ruan1

胡广书现代信号处理MATLAB程序，值得学习(Hu Guangshu MATLAB modern signal processing procedures, it is worth learning)

有源带通滤波器设计软件Filterlab中文使用参考资料(Active band-pass filter design software Filterlab Chinese use reference materials)

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点 ％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx(neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle layer neurons in the transfer function for the output layer tansig% have eight nodes, its neuron transfer function for the training function logsig% used traingdx)

根据静态苹果图像RGB三值检测苹果表面是否有缺陷，比较准确(Apple RGB image from the static three-valued test whether apple surface defects, more accurate)

This example demonstrates how to use the backend service in Google-App-Engine. 1. Change name of application in app.yml and firstmodule.yaml to the name of you application 2. Upload the files 3. Open the main page

svm前向搜索策略程序，用于特征提取，提高运算速度，提高运算精度(svm program before the search strategy for feature extraction, improve processing speed, improve processing accuracy)

In computer science and information theory, Huffman coding is an entropy encoding algorithm used for lossless data compression. The term refers to the use of a variable-length code table for encoding a source symbol (such as a character in a file) where the variable-length code table has been derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol. It was developed by David A. Huffman while he was a Ph.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".

neural network tools

机器学习实战 第六章 Machine Learning in　Action Charpter6 instance(Machine Learning in　Action Charpter6 instance)