FK_Transform 实现f-k变换

用小波神经网络变换对时间序列信号进行预测，并做了测试，效果很好，请参考(Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to)

主要是用于心电信号的去噪，对于噪声下的微弱电信号的一种提取(For ECG denoising, extract a weak signal in the noise)

说明：  用于求取小波包变换后小波系数的熵值，对初学者很有帮助(Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners)

Fast wavelet transforms and numerical algorithms 1

Wavelet compression algorithm. Start by computing a complete wavelet-transform using the cohen-daubechies-fevereau (2,2) biorthogonal wavelet (which incidentally seems to be the same as used for lossless JPEG2000, but they call it a (5,3)?).

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基于小波变换的信号奇异性检测，小波模极大值的计算(The signal singularity detection based on wavelet transform )

说明：  基本的S变换matlab实现 用于时频分析 为初学者提供基本代码(S transformation for time-frequency analysis to provide basic code for beginners)

基于小波变换的电压暂降定位 利用模极大值原理实现暂降起止时刻的准确检测(voltage sag lacote based on wavelet transform Used to achieve maximum modulus principle sag beginning and ending time of the accurate detection)

一篇很好的小波变换英文入门资料，附有注释，对想了解小波变换的初学者十分有益。(A good wavelet transform introductory information in English, annotated, very useful for beginners want to learn wavelet transform.)