| 1. | Transient signal detection ofeeg based on wavelet transform
基于小波变换的脑电瞬态信号检测 |
| 2. | Transient signal in chaos detection based on rbf neural network
神经网络的混沌背景下瞬态弱信号检测 |
| 3. | Study of transient signal denoising based on multi - wavelet analysis
基于多小波分析的暂态信号去噪方法研究 |
| 4. | Transient signal analysis software for chromatograph or laser system application
3瞬间信号分析软件以便与色谱或激光进样系统等连用。 |
| 5. | Some commonly used methods used for the detection of transient signal ' s arriving point are introduced briefly
介绍了常用的几种瞬态信号波至点检测方法。 |
| 6. | The method of detection on transient signal by the slice of cyclo - bispectrum in stationary random noise is proposed in this paper , simulation results are presented also
摘要提出一种在平稳随机噪声中检测暂态信号的循环双谱切片方法，同时给出仿真结果。 |
| 7. | In chapter 5 we will introduce the different noise , and you will know why and how we should transient signal denoise , you will also find some examples of transient signal denoise
第五章介绍了噪声以及小波消噪的目的、原理、方法并给出了小波消噪的例子。 |
| 8. | Aimed at the property of transient signal such as the short - time characteristic , energy - concentration and so on , it makes a preliminary exploration to the measurement of transient signal " s parameters
针对瞬态信号短时段、能量集中等特点，对瞬态信号的参数检测进行初步的探索。 |
| 9. | Plenty of experiments show the real , imaginary , module and angle of wavelet transform can accurately choose the fault line and precisely identify the high frequency of transient signals
通过大量的实验，表明利用小波变换后的实部、虚部、模值以及相角可以准确的给出故障线路并高精度的提取故障信号的暂态高频分量。 |
| 10. | This thesis put particular emphasis on the study and application of continuous wavelet transform to the detection of transient signal ' s arriving points . the main works and contributions in this thesis are as follow
本文对连续小波变换在瞬态信号波至点检测中的应用进行了研究，其主要内容可以分为以下几个方面。 |
