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kalman滤波程序，里面包含kalman的讲解及程序实现，对初学者比较有帮助。(a program of kalman )

MATLAB和Mathematica、Maple并称为三大数学软件。它在数学类科技应用软件中在数值计算方面首屈一指。MATLAB可以进行矩阵运算、绘制函数和数据、实现算法、创建用户界面、连接其他编程语言的程序等，主要应用于工程计算、控制设计、信号处理与通讯、图像处理、信号检测、金融建模设计与分析等领域。 MATLAB的基本数据单位是矩阵，它的指令表达式与数学、工程中常用的形式十分相似，故用MATLAB来解算问题要比用C，FORTRAN等语言完成相同的事情简捷得多，并且MATLAB也吸收了像Maple等软件的优点，使MATLAB成为一个强大的数学软件。在新的版本中也加入了对C，FORTRAN，C++，JAVA的支持。可以直接调用,用户也可以将自己编写的实用程序导入到MATLAB函数库中方便自己以后调用，此外许多的MATLAB爱好者都编写了一些经典的程序，用户可以直接进行下载就可以用。(MATLAB and Mathematica, Maple and called the three mathematical software. It is during a math class technology application software in the numerical calculations to none. MATLAB matrix operations can be performed, mapping functions and data, algorithm, creating the user interface, connect to other programming languages ​ ​ procedures, mainly used in engineering calculations, control design, signal processing and communications, image processing, signal detection, financial modeling design and analysis and other fields. MATLAB basic unit of data is a matrix, its instruction expression and mathematics, engineering, commonly used forms are very similar, so use MATLAB to solving the problem than with C, FORTRAN and other languages ​ ​ accomplish the same thing more simple, and also MATLAB absorb the advantages of software such as Maple, so MATLAB become a powerful mathematical software. In the new version also adds support for C, FORTRAN, C++, JAVA support. Can be calle)

仅供参考，目标跟踪关联算法，matlab源代码，NN算法(For reference only, target tracking correlation algorithm, matlab source code, NN algorithm)

THis is a presentation on Viola Joans Method and SIFT method introduced by David.G.Lowe

BEC_decode ldpc and BEC channel

SIFT算法的改进加速版本SURF算法，matlab源代码，有测试图片(SIFT algorithm to improve the accelerated version of SURF algorithm, matlab source code, test picture)

Detects lines in a binary image using common computer vision operation known as the Hough Transform.

说明：  多项式曲线拟合其中, x, y为已知数据点向量, 分别表示横,纵坐标, m为拟合多项式的次数, 结果返回m次拟合多项式系数, 从高次到低次存放在向量p中. (Polynomial curve fitting where, x, y as the vector of known data points, respectively, horizontal and vertical coordinates, m is the number of polynomial fitting, the results of m-fit polynomial coefficients returned from higher to Low times stored in the vector p,.)

QPSK在加性高斯白噪声环境下，信噪比和误码率的仿真。 先产生一个四组符号的序列，再将该序列映射到对应的相位上。用相应的函数产生均值为零、方差为δ2的加性高斯噪声。 (QPSK the additive white Gaussian noise environment, and the signal-to-noise ratio of the simulation. First group have a four symbols of sequence, then this sequence mapped to the corresponding phase on. With the corresponding function have zero mean and variance of 未2 additive white Gaussian noise.)

WSNs consists of hundreds or thousands of low cost nodes