1.
In this paper a way of using signal's self-correlation output's envelop to detect PC radar signal is put forward.
提出了一种利用自相关输出的包络特征检测、别脉压雷达信号的方法。
2.
The characteristic parameters in the time-domain are obtained by applying Gauss wavelet to envelope analysis (EA).
利用高斯小波进行解包络分析，提取包络分析的时域特征参数。
3.
CHARACTERS OF S-WAVE ENVELOPE BROADENING IN CHANGBAISHAN TIANCHI VOLCANO
长白山天池火山区S波包络展宽的特征
4.
Spectrum line based modulation classification for constant modulus digital modulation signals
基于谱线特征的恒包络数字调制方式识别方法
5.
Knapsack-problem optimization algorithm based on complex network
基于复杂网络特征的背包问题优化算法
6.
LCA consists of three aspects as below : Initial Ability Analysis;
分析网络大学生的特征包括三个方面：学习者初始能力的分析；
7.
Structure Analysis of Propeller Radiated-noise DEMON Spectrum Feature
基于模型的舰船辐射噪声包络谱谐波族特征结构分析
8.
Designing and Implementation of Analysis Tool for Some Features of IP Network Packet Flow
IP网络数据包流部分特征分析工具的设计与实现
9.
Applying Singular Value of IMF Envelope Matrix to Extract the Characteristics of Mechanical Failures
应用IMF分量包络矩阵的奇异值提取机械故障特征
10.
Feature Extraction and Auto-sorting to Envelope Function of Rotation Angle α Domain of Radar Signals Based on FRFT
基于FRFT的α域-包络曲线的雷达信号特征提取及自动分类
11.
envelope delay scanner
包络延迟特性扫描器
12.
involving or characteristic of conceptualism.
包含或具有概念论特征。
13.
Spectral Inclusion Regions of Partitioned Matrices and Inclusion Regions of Inhomogeneous Eigenvalue;
分块矩阵特征值包含域和非齐次特征值包含域
14.
Fingerprint matchingincludes feature extraction, feature code and minutiae matching.
指纹特征匹配包括指纹特征提取，特征编码以及特征匹配等。
15.
Study on Characteristics of sEMG Change during the Process of Muscle Fatigue Using Wavelet Packet Transformation and Artificial Neural Network
小波包分析与人工神经网络相结合探索运动性肌肉疲劳过程中sEMG变化特征
16.
A Study on Changing Trend and Regional Character of China's Service Industry Productivity--An Empirical Analysis Based on DEA
中国服务业生产率的变动态势及区域特征分析——基于数据包络分析方法的实证研究
17.
Internet-related Behavior Characteristics of Adolescents with Internet Addiction
网络成瘾青少年的网络相关行为特征
18.
Feature Selection Based on Feature Fuzzify and Neural Networks;
基于特征模糊化和神经网络的特征选择