ACPI

这是基于高斯模型的运动目标检测算法。采用空间是YUV。(This is based on the Gaussian model of moving target detection algorithm. The use of space is YUV.)

This is the code for vector quantization by using k-means

因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

本算法能对来波方向进行估计，精确度在10度以内，很有学习价值(The algorithm can estimate the DOA accuracy within 10 degrees, great learning value)

some of the books of matlab efg

matlab 工具汇总word格式 便于复制粘贴 一个对学习MATLAB不错的讲解(matlab tools summary word format, copy and paste an easy to learn MATLAB good explanations)

this is turbocode encoder,decoder,sova algorithm

用粒子群优化算法（PSO）求peaks函数的极值(Particle swarm optimization (PSO) seeking the extreme peaks function)

这是matlab的代码，将cnn进行三次池化的代码，可以作为学习卷积神经网络的入门例子(This is a matlab code that will perform three pooled cnn code can be used as a convolution neural network learning introductory example)

说明：  matlab的bp神经网络算法以及准确率的计算，训练函数采用lm算法(Matlab bp neural network algorithm and accuracy calculation, training function using LM algorithm)