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svm_v0[1].55beta.tar
- 用于进行所谓的支持向量机的分析，关键是对信号进行分类，用于处理非线性非平稳信号-used for the so-called support vector machines, the key is the signal classification for handling nonlinear non-stationary signals
adpcm
- 该算法是根据自适应差分脉冲编码调制原理编写的算法，该算法利用了语音信号样点间的相关性，并针对语音信号的非平稳特点，使用了自适应预测-The algorithm is based on principles of adaptive differential pulse code modulation written algorithm, which samples the voice signal using the correlation between, and for non-station
stft
- 短时傅立叶变换C++程序的实现，短时傅立叶变换（STFT）是研究非平稳信号最广泛使用的方法-Short-time Fourier transform C++ program implementation, short-time Fourier transform (STFT) is the study of non-stationary signals the most widely used method
Hilbert-Huang
- 该变换方法对于分析非线性，非平稳信号十分有效-This transform method to analyze the nonlinear, non-stationary signal is very effective
Multicomponent-Signals-
- 多重非平稳信号的瞬时频率估计，用时频的方法，比较新的英文文献。-Instantaneous frequency estimation of multiple non-stationary signals using time-frequency methods, the new English literature.
eemd
- 总体平均经验模态分解适合于分析非线性、非平稳信号序列，具有很高的信噪比。-The overall average empirical mode decomposition process
National-Taiwan-Central-University
- EMD（经验模态分解）程序，用于将非平稳信号分解为一系列不同频率的分量，以方便对信号进行分析。-EMD (empirical mode decomposition) program for the non-stationary signal is decomposed into a series of different frequency components, in order to facilitate the analysis of the signal.
lmd2
- LMD（局域均值分解）程序。与经验模态分解的思想相近，是一种较新的处理非平稳信号的方法，但LMD方法的端点效应更小些。-LMD (local mean decomposition) program. And empirical mode decomposition similar idea, is a relatively new method for non-stationary signals, but the end effect is much smaller LMD method.