PSO-optimize-RBF

自适应算法 rls 和原理和例子 带详解(Adaptive algorithm RLS and principles and examples with detailed)

我的作业　请大家批评指正 我的作业　请大家批评指正 我的作业　请大家批评指正 (I please correct me I criticized the operation Please correct me I criticized the operations criticized please correct me Operating I please correct me I criticized the operation Please correct me I criticized the operations criticized please correct me)

对信号进行插值、抽取、抽样率转换的多个小例子(Interpolation, decimation, sampling rate conversion)

音频信号的小波分解与重构实例，在MATLAB里调用sym1小波函数进行三层分解。(audio signal decomposition and reconstruction by means of wavelet )

交织码通常表示为（M，N），分组长度L=MN，交织方式用M行N列的交织矩阵表示。一般，交织方式分为分组交织和卷积交织。分组交织的交织矩阵按列写入，按行读出；去交织矩阵按行写入按列读出。卷积交织的交织矩阵和去交织矩阵的写入与读出均按行进行。(Intertwined code is usually expressed as (M, N), the packet length L = MN, interwoven manner, said interwoven matrix with M rows and N columns. In general, interwoven into the packet interleaving and convolutional interleaving. Grouping of interwoven interwoven matrix column to write, to read de-interlacing matrix read out by column written by line by line. Convolutional interleaving interleaving matrix and de-interlacing matrix to write and read are OK.)

A three-body simulation matlab small procedures, parameters can be modified after the track and watch planetary motion picture production

【matlab编程代做】 制作MATLAB的摆动 可以作为参考使用源码([Do] matlab programming generation swing produced using MATLAB can be used as a reference source)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

this is new approach for fuel cell control.it is really helpfull.

读取轴承全寿命周期中的每组数据，并对其进行多域特征提取，包括时域和频域特征提取，用于轴承性能退化评估的研究很有用，自己亲手调试成功(Read bearing the full life cycle of each set of data, and extract its multi-domain characteristics, including time domain and frequency domain feature extraction for bearing performance degradation assessment studies are useful)