2023.1
Reference guides are available for functions and commands supported by OML, Tcl, and Python.
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
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Discover Compose, including its language support and system requirements.
The Compose tutorials and associated example model files help introduce you to the basic functionality of the software.
Learn about the features and functionality available in Compose.
OpenMatrix is a mathematical scripting language.
Bartlett-Hann window.
Create a normalized Bessel analog lowpass prototype filter in zero-pole-gain form.
Create a Bessel filter.
Blackman window.
Create a normalized Butterworth analog lowpass prototype filter in zero-pole-gain form.
Create a Butterworth filter.
Design a Butterworth filter.
Create a normalized Chebyshev I analog lowpass prototype filter in zero-pole-gain form.
Create a normalized Chebyshev II analog lowpass prototype filter in zero-pole-gain form.
Design a Chebyshev I filter.
Design a Chebyshev II filter.
Dolph-Chebyshev window.
Create a Chebyshev I filter.
Create a Chebyshev II filter.
Generate a chirp signal.
Generate a complex Morlet wavelet.
Compute cross power spectral density.
Downsample a signal.
Acoustic A-weighting function.
Acoustic B-weighting function.
Acoustic C-weighting function.
Acoustic U-weighting function.
Generate the Dirichlet function.
Create an Elliptic filter.
Create a normalized Elliptic analog lowpass prototype filter in zero-pole-gain form.
Design an Elliptic filter.
Fast Fourier Transform.
Two Dimensional Fast Fourier Transform.
N dimensional fast Fourier transform (FFT).
Shift frequency spectrum related vectors to center the dc element
Filter a signal with an IIR or FIR filter.
Perform 2D FIR filtering.
Filter a signal forward and then backward, compensating for end effects.
Locate the peaks of a signal.
Create a digital FIR filter.
Create a digital FIR multi-band filter with a least squares fitting.
Create one-sided spectrum amplitude vectors from the two-sided equivalents.
Generate a vector of frequency locations.
Compute analog filter frequency response values.
Compute digital filter frequency response values.
Generate a sampled Gaussian modulated sinusoidal pulse centered at zero, with a specified center frequency and fractional bandwidth.
Generate a sampled Gaussian monopulse.
Hamming window.
Hann window.
Inverse Fast Fourier transform.
Two-dimensional inverse fast Fourier transform.
N dimensional inverse fast Fourier transform.
Shift frequency spectrum related vectors to uncenter the dc element to the first position.
Compute the impulse response of a digital filter.
Compute analog filter coefficients from frequency response values.
Compute digital filter coefficients from frequency response values.
Inverse Short-Time Fourier Transform.
Kaiser-Bessel window.
Generate a Mexican hat wavelet.
Generate a Meyer auxiliary wavelet.
Estimates the mean squared coherence of time domain signals.
Generate a Morlet wavelet.
Parzen window.
Compute signal maximum to minimum differences.
Compute signal peak to rms ratios.
Generate a pulse train, with the pulse defined either by a function or a sampled pulse.
Computes the power spectral density.
Generate a sampled rectangular pulse centered at zero, with a specified width.
Resample a real signal by a rational factor using a polyphase FIR filter.
Compute root sum squared values.
Generate a sawtooth wave with range [-1,1] and period 2*pi.
Generate a complex Shannon wavelet.
Transfer a designated matrix dimension to the lead position.
Filter a real signal with a second order section IIR filter.
Generate a square wave with range [-1,1] and period 2*pi.
Compute the sinc function.
Short-Time Fourier Transform.
Spectrogram.
Generate a stair step plot.
Estimates the transfer function from time domain signals.
Generate a sampled triangular pulse centered at zero, with a specified width and skew.
Convert quantized integer matrix elements to floating-point values.
Quantize real matrix elements to integer values.
Revert the order of matrix dimensions modified by shiftdata.
Unwrap a vector of phase angles.
Upsample a signal.
Welch window.
Cross correlation, computed over a range of lags.
Cross covariance, computed over a range of lags.
Get help for the optional libraries that are available in the Extension Manager.
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