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1)  cyclostationary analysis
循环平稳分析
1.
Aiming at the key issue of electronic warfare, feature extraction and fusion recognition of radar emitters based on cyclostationary analysis are proposed in this dissertation.
针对雷达对抗信号处理研究工作中的关键问题,本文研究了基于循环平稳分析的雷达辐射源特征提取与融合识别。
2)  cyclostationary
循环平稳
1.
The principle and application of cyclostationary analysis for demodulation of amplitude modulated signals;
振动调幅信号的循环平稳解调原理与应用
2.
Separating cyclostationary signals from spectrally overlapping interference;
频谱重叠信号分离的循环平稳算法
3.
Cyclostationary Characteristic Analysis for Narrowband Signal of Rotation Machinery Fault;
旋转机械故障窄带信号的循环平稳特征分析
3)  cyclostationarity
循环平稳
1.
Application of EMD to cyclostationarity fault signal;
经验模式分解在循环平稳故障信号分析中的应用
2.
A Cyclostationarity Based Iterative Algorithm for Chirp Signal Phase ParAmeter Estimation;
一种基于循环平稳的Chirp信号相位参数估计迭代算法
3.
Modulation induced cyclostationarity for separation and identification of MIMO system;
调制引入循环平稳的MIMO系统分离与辨识
4)  cyclostationarity
循环平稳性
1.
In this paper,we discuss the system model in over-sampling channel and the cyclostationarity of oversampled communication signals.
本文讨论了过采样信道的模型,指出了过采样信道的多样性,论述了过采样信号的循环平稳性。
2.
The property of cyclostationarity is recognized to be of great importance to the signal processing community.
噪声背景中周期信号的循环平稳性是信号处理中一个重要的特征。
3.
This paper introduces the cyclostationarity model of DSSS baseband signal,and makes a detailed analysis of the cyclostationarity properties of DSSS signal and BPSK modulated narrowband interference in theory.
从扩频通信接收机等效基带信号的模型出发,分析了接收信号中扩频信号分量和窄带干扰分量的循环平稳性以及接收信号的波特率谱相关性与采样之间的关系,并给出基于频移滤波器窄带干扰抑制接收机的自适应实现结构,理论分析和仿真结果表明,使用频移滤波器的接收机抗窄带干扰性能优于基于线性时不变滤波器的接收机。
5)  degree of cyclostation
循环平稳度
1.
Rotary machine faults diagnosis using the degree of cyclostation;
旋转机械故障的循环平稳度诊断
6)  cyclostationary
循环平稳性
补充资料:平稳随机过程的谱分析


平稳随机过程的谱分析
spectral analysis of a stationary stochastic process

平稳随机过程的谱分析〔spectraia旧卜515 of a sta6..ryst以如昭次P似ess;ene灯p叼‘Ru动an叭H3 eTa双皿oH即-“以c刃叹‘H袱npo”ecc0B],时I’ed序列的谱分析(speetr越analysis of a tjme series) l)与平稳随机过程(stationary stochastic pro-cess)的谱分解相同(见随机函数的谱分解(spectraldecomPosition ofa介Lndom仙Iction)). 2)从一平稳随机过程的一个(或多个)实现的观测数据估计该过程的谱密度值的统计方法(见汇lj一【5 D.亦见随机过程论中的统计问题(statistical pro-blems in the theory of stochastic proeesses):周期图(perlodog旧In);谱密度估计盘(spectral density,esti-Inator ofthe);极大墒谱估计量(宜坦戈山山刀n记ntroPyspectral estunator);参数谱估计量(sPeetral est运u-tor,Paran祖tric).
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