adaptivehuffman

说明：  对带噪图象进行处理，削去不必要的东西，抗干扰，(right image processing, cut unnecessary things, interference,)

SIFT算子程序，，使用简单，，代码有注释，，并给出使用方法(SIFT operator subroutine, use simple code annotated, and given the use)

利用matlab进行信号采样（欠采样、过采样等）的源程序(Sampling the signal using matlab (less sampling, oversampling, etc.) of the source)

说明：  基于模板匹配和肤色检测的人脸检测，包括肤色分割，类似人脸区域检测，模板调整及模板匹配的代码(Template matching and color-based face detection testing, including skin color segmentation, similar to the face region detection, templates and template matching to adjust the code)

这是一个已知ar模型参数求功率谱密度的函数(Ar model parameters are known to seek the power spectral density function)

基于遗传交叉算法的改进的混沌粒子群优化算法。(The improved chaotic particle swarm optimization algorithm based on genetic crossover algorithm has high convergence speed and high precision)

Matlab fdtd using PML incidindo num cilindro.

matlab数字信号处理，包括基础的信号创建，滤波器的设计，以及系统的构架等基础知识(Matlab digital signal processing, signal includes basic creation, filter design, basic knowledge and system architecture )

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

Random embedding of an image in an image