svm_v0[1].55beta.tar

采用matlab来检测肤色区域，其他区域置为灰色，一个很简单的程序，基于RGB颜色空间(skin color detection)

to compares two least-square linear regression

matalb经典算法，包括代数方程组的解法，微分方程实验，优化问题实验(matalb classical algorithms, including the solution of algebraic equations, differential equations experiment, experimental optimization)

说明：  ：简述了数字图像处理、MATLAB软件及两者之间的关系，针对数字图像处理技术的特点及MATLAB语言的应用环 境，选择二雏离散傅里叶变换线性性质的MATLAB实现和直方图均衡化的MATLAB实现作为数字图像处理课程的入门实 验，实现了数字图像处理与MATLAB之间的有机结合。(: A brief review of digital image processing, MATLAB software and the relationship between the two for digital image processing technology, features and application environment MATLAB language, choose the two underage Discrete Fourier Transform Linear nature of MATLAB implementation and histogram equalization The MATLAB implementation of digital image processing program as the entry test to achieve a digital image processing and the organic integration between MATLAB.)

关于FFT变换的源程序,需要的朋友别错过咯，适合所有关于FFT的初学者(the order of FFT，you need it,suit for all the beginner of FFT.)

输入是一个矩阵，运行程序后得到z字扫描后的向量，输入时一个向量，运行程序后得到的是逆序向量(matrix performs zigzaging or inverse zigzaging)

This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.

this is a subfile for motion detection

一维的MATLAB的FDTD的仿真程序，可帮助初学者对FDTD有所帮助。(One-dimensional FDTD simulation of the MATLAB program to help beginners on the FDTD help.)

源码给出了非线性规划（NLP）的梯度法，其中gradf.m为梯度法算法，下载设置参数既能运行。(Given nonlinear programming source (NLP) in the gradient method, which gradf.m as gradient algorithm, download the set parameters not only run.)