RBF-neural-network

压缩感知理论对图像数据进行采集，并利用重构算法omp,GSPR,ST0等算法进行分析视频重构图像的效果(Compressed sensing theory for image data acquisition and reconstruction algorithm using omp, GSPR, ST0 video reconstruction algorithms to analyze the effect of image)

图像相似判断matlab用于两个图片的相似度进行比较和分析，一个采用巴氏系数计算法。另外一个rfg越接近1则越相似(matlab similar )

BER plot for SUI channel 1-6

灰度 GM（1.1）模型：灰色系统其内部一部分信息已知，另一部分信息未知或不确定。对既含有已知信息又含有不确定信息的系统进行的预测，也就是对在一定范围内变化的、与时间序列有关的灰过程进行 预测。(Gray GM (1.1) model of grey system: the internal part of the information known, the other part of the information is unknown or uncertain. In which there are both known information and uncertain for the prediction information system, is also the process of gray change in a certain range, with the time series related to Prediction.)

双离合变速器，主要是对变速箱进行simulink仿真，模拟动力传输路径(DCT transmission)

传染病动力学李氏指数用matlab来编程得到图像(Lipschitz Dynamics of Infectious Diseases)

采用高斯变异改进基本萤火虫群优化算法，得到很好的效果(Gaussian variation improve basic fireflies swarm optimization algorithm to get good results)

Arranges blocks of a matrix as rows of another matrix.

HOW ARE U AM FINE AND YOU

These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used. In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone. We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset. The topics discussed include: * Signal manipulation and visualisation * Design and application of digital filters * Frequency-domain analysis * Automatic peak detection * Feature extraction from signals * Train and test of simple Neural Networks