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Multistep-Wind-Speed-Forecasting-Based-on-Wavelet
- Considering the randomness and volatility of wind, a method based on B-spline neural network optimized by particle swarm optimization is proposed to predict the short-term wind speed
QRS-wave-group-detect
- 用连续小波对信号进行多尺度变换，选择合适的小波系数，采用模极大值检测RQS波群。-Using continuous wavelet multi-scale transform of signal, the appropriate wavelet coefficients, using modulus maxima detection RQS wave group.
fenjieceng
- 对四层二维离散小波进行信息熵计算，通过对比低频子带信息熵的差值求解最佳分层数，希望对大家能有所帮助-For four-dimensional discrete wavelet information entropy calculated by comparing the difference between the low-frequency sub-band information entropy solving optimum number of layers, in the hope th
Wavelet-Entropy
- 通过小波熵处理多年的降水量，求得最大值，最小值，并预测降水趋势-Through years of precipitation wavelet entropy process, and seek maximum, minimum, and predicted precipitation trends
packet-wavelet
- This code use for image texture classification use packet wavelet first level
wavelet_test_animation
- 对于振动传感器采集的数据，利用小波变换，得到数据时频的动画。-For vibration data collected by sensors using wavelet transform to obtain frequency data animation.
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
waveletkernel
- 这是一个小波核函数工具包，可根据需要的核函数公式构建自己所需的核，可用于核学习方法。-The wavelet kernel function is a toolkit, can according to need to build your kernel function formula for nuclear, and can be used to study method.
Wavelet-Packet
- 基于混合信号的小波包分解技术在故障特征提取中的应用-Feature Extraction Using Multisignal Wavelet Packet Decomposition
小波包能量谱
- 用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)