CRF

EEG brain signal anlaysis codes. Extract event-related potential (ERP) compoents from brain signal. Estimate ERP waveforms, and the assoimated single-trial latencies and amplitudes. Estimate spectrum of on-going activities. Two algoithms, dVCA and AESO, are implemeneted. Could be useful for researchers and students in biomeical engineering.

结合经典PID设计与模糊理论，设计模糊PID系统，并进行仿真(Design with classical PID and fuzzy theory, fuzzy PID system design and simulation)

1. 按照式计算相似性矩阵 2. 排除自身的相似度 3. 按照式计算归一化矩阵 4. 按照式计算归一化拉普拉斯图矩阵L 5. 计算L的特征向量，将前个特征值最大的向量按列放置成一个矩阵，即依次为前个特征值最大的特征向量 6. 归一化X形成矩阵Y 7. 对矩阵Y按每行为一个数据点，进行k-means聚类，第行所属的类就是原来所属的类。(1. similarity matrix based on formula computation 2. rule out your own similarity. 3. normalized matrix based on formula computation 4. normalized formula Laplasse matrix L according to formula. 5. Calculate the eigenvectors of L. Place the vectors with the largest eigenvalues in columns into a matrix, that is, the eigenvectors with the largest eigenvalues in turn. 6. normalized X formation matrix Y 7. K-means clustering is applied to matrix Y according to one data point per behavior. The first row belongs to the original class.)

Here i attach the MATLAB codings for dsp applications. with the help of these coding we can easily design the dsp applications

simulink的课件的PPT，适合入门者使用(the ppt of simulink and it is the base of simulink)

the attached all programs are based on error control coding for ex. LBC, Convolition, RS code etc. all programs are generalized means for any size input or any type of circuit respectively. the all programs are tested on matlab 2012

谱系聚类发 给定聚类点数可得到聚类中心 很好很强大(Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers)

10*10正方形区域内4个锚节点k个随机未知节点的最小二乘定位法MATLAB源码(10* 10 square area within the four anchor nodes k least squares random unknown node location in MATLAB source)

A low pass Noise, FM discriminator and Envelop Detector matlab code

通过周期循环算法检测信号，并对不同类型窗函数进行检测性能分析(Signal detection algorithm through the cycle, and to detect different types of performance analysis window function)