SOM

利用MATLAB实现的一个简单的水声波束形成程序。实现波束入射角度的定位功能。(The use of MATLAB to achieve a simple acoustic beam-forming process. To achieve the positioning function of beam incident angle.)

时间序列模型和预测的MATLAB代码，包含参数的估计方法，数据分布的检测，模型预测的源码(Matlab code for time series modeling and forecast )

二维双凹激光振荡，采用菲涅尔衍射和fox-li方法，得到两维幅度和相位输出(-Two-dimensional double-concave laser oscillation, using Fresnel diffraction and the method of fox-li, the two-dimensional amplitude and phase output..txt)

modul pelatihan matlab

这是一个火车票分配问题（只有X是未知的） 假设初始座位数为N 分配给AB，BC，AC的座位数量为（xAB,xBC,xAC） 假设在时间t还剩余的A-B,B-C的可售座位数为（a,b） 三个区段的需求DAB,DBC,DAC,是独立的随机变量（也可以给确定的值），其价格分别为（fAB，fBC，fAC）(This is a train ticket assignment problem (only X is unknown). Suppose the initial number of seats is N The number of seats allocated to AB, BC and AC is (xAB, xBC, xAC). Assuming that the remaining A-B in time t remains, the number of seats available for sale is B-C (a, b). Demand DAB, DBC and DAC in three sectors are independent random variables (which can also be given a fixed value), and their prices are (fAB, fBC, fAC) respectively.)

Matlab R2009b与MSVC 2008混合编程的源代码！(Matlab R2009b with MSVC 2008 Mixed programming source code!)

KDE for segmentation such as how to locate the person from the envrionment(KDE for segmentation)

学习matlab简单快速教程，适用于短期内掌握matlab核心数值编程(An introduction to Matlab Numerical Calculation)

《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.)

The reference design comprises a MATLAB bit accurate model of the CORDIC algorithm implemented in hardware and a GUI test environment. The test environment allows you to configure the CORDIC reference design and test conditions and to compare the results with the theoretical results.