1.
A Novel Research on Feature Detection of LPI Radar Signals Based on Cyclic Spectrum Analysis
基于循环谱分析的LPI信号特征检测新方法研究
2.
Research on LPI signals feature detection based on parallel filter bank and higher order cumulants
基于滤波器组和高阶累积量技术的LPI信号特征检测的新方法
3.
A Fast Blind Detection Algorithm of Communication Signals Based on Eigenvalue Analysis
基于特征值分析的通信信号快速盲检测方法
4.
On Methodology and Application of Weak Characteristic Signal Detection Based on Stochastic Resonance;
微弱特征信号检测的随机共振方法与应用研究
5.
The Study on the Prediction of Aluminium Electrolysis Anode Effect Based on the Signal Analysis;
基于信号特征分析的阳极效应检测与预报研究
6.
The Study of Weak Signal Detection Method Based on the Chaotic Oscillator s Geometry Characters;
基于混沌系统几何特征量的微弱信号检测
7.
Detection and Characteristic Parameters Estimation of Frequency-Hopping Signal Using Time-Frequency Analysis;
基于时频分析的跳频信号检测与特征提取
8.
Application of Duffing System in Detecting Faint Characteristics Signal Of Structural Damage
杜芬系统检测微弱特征信号的方法及应用
9.
Feature Extraction on AR Model About Ultrasonic Testing of Liquid Signal
基于AR模型对超声检测液位信号的特征提取
10.
Application of Correlation in Detection Faint Characteristics Signal by Phase Changes
相关系数法在相变检测微弱特征信号中的应用
11.
Feature kernel support vector machines for signal detection with reverberation
混响背景中信号检测的特征核支持向量机
12.
Study on signal characteristic extracting technology to monitor the mixing status of polymer
聚合物混合状态检测中信号特征提取技术研究
13.
Study on Detection and Feature Extraction of Weak Fault Signal of Mechanical System;
机械系统微弱故障信号检测及特征提取方法研究
14.
Frequency-Domain Characteristic Research on Ultrasonic Echo of Bonding Quality Detecting of Thin Plate;
薄板粘接质量超声检测回波信号的频域特征研究
15.
Feature Extraction Technique and the Application in Detection of Electric Motor Faults;
信号特征提取技术及其在电机故障检测中的应用
16.
Signal Feature Analysis and NDT Method of Thin-Walled Brazed Weldments with Complex Structure
复杂薄壁结构钎焊接头超声信号特征与检测方法
17.
The Extracting and Analyzing on the Features of Ultrasonic Testing Signal Getting from PE Butt Weld
PE管对接焊缝超声波检测信号特征量提取与分析
18.
Weak signal identification based on chaotic nature of symbol-sequence entropy
基于符号序列信息熵混沌特性的微弱信号检测