Routines (by topic) > Signal Processing

# Signal Processing

A_CORRELATE - Compute the autocorrelation.

BLK_CON - Convolve an input signal with impulse-response sequence.

BUTTERWORTH - Return the absolute value of the low-pass Butterworth kernel.

CANNY - Implement the Canny edge-detection algorithm.

C_CORRELATE - Compute the cross correlation.

CONVOL - Convolve two vectors or arrays.

CONVOL_FFT - Compute the convolution of an image using a product of Fourier transforms for speed.

CORRELATE - Compute the linear Pearson correlation.

DIGITAL_FILTER - Calculate coefficients of a non-recursive, digital filter.

FFT - Return the Fast Fourier Transform of an array.

FFT_POWERSPECTRUM - Return the Fourier Power Spectrum of an array.

GAUSS_SMOOTH - Smooth data using a Gaussian kernel. Also known as a Gaussian blur, it is typically used to reduce noise and detail in an image.

GAUSSIAN_FUNCTION - Create a Gaussian kernel used in convolution.

HANNING - Create Hanning and Hamming windows.

HILBERT - Construct the Hilbert transform.

INTERPOL - Perform linear interpolation on vectors.

IR_FILTER - Perform the infinite or finite impulse response filter on data.

LEEFILT - Perform the Lee filter algorithm on an image array.

M_CORRELATE - Compute the multiple correlation coefficient.

MEDIAN - Return median value of an array or applies a median filter.

P_CORRELATE - Compute the partial correlation coefficient.

R_CORRELATE - Compute the rank correlation.

SAVGOL - Return coefficients of the Savitzky-Golay smoothing filter.

SMOOTH - Smooth with a boxcar average.

TS_COEF - Compute the coefficients for autoregressive time-series.

TS_DIFF - Compute the forward differences of a time-series.

TS_FCAST - Compute the future or past values of stationary time-series.

TS_SMOOTH - Compute the moving averages of a time-series.

WTN - Return wavelet transform of the input array.

WV_CWT - Compute the continuous wavelet transform.

WV_DWT - Compute the discrete wavelet transform.

WV_PWT - Compute the partial wavelet transform.