ICA

说明：  Matlab简单教程，能学习一些最基本的操作(Matlab simple tutorial to learn some basic operations)

上海期货市场自动交易接口CTP开发示例代码。(CTP interface examples codes.)

gbest trajectory (gbest trajectory)

使用MATLAB，实现以下四个功能 一、获取图片RGB值：给定一张图片，获取点(x,y)，以及(x,y)周围8个点的R、G、B值。 二、实现rgb2gray函数：使用matlab实现rgb2gray的功能，并能计算出转换后灰度图片的方差。 三、灰度图对比度增强：分别使用灰度拉伸和直方图均衡化，增强给定图的对比度。 四、图像去噪：对给定图片加椒盐噪声，并选择两个去噪算法去除椒盐噪声。 (Using MATLAB, to achieve the following four functions First, access to image RGB value: Given a picture, get the point (x, y), and (x, y) around 8 o clock in the R, G, B values. Second, the realization rgb2gray function: using matlab realize rgb2gray functions, and can calculate the variance after the conversion of grayscale image. Third, the grayscale contrast enhancement: namely, the use of gray stretch and histogram equalization, contrast enhancement given graph. Fourth, the image denoising: for a given image add salt and pepper noise, and you know at least two denoising algorithm to remove salt and pepper noise. )

Outage probability is a crude measure of performance. It is defined as the probability when mutual information is less than the given threshold. The importance of outage probability is that when outage occurs, there is more likely to have decoding failure. In other words, it is a typical error. In fading channels, the received signal has no constant power which be depending on the channel, can be described by probability models. Thus, signal to noise ratio will also becomes a random variable. and Thus the maximum capacity of the channel becomes a random variable. Outage probability says according to the variable signal to noise ratio at the received end, what is the probability that a rate is not supported due to variable signal to noise raito.

ber snr odfm matlab code rayleigh

this file do LFM compression with time domain weighting for reducing the time side lobe

Here is some simple Matlab image warping code that I wrote a while ago that others continue to find useful. The code requires that you have Matlab and the Image Processing Toolkit installed

In numerical analysis, Newton s method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real-valued function. The algorithm is first in the class of Householder s methods, succeeded by Halley s method. The method can also be extended to complex functions and to systems of equations.

用sobol方法计算基于方差的客观不确定性指标的程序。(Sobol method used to calculate the variance of uncertainty based on objective indicators of the program.)