CA_VSNLMs

this file is the identification of the fermentation process using an inventive method to define Q-matrix which uses Matlab commands to define the time consuming derivative operations which simplifies the simulation and also reduces the calculation burden of the users. this m.file is a complete simulation of a chemical fermentation process which is done in Matlab. this job includes an on-line estimationn of the states of a control system and also the identification of the parameters of process. this work can be considered an identification research project to a great extent.

改程序为matlab实现离散信号的傅里叶变换 里面有注释以供初学者参考(The program for matlab discrete signal of Fourier transformation have comments for beginners in reference )

经验正交函数分析方法，是一种分析矩阵数据中的结构特征，提取主要数据特征量的一种方 法。常用于海洋、气象专业。(Empirical orthogonal function analysis method is an analysis of the data structure of the matrix, a method of extracting the main characteristics of the data volume. Commonly used in the marine, meteorology profession.)

mimo仿真 属于OFDM MATLAB(mimo simulation belong to OFDM MATLAB)

雷达测伪距 采用的正负调频法 matlab仿真源码 (The radar measured pseudorange positive and negative frequency modulation method matlab simulation source code)

genera una botella por curvas de bezier

CRC 校验的基本思想是利用线性编码理论，在发送端根据要传送的k 位二进制码序(crc)

文章在传统的分散压缩感知理论的基础上提出了一种新的联合压缩感知新算法，利用所要恢复的信号之间的相关性进一步减少所需要的采样点。(Scattered articles in the traditional theory of compressed sensing based on the proposed joint compression, a new perception of the new algorithm, using the signals to restore the correlation between the need to further reduce the sampling points.)

最速下降法又称为梯度法，是1847 年由著名数学家Cauchy 给出的，它是解析法中最古老的一种，其他解析方法或是它的变形，或是受它的启发而得到的，因此它是最优化方法的基础。这里给出其Matlab源程序。(The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical method one, other analytical method or its variants, or inspired by it obtained and therefore it is the basis for the optimization method. Here are its Matlab source.)

介绍用matlab进行有限元计算的国外经典著作，前面重点介绍了有限元的相关内容，后面重点讲解了如何利用matlab的工具箱实现有限元的计算。(This book gives a background treatment of the Galerkin method in Chaps. 2–4. Topics such as developing weak formulations as prelude to solving the finite element equation, interpolation functions, derivation of elemental equations, assembly and sample solutions were treated in these chapters. Chapter 5 gives an overview on the use of the pdetoolbox. Chapter 6 and 7 give different sample problems and their solutions on heat transfer and elasticity in Materials Engineering.)