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330
- 提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特 征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景 信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识 别, 结果与实际情况相符。-Signal implicit characteristic of phas
matlab
- 随机共振在弱信号中的检测研究matlab源程序-Stochastic resonance in weak signal detection matlab source
LFMpipei
- 弱信号检测中，LFM信号经过匹配滤波器的应用-Weak signal detection of LFM signal in the application of matched filter
shuangpu
- 本附件包含在matlab环境下双谱分析源码的m文件，除了高阶谱，是用的比较广泛的一种。主要用于TDOA及弱信号检测等。可以动手下载后在matlab下运行之。和我前次发的高阶谱分析帖子一样，是要手动加入matlab高阶谱工具箱！ -This annex is included in the matlab environment bispectral analysis of source code of m documents, in
C
- 基于MSP430的采集系统设计 1．基本要求 （1）放大器将DDS输出的弱信号放大至2-3V，其中增益可调； （2）带通滤波器：通带为300~4kHz ； （3）ADC：采样频率f s＝40kHz，字长＝8位,使用MSP430内部ADC （4）要求将采集的波形通过液晶屏予以显示，并在液晶屏上显示横轴和纵轴 -MSP430-based acquisition system 1. Basic requireme
zz
- 强噪声背景下弱信号检测，采用平衡式取样积分电路。包含电路原理，基于IAR的msp430f149的DDS脉冲程序和峰值检波程序，检波方法：sqrt(Acos^2+Asin^2)-Strong noise weak signal detection, the use of balanced sampling integrator circuit. Contains circuit theory, based on the IAR msp43
bistablePsyetem
- 随机共振运用于弱信号检测，同时对于其中的频谱能够很好的分析。-Weak signal detection applied to stochastic resonance, while for the spectrum which can be a good analysis.
Navigator-GPS-Receiver.
- GPS接收机的弱信号接收处理技术，给出了设计方案，很有技巧性。-Navigator GPS Receiver for Fast Acquisition and Weak Signal Space Applications
GPS03
- 以弱信号环境下高性能 GPS 接收机为出发点，围绕接收机的高灵敏度捕获及码片内多径分离技术展开了研究-In weak signal environments high performance GPS receiver as a starting point, high-sensitivity receiver around the chip capture and separation technologies multipath ca
Weak-Signal-Extraction
- 从高噪下提取微弱信号是工程中在信号预处理中很重要的一个分支。故该课题要求同学在分析弱信号的特点基础上，研究不同算法在弱信号检测上的优缺点-Extract weak signals from noisy signal preprocessing engineering in a very important branch. Therefore, the subject requires students to analyze the ch
GPS-algorithm
- 弱信号GPS接收机的捕获算法的研究方法和实现-Weak signals of GPS receiver capture research method of the algorithm
gps(available)
- 实现弱信号条件下的检测，可以检测到较低信噪比条件下的信号。-weak signal decetion
EEMD
- EEMD用于信号处理，将复杂信号分解为多个IMFS,可用于弱信号的监测-Ensemble Empirical Mode Decomposition
sr
- 随机共振检测弱信号，a_b_f是主程序，sr是rk4算法，模拟双势阱中粒子运动-Stochastic resonance detection of weak signals, a_b_f is the main program, sr is rk4 algorithms, simulated double potential well of particle motion
paper1
- 采用遗传算法的自适应随机共振系统弱信号检测方法研究-Adaptive stochastic resonance system weak signal detection method using genetic algorithms
paper5
- 弱信号检测领域中随机共振的理论及应用研究-Theoretical and applied research in the field of weak signal detection stochastic resonance
paper1
- 随机共振方法在弱信号检测中的应用.pdf-Application of stochastic resonance in weak signal detection
SR
- 可以熟悉随机共振在微弱信号处理方面的具体应用，对弱信号检测提供了一种新的方法-Can be familiar with stochastic resonance in weak signal processing specific applications, for weak signal detection provides a new approach
a_b_f
- 基于随机共振产生的条件为：一是小信号频率足够小，二是弱信号的幅值不能大于-The two barrier simulation of stochastic resonance
LMSspectral-analysis
- 在同时存在强信号和背景噪声时，用自适应谱增强器用于谱分析，检测弱信号。本程序利用LMS算法实现了弱信号的检查。-Adaptive spectrum enhancer for spectral analysis