高阶统计量,higher-order statistics
1)higher-order statistics高阶统计量
1.Coherency algorithm based onhigher-order statistics and sedimentary evolvement analysis of sandstone bodies;基于高阶统计量的相干体算法及砂体沉积演化分析
2.Applications ofhigher-order statistics to the study of pressure fluctuation signal of gas-solid fluidized bed;高阶统计量在气固流化床中的应用研究
3.Modeling and simulation of wind speed on wind farm by applyinghigher-order statistics;应用高阶统计量对风电场风速建模与仿真
英文短句/例句
1.Blind Estimation Based on Higher Order Statistics for MIMO System;基于高阶统计量的MIMO系统盲估计
2.VaR Risk Measurement Analysis and Research Based on High Order Statistics基于高阶统计量的VaR风险度量和分析
3.Research of Near Field Source Localization Method Based on Higher Order Statistics and Fractional Lower Order Statistics;基于高阶统计量与分数低阶统计量的近场源定位方法研究
4.Infrared Dim Targets Detection Based on High-Order Statistics;基于高阶统计量的红外弱小目标检测
5.Digital Modulation Format Recognition Based on Higher Order Statistics;基于高阶统计量的数字调制方式识别
6.Characteristics of the differential pressure signals of slotted orifice based on higher-order statistics槽式孔板差压信号的高阶统计量特征
7.HOS-based Wavelet Denoising Algorithm基于高阶统计量的小波变换去噪算法
8.Identification and Equalization Algorithm for MIMO System Based on Higher Order Statistics基于高阶统计量的MIMO系统辨识与均衡算法
9.High Resolution Radar Imaging Based on Higher-Order Statistics;基于高阶统计量的雷达目标高分辨成像研究
10.High resolution time-frequency analysis method based on high-order statistics基于高阶统计量的高分辨率时频分析方法
11.Higher-order Statistic Research and Simulation of Gaussian Mixture Models混合高斯模型的高阶统计量研究与仿真
12.Application of Higher-order Statistics Technology to the Measurement of Two-Phase Flow;高阶统计量技术在两相流检测中应用研究
13.Blind Equalization Algorithms Using Higher-Order Statistics for Underwater Acoustic Channel;基于高阶统计量的水声信道盲均衡理论与算法
14.Ship-radiated Noise Reconstruction Using the Higher-order Spectrum;基于高阶统计量特征参数的舰船噪声重构
15.Higher-order Statistics Method Research in Engineering Seismic Data s Characteristic Analysis;工程地震资料特征分析的高阶统计量方法研究
16.Reduction Methods of Seism Data Random Noise Based on Higher-Order Statistics;基于高阶统计量的地震数据随机噪声衰减方法
17.Research on Theory and Algorithm of Blind Equalization Based on High-order Statistics;基于高阶统计量的盲均衡理论与算法研究
18.Higher-Order Statistics and Their Applications to Array Signal Processing;高阶统计量及在阵列信号处理中的应用
相关短句/例句
higher order statistics高阶统计量
1.Identification and source separation algorithm for MIMO system based onhigher order statistics;基于高阶统计量的MIMO系统辨识与信号分离算法
2.A comparative study of blind speech source separation algorithms based onhigher order statistics and second order statistics;基于二阶和高阶统计量的语音信号盲分离算法研究
3.A Weighted Image Hybrid Filter Based on Higher Order Statistics;一种基于高阶统计量的图像混和加权滤波方法
3)high-order statistics高阶统计量
1.Method of embedding dimension estimationbased onhigh-order statistics;基于高阶统计量的嵌入维数估计方法
2.Image recognition method based onhigh-order statistics;一种基于高阶统计量的图像识别算法研究
3.Application ofhigh-order statistics to identify weak seismic signal and "magnetic bright spot".;高阶统计量在地震弱信号及"磁亮点"识别中的应用
4)high order statistics高阶统计量
1.A texture image recognizing method based onhigh order statistics;一种基于高阶统计量的纹理图像识别新方法
2.Using the property thathigh order statistics are not sensitive to Gaussian noise to processing gaussian noise,and can mostly save the image details which greatly dwindling noise.该算法首先对受椒盐噪声污染的像素点,采用自适应中值滤波算法进行去除;然后利用高阶统计量针对高斯噪声的不敏感特性,对受高斯噪声污染的像素点,采用其周围梯度和最小的几个点的灰度平均值来代替其灰度值去除噪声。
3.And how to use thesehigh order statistics in determination of high order correlation and thus in detection .并且通过高阶统计量来衡量这种高阶相关性,及鉴定篡改。
5)Higher-order Statistics (HOS)高阶统计量
1.Higher-order Statistics (HOS) is the primary analysis tool in analyzing non-Gaussian signal and nonlinear signal.高阶统计量是研究非线性和非高斯信号的有效工具，它在信号检测、特征提取以及参数估计等方面具有广泛的应用性性。
2.Higher-order Statistics (HOS) is the primary analysis tools which can be used to analyze noneasual system, nonminimum phase system and nongaussian signal.高阶统计量是研究非因果、非最小相位系统和非高斯信号的主要分析工具。
3.A novel class of analysis tool in signal processing-Higher-Order Statistics (HOS) is presented in this thesis.本文介绍了信号处理中的一种新的分析工具——高阶统计量，并与传统的子宽间旋转不变技术和多重信号分类技术相结合进行波达方向估计。
6)higher order cyclostationary statistics高阶循环统计量
1.Based on the brief discussion to the basic theories of higher order statistics, cyclostationary andhigher order cyclostationary statistics that are related to the modern signal processing, the applications of these theories in mechanical fault diagnosis area is introduced emphatically in the paper, such as the retrieval of harmonic, system identification and feature extraction, etc.在简要介绍现代信号处理中的高阶统计量、循环平稳以及高阶循环统计量理论的基础上 ,重点分析了它们在谐波恢复、系统辨识、特征提取等与机械设备状态监测和故障诊断及其相关领域中的应用 ,指出将高阶循环统计量理论 ,特别是高阶循环累积量和高阶循环谱理论应用于机械设备的状态监测和故障诊断领域具有重要的理论研究价值和实际应用意义。
延伸阅读
分布和特征量统计(见统计分析)分布和特征量统计(见统计分析)fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
