RBNmFiles_10062007

周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。(Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the result is an estimated power spectral density of the signal sequence of the real spectrum and spectral convolution window, resulting in the generation of errors. The procedures were designed periodogram, maximum entropy power spectrum estimation and the Welch method and their comparison, the maximum entropy power spectrum estimation purpose is to maximize the retention of truncated after the loss of the " window" than the information signal, the entropy of the estimated spectrum maximum.)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

此文件实现自下而上关联向量机方法通过使用单独的函数中计算出的不同的内核函数的多类 RVM 分类。

基于小波分析(用小波db4对信号进行多尺度分解7层），对脑电信号进行不同频带的分析，并绘制出功率谱。

object removal在图像处理中的意思是用户可以随意擦去图像中的一个物体，算法可以自动的用背景中的信息补去空洞，达到看不出来是处理过的效果，又叫inpainting，该程序由matlab写成，效果非常好，文档、演示、测试图像均齐全-(object removal in image processing means that users can remove images of an object, the algorithm can automatically use the background information to fill empty, reaching out is not to look over the effectiveness of treatment, also known as inpainting, the program by matlab languages, has very good results, documents, presentations, test images have complete )

互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0 点这里下载: 混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有 (Mutual information matlab, chaotic time series analysis and forecast Version1.0 point toolbox here to download: Chaotic Time Series Analysis and Forecast of the toolbox Version1.0chaotic time series analysis and prediction matlab toolbox- version 1.01, the kit includes a chaotic time series analysis with the projected common method, there are)

The progress of the research in wireless communications and in other areas stimulates the rapid development of WSN. The motivation for the development of WSN is their flexibility, relative ease of installation (e.g., in places with radioactive pollution), lower power consumption etc. As can be concluded from [2], a WSN - is an infrastructure comprised of sensing, computing, and wireless communication elements that provides the ability to instrument, observe, and react to events and phenomena in a certain environment. The information obtained by sensors can be used for civil, governmental, commercial, or industrial purposes.

利用自然梯度算法，可以动态调节运行环境的参数，是信号处理的基础，匹配追踪和正交匹配追踪，经典的灰度共生矩阵纹理计算方法，基于负熵最大的独立分量分析。

说明：  用于生成回波以进行仿真研究，内含一些设定好的数据(Used to generate echo for simulation study)

MOPSO是当前最popular的多目标算法。该代码是我做课题研究编写的，参考了Coello的论文。代码简单，并有说明