Cyclostationarity

采用加权网络中节点强度和权重都是幂率分布的模型，可以广泛的应用于数据预测及数据分析,用MATLAB实现动态聚类或迭代自组织数据分析。( Using weighted model nodes in the network strength and weight are power law distribution, Can be widely used in data analysis and forecast data, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)

这是一个matlab的一本比较基础的书，里面包括所有matlab课程的所有内容。(This is a matlab a basis of comparison of the book, which includes all courses in all the contents of matlab.)

produce figure 4.9 of the book "informatioin theory,inference,and learning algorithm"

检测纠正ECG检测中qrs波的误检率和漏检率，以提供qrs波的检测效率。(Detected and corrected ECG wave detection qrs false detection rate and false negative rate, in order to provide qrs wave detection efficiency.)

本程序采用matlab中的simulink，对OFDM进行信道估计，在程序中采用的为BPSK调制方式。(the adoption of the Matlab Simulink, the right to conduct OFDM channel estimation, in the procedures used for BPSK modulation.)

MATLAB是美国MathWorks公司推出的一种可视化的科学计算软件，目前在国内外比较流行(MathWorks MATLAB is a US company launched a visualization in scientific computing software, the more popular at home and abroad)

在MATLAB环境下，以上代码通过编译。P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(In the MATLAB environment, the above code through the compiler. P0311: the use of Butterworth (Butterworth) low pass filter on the image noise by smoothing treatment P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment)

编码实现Hough变换算法,最基本的Hough变换检测直线方法，可以实现(achieve to detect lines)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

说明：  混沌系统中的李雅普诺夫指数MATLAB计算程序及说明(MATLAB Computing Program and Explanation of Lyapunov Index in Chaotic System)