zoomfft

异步电机起动仿真程序（abc坐标系下）两个文件要放在一个文件夹下运行(asynchronous start program)

这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较，很值得研究！(The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) the differences between the points of comparison, in the traditional LMS algorithm is developed on the basis of the LMS algorithm applications. On the other hand and from the analysis of RLS algorithm and LMS algorithm for its different characteristics were compared, it is worth studying!)

embed and extract an image in lsb of audio!!

1、典型连续时间信号波形绘制 1）单边指数信号 要求： (1) 画出t=0,1,2,…,500共501点 (2)在一个坐标系中用三种不同颜色分别绘制如下三种情况下的波形 (a) E=200,X=62.5 (b) E=200,X=125.0 (c) E=200,X=250.0 (3)标出特殊点的坐标，如t=0和 的坐标 代码为此题目的解 ()

波束形成MATLAB程序，包括线阵、平面阵和圆阵，通过matlab程序，了解波束成形的算法过程，以及其含义.内容充实，希望对大家有帮助.(Beamforming MATLAB procedures, including linear, planar array and circular array, through matlab program to understand the process of beamforming algorithm, as well as its meaning. Informative, we want to help.)

说明：  神经网络算法，适合适合科研人员和学生进行优化和调参。新手理解鱼群算法，希望大家可以认真学习其中的道理。(Neural network algorithm is suitable for scientific researchers and students to optimize and participate. Novice understands Fish Swarm Algorithms, I hope you can seriously learn the truth.)

Fourier transform and DFT (Fourier transform)

MATLAB OFDM系统中PAPR计算(MATLAB OFDM PAPR computing systems)

本matlab源代码功能是用有限元方法来解决在统一的横向压力下的薄板弯曲问题。(Bending of thin plate under uniform transverse pressure is solved using Finite Element Method)

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )