Signal Processing

Smoothing

Origin offers multiple methods to smooth data:

• Savitzky-Golay
• Adjacent-Averaging
• FFT Filter
• Percentile Filter
• Lowess and Loess
• Binomial

The results generated from 50% Percentile Filter smoothing, useful for eliminating noise of abnormal amplitude. The Smooth tool in Origin provides several methods to remove noise, including Adjacent Averaging, Savitzky-Golay, Percentile Filter, FFT Filter, LOWESS, LOESS, and Binomial Method.

Filtering

Filtering is commonly used in signal processing to filter out unwanted features and reveal components of interests.

FFT Filter

Origin supplies a FFT filter tool to select frequency components from an input signal by a specific filter type.

The following filter types are available:

• Low Pass
• Low Pass Parabolic
• High Pass
• Band Pass
• Band Block
• Threshold

IIR Filter Design PRO

Origin supplies an Infinite Impulse Response (IIR) filter to allow users design, analyze, and implement custom IIR digital filters.

A preview wizard is provided to enable real-time visualization of specified parameters and corresponding results.

The following filtering methods are available:

• Butterworth
• Chebyshev Type I
• Chebyshev Type II
• Elliptic

2D FFT Filter PRO

Origin supplies a 2D FFT filter to select desired frequency components from 2D signals in matrices.

The filters first perform a two-dimensional fast Fourier transform (2D FFT), then apply a frequency-domain filter window, and finally perform a 2D IFFT to convert them back to the spatial domain.

The following window types are available:

• Butterworth
• Ideal
• Gaussian
• Blackman

and there are four ways to specify a cutoff:

• Fraction
• Fourier Pixel
• Wavelength
• Frequency (Hertz)