dct-precoded-SLM-method-for-PAPR-reduction

科学计算引论 即 matlab数值分析 （第二版）(numerical value analysis based on matlab)

经测试可以运行的MATLAB编程实现混合蛙跳算法(After the test you can run MATLAB programming realize SFLA)

objct-c aop编程，使用Method Swizzling方法

本文用matlab的GUI编程实现对图像的二值化处理，适合初学者(In this paper, the GUI programming matlab binary image processing, suitable for beginners)

this is fingerprint combination for privacy protection code only contain feature extraction

LSI就是这样一种维数约减方法。它可以通过对“文档向量矩阵”进行解奇异值分解（SVD: Singular Value Decomposition）运算，自动计算得到一个比原始空间小得多的有效语义空间(LSI is such a dimensionality reduction method. It can be through the "document vector matrix" for the singular value decomposition (SVD: Singular Value Decomposition) operation, automatically calculated an effective semantic space is much smaller than the original space)

概率密度或分布通用函数，其中包括正态分布，二项分布，指数分布等(Probability density or distribution of generic functions, including normal distribution, binomial distribution, exponential distribution)

语音分帧程序，解决了MATLAB难以读取.WAV问题(Voice sub-frame process of MATLAB to solve difficult to read. WAV problem)

this is matlab version for removal of the active noise for am anlog systems

一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点，但算法收敛性差，计算时间长。(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)