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wave_neural_crossvalind
- 应用连续小波变换对脑机接口（BCI）信号处理，进入神经网络分类，包括BP网络和LVQ网络-continuous wavelet transform application of brain-machine interfaces (BCI) signal processing, neural network access classification, BP network including network and LVQ
Wavelet-transform
- 原始信号是含有奇异点的信号，为确定该奇异点的时间，采用haar小波进行连续小波变换后，在对系数进行分析处理。-The original signal is containing singular point of the signal, in order to determine the singular point time, adopting haar wavelet to continuous wavelet transform, the coefficients in analyzed
WaveletClassLib
- 一个多维离散小波变换类代码。这个类可以分析的多维输入信号和处理后合成它。输入信号可以是一维信号（例如一个波），二维信号（如图像）或多维信号。 - a class of multidimensional discrete wavelet transform. This class can analyze the multidimensional input signal and synthesize it after process. The input signal can be
ewt
- 经验小波变换，一种新的自适应信号处理方法-Empirical wavelet transform, a new adaptive signal processing method
IUQCWY
- 小波变换在语音和生物医学信号处理中的应用 小波变,-Wavelet transform in speech and biomedical signal processing, the application of wavelet change,
speech__traksform
- 小波变换在语音和生物医学信号处理中的应用 小波变,-Wavelet transform in speech and biomedical signal processing, the application of wavelet change,
wind power forecasting based on EWT-KELM
- 针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learning machine combination predicti