beamforming_SL4

本文提出了一种Matlab环境下基Daubechies一5小波变换的灰色马尔可夫的短时交通流预测模型及算法 (In this paper, one kind Matlab environment Daubechies 5 wavelet transform gray Markov short term traffic flow prediction model and algorithm)

An Efficient Randomized Algorithm for Detecting Circles

说明：  基于小波包分解的脑电信号特征提取.格式是caj后缀的，大家看的时候可能得有CAJViewer 这个软件(Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer)

二维连续小波变换，以及高维连续小波变化，简单易懂！！(Mainly includes two dimensional continuous wavelet transform and higher dimensional continuous wavelet transform and its application!!)

对输入的二维灰值图像，先进行提升Haar小波变换，再用经典的EZW算法对小波系数进行压缩，然后反变换重构原图像。(On the importation of two-dimensional gray value of images, first upgrade the Haar wavelet transform, and then classical EZW algorithm to compress the wavelet coefficients, and then inverse transform reconstruction of the original image.)

小波神经网络,实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。(Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.)

结合离散小波变换(DWT)技术，利用DWT与HVS相结合的良好特性，探索和建立了一种新的图像质量客观评价方法(taking advantage of the similarities of discrete wavelet transform (DWT) with HVS，a new methods for integrated image quality assessment)

整数小波变换，可以直接运行，对图像小波分解(Integer wavelet transform)

本文研究的是利用奇异性指数实现对设备状态监视和故障预警功能。首先用LabVIEW 采集传感器电信号，然后对采集到的电信 号进行小波变换得到信号包络奇异点的奇异性指数，即设备运行状态的特征值(In this research project, we use LabVIEW to do wavelet-transformation to the signal collected by sensors in order to get singularity index from the singular points of the particular signal’s envelope. Through comparing this eigenvalue to the figures in a standard database, we can know the functional status of the instruments. Not only the diagnoses are continuously displayed, but alarms about signs of dysfunction will also be raised in a proper way. In other words, both the supervision of the instrument and warning of dysfunction can be achieved)

利用小波包分析信号的matlab程序，大家可以参考(Matlab program using wavelet packet analysis of the signal, we can refer to)