PFdemo

心电信号检测，利用小波分析方法还有其他方法(ECG testing, the use of wavelet analysis method there are other ways)

1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. ( 1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. )

functioning invovled in addintion and removal of noise

对信号进行短时傅里叶变换的逆变换，通过调用该函数查看信号进行处理后的时域信息(this code is used to processing the istft, and anslysis the distribution of the signal with time )

人工免疫算法的模式识别，用于故障诊断 (Pattern Recognition Artificial immune algorithm for fault diagnosis)

在matlab下有关s函数的应用，自抗扰控制器的S-function(S function in matlab under the application of Auto-Disturbance Rejection Controller S-function)

A Costas loop is a phase-locked loop used for carrier phase recovery from suppressed-carrier modulation signals, such as from double-sideband suppressed carrier signals. It was invented by John P. Costas at General Electric in the 1950s. Its invention was described as having had "a profound effect on modern digital communications".

对于复杂网络和小世界网络聚类系数和平均路径长度的计算(The calculation of the clustering coefficient and average path length)

1）利用CC++语言实现给定的LFSR； 2）通过不同初始状态生成相应的序列，并观察它们的周期有什么特点； 3）利用生成的序列对文本进行加/解密（按对应位作模2加运算）。 给定的LFSR为：(1) the use of C C++ language given LFSR 2) to generate the corresponding sequences by different initial state, and observe what are the characteristics of their cycle 3) using the generated sequence of text encryption/decryption (press the corresponding bit for modulo-2 addition operation). LFSR given as follows:)

最小二乘支持向量机是基于统计学习对小样本、非线性建模的一种完善的方法，本算法，实现了最小二乘支持向量机的回归问题的应用(LSSVM are based on small samples statistical learning, a well-established method of nonlinear modeling of this algorithm, the least squares support vector machine regression Application)