Functions
- convolve(list<float64>, list<float64>)
- The convolve function generates the convolution of two time series input signals.
- crosscorrelate(list<float64>, list<float64>)
- The crosscorrelate function generates the crosscorrelation of two time series input signals.
- dtw(list<float64>, list<float64>)
- This function uses dynamic time warping (DTW) to measure the similarity between two time series.
- dtw_itakura(list<float64>, list<float64>, int32, float64)
- This function computes the Itakura Parallelogram DTW.
- dtw_sakoe_chiba(list<float64>, list<float64>, int32)
- This function computes the Sakoe-Chiba Band based DTW.
- generate_pulsetrain_wave(float64, uint32, float64, uint32)
- Generates a pulse train representation of a time series, with a specified frequency, duration, sampling rate, and hump size.
- generate_sawtooth_wave(float64, uint32, uint32)
- Generates a sawtooth wave representation of a time series, with a specified frequency, duration, and sampling rate.
- generate_sine_wave(float64, uint32, uint32)
- Generates a sine wave representation of a time series, with a specified frequency, duration, and sampling rate.
- generate_square_wave(float64, uint32, uint32)
- Generates a square wave representation of time series with a specific frequency, duration, and sampling rate.
- generate_triangular_wave(float64, uint32, uint32)
- Generates a triangular wave representation of a time series, with a specified frequency, duration, and sampling rate.
- laggedConvolve(list<float64>, list<float64>, enum{STANDARD, FFT})
- The laggedConvolve function generates the convolution of two time series input signals.
- laggedCrosscorrelate(list<float64>, list<float64>, int32, enum{STANDARD, FFT})
- The laggedCrosscorrelate function generates the lagged crosscorrelation of two time series input signals.
- lcss(list<float64>, list<float64>, int32, float64)
- This function computer the longest common subsequence (LCSS) between two time series.
- lpNorm(list<float64>, list<float64>, float64)
- This function computes the Lp distance between two time series.
- rms(list<T>)
- The rms function generates the root mean square value from a list of numerical values.