1)  transient signal processing

1.
This paper outlines the application of wavelet analysis and mathematical morphology in transient signal processing for power system faults based on the introduction of the fundamental theory, mainly including the transient signal detection of the transmission line fault, early detection and diagnosis of the fault of generator, transformer and motor.

2.
The idea and design of transient signal processing in optical fiber voltage transformer are described.

2)  transient signal

1.
Power system transient signal analysis based on AOK TFR;

2.
Power spectral estimation of power system fault transient signal;

3.
The Method of Detection on Transient Signal in Stationary Random Noise;

3)  transient signals

1.
To distinguish fault transient signals from non-fault transient signals, on the basis of researching various transient signals and their characteristics the authors establish an EMTDC model to simulate 500kV transmission line.

2.
Utilizing the time-frequency localization ability of wavelet analysis,on the basis of multi-scale expression of transient signals,the concept of wavelet energy entropy(WEE)for feature extraction is defined;integrating WEE with fuzzy logic,a new method to select faulty phase is formed.

3.
Based on multi-scales expression and the definition of two post-analysis methods (energy statistic and wavelet entropy), the EMTDC simulated models were built about five transient signals including single phase grounding, switch operating, capacitor.

4)  Transients signal

5)  homomorphic signal processing

1.
In order to solve the problem that multiplied signals cannot be separated by a linear filter,this paper is intended to investigate and examine the principle and approach for designing a generalized linear filter by developing a way of realizing homomorphic signal processing of multiplied signals on LabVIEW.

6)  Instanta neous signal processing

 同态信号处理homomorphic signal processing   用同态系统进行信号处理。同态系统是服从广义叠加原理、在代数运算上可用输入和输出的矢量空间之间的线性变换来表征的非线性系统。在信号处理中，常需从带有噪声的信号中提取原始信号。一般用滤波处理方法滤除或削弱噪声干扰以及其他不需要的信号。对于叠加性组合信号，可用线性滤波器将它们分离开。对于实用中常见的非叠加性组合信号（如乘积性信号和褶积性信号），靠线性滤波器分离或处理这些信号分量往往是无效的，这时应采用非线性滤波，即要用同态滤波处理系统进行信号处理。在输入输出运算相同的情况下，同态系统可分为相乘信号的同态滤波处理和褶积信号的同态滤波处理两种。在许多实际问题中，信号为两个或多个分量的乘积（如在有衰落的传输信道中，衰落效应可看作一个缓变分量和传输信号相乘）。对这类相乘信号，如用线性系统来分离信号各成分或单独地改善某一信号成分往往是无效的。但利用相乘信号的同态滤波处理，就可以取得较好的滤波效果。在多径或混响环境中进行通信、定位或记录，产生失真的效果可以看成是干扰与所需信号的褶积，对这类信号可用褶积信号的同态滤波处理。在语音、图像、雷达、声呐、地震勘探以及生物医学工程等领域中，同态信号处理获得广泛的应用。