高等应用数学问题MATLAB求解》的PDF版及习题解答(《Higher Applied Mathematics MATLAB to solve the problem》of the PDF version and answer exercises)

MUSIC，多重信号分类法，基于子空间分解，是DOA估计中的经典高分辨方法，初学者必须懂的。(MUSIC, multiple signal classification method based on subspace decomposition, is the classic high-resolution DOA estimation method for beginners to understand.)

非线性整数规划的遗传算法Matlab程序 通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Matlab genetic algorithm of nonlinear integer programming Usually, the nonlinear integer programming is a NP problem, having the index complexity if the constraint is relatively complex, the Matlab optimization toolbox and some optimization software lingo, etc, for example, are often unable to apply, even if that can be also cannot give a more satisfactory solution.This is where the problem for design optimization algorithm.Here for a genetic algorithm is applied to nonlinear integer programming programming examples, for your reference!)

用该进的粒子群优化算法来解决旅行商问题，即TSP问题（Traveling Salesman Problem）(Using the advanced PSO algorithm to solve TSP（Traveling Salesman Problem）)

matlab语言转换成学语言，源程序主要用于生成粒子群算法(matlab language into learning the language, the source is mainly used to generate the PSO)