waveletFilter

RS纠错matlab源程序(保证正确，网站上现在错的源码很多).可方便地向C语言移植。内附几本RS纠错相关书籍，是rs入门级和提高的必备读物。有的尽管在其他地方也能找到，这几本，我为他们添加了书签，方便阅读。(RS error correction matlab source (to ensure correct and the source website is now a lot of mistakes). Can be easily transplanted to the C language. RS error correction included several books, is the entry-level and increase rs essential reading. Although some can be found in other places, which several, I added a bookmark them for easy reading.)

说明：  根据脉冲序列，使用s域z域之间的转换，求系统的脉冲响应传递函数(According to pulse sequence, the use of s-domain conversion between z-domain, and the system impulse response transfer function)

卡尔曼滤波 雷达对多维目标进行跟踪 并对装填方程进行预测 是入门的良好代码(Kalman filtering of radar target tracking and multi-dimensional equations to predict filling is good code entry)

单纯形法matlab程序，计算方程组（函数的个数显然大于方程个数）(Matlab program of the simplex method, the calculation equations (function number is clearly greater than the equation number))

实现图像实时剪切，并显示 实现图像实时剪切，并显示 实现图像实时剪切，并显示 (Cut to achieve real-time image, and displays the images in real time to achieve cutting, shearing and displays the images in real time to achieve, and display)

本程序是关于常微分方程初值问题数值解的欧拉算法及线性多步法的matlab代码，对初学者有帮助，例题用的李荣华的微分方程数值解法第一章的习题(This program is about Euler algorithm for numerical initial value problem of ordinary differential equations and linear multistep method matlab code, useful for beginners, examples of Li Ronghua s numerical solution of differential equations of the first chapter exercises )

CELP matlab代码,作者：Sourav Mondal(CELP matlab)

仿射变换 matlab 程序 关于2维配准(Affine transformation matlab program on the 2-D registration)

介绍了蒙特卡罗(Monte Carlo) 方法,即随机模拟方法,提出了任意分布随机数的产生原理 及方法,并用算例说明蒙特卡罗方法的使用过程,同时用χ2 拟和优度法验证了其合理性. 关键(Montcarlo simulation)

说明：  虚拟信号发生器是一个GUI产生（1）周期函数（包括正弦，三角，锯齿，和方波）不同振幅，频率和阶段 （2）不同振幅平方脉冲序列，频率，分期及职责循环 （3）双参数指数函数 （4）高斯曲线之间的范围不同，标准偏差和手段，以及（5）不同幅度的高斯噪声。你也可以添加一个偏移或高斯噪声的前四个以上任何职能。图形用户界面还能使用户可以添加指定的信号（或者乘以它的）一个先前定义的信号。 (Virtual Signal Generator is a GUI that produces (1) periodic functions (including sinusoidal, triangle, sawtooth, and square waves) of varying amplitudes, frequencies, and phases (2) square pulse trains of varying amplitudes, frequencies, phases, and duty cycles (3) two-parameter exponential functions (4) Gaussian curves of varying bounded areas, standard deviations, and means and (5) Gaussian noise of varying amplitude. One can also add an offset or Gaussian noise to any of the first four functions above. The GUI also enables the user to add the designated signal to (or multiply it by) a previously defined signal. )