MatlabNumeric

一个泊松随机数生成代码，可调节的，但是貌似产生的随机数一直都不变(A Poisson random number generator code, can be adjusted, but the seemingly random numbers have been generated by the same)

说明：  用matlab算法实现的平方根算法 用于数值分析中平方根发求解线性方程(Matlab algorithm using the square root algorithm for the numerical analysis of the square root of hair for solving linear equations)

help me to help another

Decimation reduces the original sampling rate for a sequence to a lower rate, the opposite of interpolation. The decimation process filters the input data with a lowpass filter and then resamples the resulting smoothed signal at a lower rate.

心电数据的匹配，hilbert变换用于心电的检测和分析 (ECG data matching, hilbert transform ECG for the detection and analysis)

无标度网络的传播震荡毕业设计论文和源程序，主要有无标度网络的建立及其同步特性的分析，具有群落结构的无标度网络及其同步特性分析，还包括社会网络及其同步特性的分析(Scale-free networks spread shock design graduate papers and source code, mainly to establish whether the scale-free network analysis and synchronization features, with a community structure and scale-free network synchronization feature analysis, but also include social networking and synchronization Characteristics Analysis)

speech processing for signal seperation

自动控制原理课程设计Principles of Automatic (Course Design Principles of Automatic Control)

说明：  MATLAB 7_0 在数字信号处理中的应用(超星图书，书中有例程的)(MATLAB 7_0 in the digital signal processing applications (Superstar books, book routines))

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)