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Routines for Signal Processing


Below is a brief description of IDL routines for signal processing. More detailed information is available in the IDL Reference Guide.

Routine
Description
Computes autocorrelation.
Convolves input signal with impulse-response sequence.
Computes cross correlation.
Convolves two vectors or arrays.
Computes the linear Pearson correlation.
Calculates coefficients of a non-recursive, digital filter.
FFT
Returns the Fast Fourier Transform of an array.
Creates Hanning and Hamming windows.
Constructs a Hilbert transform.
Performs linear interpolation on vectors.
Computes multiple correlation coefficient.
Returns the median value of an array or applies a median filter.
Computes partial correlation coefficient.
Computes rank correlation.
Returns coefficients of Savitzky-Golay smoothing filter.
Smooths with a boxcar average.
Computes the coefficients for autoregressive time-series.
Computes the forward differences of a time-series.
Computes future or past values of a stationary time-series.
Computes moving averages of a time-series.
WTN
Returns wavelet transform of the input array.


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