EEG Waveform Mapping Program

运用TDOA/AOA定位方法使用扩展卡尔曼滤波定位算法的的matlab程序源码仿真代码 (Use TDOA/AOA location method using extended Kalman filter algorithm matlab program source code of simulation)

这是用在MATLAB环境上，做出的火灾预警系统的论文，基于多传感器数据融合技术的加以改进的火灾预警系统。(It is used in the MATLAB environment, make a fire warning system papers, based on multi-sensor data to improve the fire warning system integration technology.)

LDPC编码算法, Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each column and row, place 1s uniformly at random noCyle : Length-4 cycle {0} Ignore (do nothing) {1} Eliminate onePerCol: Number of ones per column H : Low density parity check matrix(LDPC_code source Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each column and row, place 1s uniformly at random noCyle : Length-4 cycle {0} Ignore (do nothing) {1} Eliminate onePerCol: Number of ones per column H : Low density parity check matrix)

应用随机过程教程及在算法和智能计算中的随机模型，清华大学出版社，龚光鲁，钱敏平著。(Tutorial and the application of random process algorithm and intelligent computing of the stochastic model, Tsinghua University Press, Gong Lu, Qian Min-Ping book.)

This code use a Particle swarm optimization algorithm. and then optimize the learning rates of neural network. used is JENKIN s gasro and makey dataset.

这是一本书的一个章节的源代码关于图像优化的我觉得真的挺好的(This is a chapter of a book about image optimization of the source code, I think it is quite good)

基于相关性的图像配准程序。处理对象：数字图像处理。(Correlation-based image registration procedures. Handling objects: digital image processing.)

ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available) Information gain is defined as: InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute) Gain ratio is defined as: GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). ...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi

对matlab初学者是非常有用的资料 值得一看！！(It s worth for one to study Matlab …)

IBMde股票图形示例，，含数据有布林线，平均移动线 (IBMde stock graphic example, with data Bollinger Bands, Moving Average Line)