two-dimensional-gausian

NSGA原代码，很多人在找这个，对搞智能优化很有帮助(NSGA original code, a lot of people looking for this, very helpful to engage in intelligent optimization)

example code Pca for sludge digester

MATLAB structures provide a way to collect arrays of different types and sizes in a single array. The following codes show how this can be made for problem1.m. One of the most interesting features is that the argument passing to functions is simplified. MATLAB codes for Finite Element Analysis problem1.m antonio ferreira 2008

Rayleigh fading with + BER Calculation for Independent Gaussian random variables with zero mean and unit variance

贝叶斯分类器 基于背景差分的运动目标检测 基于小波变换的图像压缩 基于BP的模型优化预测 基于RLS算法的数据预测 等等(Bias classifier is based on background difference moving object detection, wavelet based image compression, BP based model optimization prediction, RLS based algorithm for data prediction, and so on)

在MATLAB下的图像处理程序，通过对pcb参数的设定，对比图片，将pcb电路板的缺陷检测出来(In the MATLAB image processing procedures, through the PCB parameter settings, contrast images, the PCB circuit board defect detection )

Matlab和VC混合编程的实例，自己写的，包含基本的矩阵运算，Matlab定义的数据结构mwArray和c++的通讯，希望对初学者有帮助。 需要Matlab 6.5自带的C++数学函数库支持。(Matlab and VC examples of mixed programming, write, and contains the basic matrix operations, Matlab data structure defined mwArray and c++ communication, hope to help beginners. Requires Matlab 6.5 comes with C++ Math Library support.)

说明：  sar成像点目标仿真程序MATALAB源代码。能给出 图像。很有用 的(sar imaging point target simulation program MATALAB source code. Can give the image. Useful)

This lab exercise will cover the use of AccelDSP’s design exploration capabilities that include mapping variables to memory and unrolling loop and vector operations. You will learn how to create different hardware architectures without modifying the MATLAB source to explore different area/performance tradeoffs.(This lab exercise will cover the use of Acce lDSP's design exploration capabilities that i nclude mapping variables to memory and unrolli Vi loop and vector operations. You will learn ho w to create different hardware architectures w ithout modifying the MATLAB source to explore d ifferent area/performance tradeoffs.)

MPSK simulation 1. System Parameters 2. Data Generation 3. Modulation 4. AWGN 5. Demodulation 6. Detection