搜索资源列表
Instantaneousspectralanalysis
- 谱分解快速算法,有助于地震信号的时频分析处理。-Fast Algorithm for spectral decomposition, contribute to seismic signals time-frequency analysis of the treatment.
AR_spectrla_analysisissatisfactory
- 本文主要介绍在PCI图像采集系统的基上,由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数,采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。 -This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
mmsp08
- Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic methods and spectral methods. However, most of them are not able to accu
mypaper4
- To fully utilize the character of the bioradar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysis are presented in this paper. These methods are employed to deal with no one, single people and multi-people
08-NTAV-SPA_165_Marciniak-Rochowniak-etal
- In this paper we propose a method for voice activity detection (VAD) in a speech signal recorded in the presence of noise. The so-called endpoint detection (EPD), i.e., detection of voice activity (speech) boundaries is very difficult if the
sensing-images
- 模糊分析的方法是用均一表面不确定性对原始图像进行模糊纹理滤波, 在滤波图像上计算空间均一不确定性,对不确定性进行模糊纹理光谱分析, 其光谱曲线直观地反映了多光谱遥感图像的纹理特征 通过采用不同的测量窗口,在不同的类别提取纹理样品进行实验。研究结果表明:多光谱遥感图像在小区域纹理特征不稳定,不同波段的纹理特征不同,不同类别的最小测量区域不同 模糊纹理分析的方法可用于图像分割。-Fuzzy analysis is to use a uniform surface uncertainty on the
wavelet-packets-analysis
- 针对风力发电机组传动系统故障时特征量提取困难的问题,提出了改进的小波包结合包络谱的故障诊断新方法。深入研究了小波包频带错乱的问题,对小波包实施了改进,消除了频带错乱的缺陷-In view of the wind turbine drive system characteristics, failure and difficult problems, puts forward the improved wavelet packet combining spectral envelope, a ne
2005-Spectral-Analysis-of-Signals
- 原版英文,频谱分析的经典专业著作,Petre Stoica 和 Randolph Moses的专著。对信号处理方面来说非常值得看。-Petre Stoica and Randolph Moses Spectral Analysis of Signals
[first_author]_2014_Digital-Signal-Processing
- This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform
Random-Matrix-
- 电网暂态分析是保证电网稳定运行的重要手段。随着电网广域测量系统(wide-area management system, WAMS)的发展,电网形成了具有时空特性的高维海量运行数据。传统的电网暂态分析采用物理模型,用严格的数学公式关联维度之间数据,这种模型不能充分利用海量电网运行数据,造成资源浪费。从数据驱动的角度,首先分析 WAMS 数据的应用情况,考虑电网运行数据特点建立数据模型。然后利用随机矩阵理论(random matrix theory, RMT) 建立平均谱半径(mean spect
