搜索资源列表
Global-Behaviour-Inference-using-PLSA
- This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any anomaly in behaviours occurring both locally and globally. Specifically, This paperpropose
Real-time-detection-of-negative
- 同相牵引供电系统旨在实现电能质量的综合补偿。提出了一种基于同步坐标变换的电流检测方法，能实时准确地检测 出负载电流的基波正序有功分量、基波正序无功分量、基波负序分量以及谐波分量，为综合补偿提供了基础。电能质量的补 偿力度与设备容量之间存在非线性关系。提出补偿度的概念，并给出补偿度与电能质量参数的关系，通过给定电能质量期望 参数，实时调整负序、谐波以及无功补偿度，使得综合潮流控制器容量在各电能质量补偿参数之间得到实时优化配置，从而 实现同相供电系统容量优化满意补偿。理论推导和仿真结
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- 将高阶时频表示引入机械故障诊断领域。介绍了Wigner 高阶矩谱(WHOS)的概念、定义。针对多分量信号Wigner 高阶矩谱的交叉项会产生“虚假信号”,结合局域波法, 提出了一种抑制WHOS交叉项的新方法。首先对复杂信号进行预处理, 利用局域波分解方法把其分解成有限个具有单分量特性的基本模式分量,然后对每个基本模式分量计算WHOS。该方法能有效抑制WHOS时频分布的交叉项。通过仿真实验和转子的故障实验,以Wigner 双谱为例, 验证了该方法的实用性,为故障诊断的特征提取提供了新的工具-Hig
watermatking
- 对信号进行DWT分解，并对信号进行水印提取重构，测试信噪比-decompose signal by DWT,watermark the watermarking test it s PSNR
Hilbert335
- 测量6205深沟球轴承的故障振动加速度信号, 对信号进行时频分析, 利用经验模态分解方法将振动信号分解成不同特征时间尺度的固有模态函数,对每个固有模态函数进行Hilbert 变换得到Hilbert 谱,通过谱分析识别轴承的故障部位和类型, 证实Hilbert 谱的有效性-Measuring 6205 deep groove ball bearing fault vibration acceleration signal, the signal frequency analysis, empiri
diagnosis--based-on-LEM
- A novel fault feature extraction method based on the local mean decomposition technology and multi-scale entropy is proposed in this paper. When fault occurs in roller bearings, the vibration signals picked up would exactly display non-stationary
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对 故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
Smal-l-Target--Detection
- 提出了一种新的基于小波包变换 和偏斜度的检测方法。该方法利用小波包对图像进行多尺度分解，解决了高频段分辨率低的问题； 并提出了一个基于偏斜度的高斯判别准则，用于对小波包分解系数进行高斯性检验，最终得到了 小目标的精确检测-The wavelet packets were applied to decompose the image into pyramid subbands at different scales and solve the problem of the high
base-paper2
- Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to aff
06112200_2013
- Turbo codes have recently been considered for energy-constrained wireless communication applications, since they facilitate a low transmission energy consumption. How- ever, in order to reduce the overall energy consumption, lookup table-log-BCJR
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- EEMD skillfully solves the mode mixing problem by adding a white noise to the original signal. (3) The synthetic signal example reveals the remarkable ability of EEMD to decompose the signal into different IMFs and analyze the time–frequency distribu
LMD
- 局部模态分解，具有良好的信号分解能力，不会产生模态混叠现象。-Local mode decomposition, has a good ability to decompose a signal, no modal aliasing.
db4
- 用db4 小波对一幅图像进行二维2 尺度分解后 在不同方向上获得其重构图像。-The image is reconstructed in two directions by using db4 wavelet to decompose an image in two directions.
icacode
- ica matlab code which written recently.ICA is a statistical method, the goal of which is to decompose given multivariate data into a linear sum of statistically independent components
Empirical-wavelet-transform
- 最近的一些方法，如经验模式分解 （EMD），提出将信号分解 其包含的信息。尽管它的适应性似乎 对于许多应用程序，这种方法的主要问题 是它缺乏理论。本文提出了一种新的方法 建立自适应小波。主要的想法是提取不同 设计适当的小波滤波器组的信号模式。 这种结构导致我们到一个新的小波变换，称为 经验小波变换。许多实验 显示此方法相比经典的有用性 EMD-Some recent methods, like the Empirical Mode Decompositio