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说明：  Gauss消元法，用于求解线性方程组，一般阶数不能太大，太大了效果不好！(Gauss)

697493自适应滤波算法的MATLAB代码 (697493 adaptive filtering algorithm MATLAB code)

分数付利叶变换的第二种算法 matlab程序(The m-file frft2.m computes the fast fractional Fourier transform following the algorithm)

对线性调频信号的仿真分析，包括图像分析及实验程序(Linear FM signal simulation analysis, including image analysis and experimental procedures)

利用遗传算法求解75个城市之间的最优路径，得到的结果较为理想。(The use of genetic algorithm for optimal path between the 75 cities, the result is more desirable.)

四元数matlab代码中的基本程序，方便理解四元数的构成(Quaternion matlab code of the basic procedures to facilitate the understanding of the composition of quaternion)

遗传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。

软限幅效应,量化阶数及取样间隔对直扩数字匹配滤性能的影响 郭南1996 本文以典型的AID变换量化器和改进型抖动噪声量化器为倒t研究几个数字化参数对 直接序列扩频(DS／SS)数字匹配滤渡／相关性能(系统的处理增益和误比特率)的影响，给出理论分 析及计算机模拟结果 用最优化方法研究最佳软限幅问题；指出增加量化比特数与引入抖动噪声 相比能更有救地改善系统性能，而且只要采用三比特的量化就能使系统性能接近无穷量他的效 果．文中还讨论了取洋间隔以及噪声的归一化带宽对系统性能的影响。本文的结果可为台理设计 直扩数字匹配撼披器，相关器提供必要的理论依据。(Soft limiter effect of quantization and sampling intervals on the order of DS digital matched filter performance Guo South 1996 In this paper, a typical quantization AID transform quantization noise and improved jitter inverted t examine several parameters on the digital direct sequence spread frequency (DS/SS) digital matched filter crossing/relative performance (system processing gain and bit error rate) of given theoretical analysis and computer simulation results using optimization method of optimal soft limiter problem pointed out that the increase in quantization bits Number and introduce jitter noise can be more saved than to improve system performance, and as long as the three-bit quantization of the system performance can be substantially infinite amount of his effect. The paper also discusses the fetch interval and ocean noise normalized bandwidth impact on system performance. The results of this paper designed for station management shake Phi DS digital matched device, prov)

光伏的数学通用模型。 工程用途，我参考搭建的模型 可以使用。(Universal mathematical model of PV. Engineering purposes)

model predictive control