Questions tagged [smoothing]
Smoothing a signal or data set approximates the data to reveal patterns and exclude noise, fine-scale structure and rapid changing phenomina.
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Removing rotational frequencies from a signal
I have a torque signal from an experimental adapter which measures based on strain gauges. Turns out that my signal presents very strong oscillations at the same frequency of rotation, which very like ...
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Smoothing Filter on Signal
With python scipy I am processing (in real time) chunks of 250,000 each a CW pulsed beep radio signal in python from a RTLSDR. The signal after some basic processing and decimation is 9995 samples ...
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Equalizing Standard Deviations of Sequences through Smoothing
I have several sequences with varying standard deviations, and I want to smooth them so that each sequence has approximately the same standard deviation, which I've predetermined.
I'm open to any ...
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Smoothing sensor signal with discontinuities on DSP for obtaining signal derivative
I am trying to implement PID control on a sensor signal that has many discontinuities in it. Due to these discontinuities, the differentiated signal does not provide a meaningful or useful signal I ...
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measuring delay introduced by filter
I am trying to measure the delay introduced by smoothening filters to my data, including a double-exponential smoothening filter. I run my series data through this function:
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Identify the smoothing filter from boundary pattern
I have a collection of discrete timeseries, which has already been smoothed temporally. However, the smoothing operation does not consider the boudary properly, and results in obvious distortion. I ...
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Smoothing filters on levels of a time series versus discrete derivative
I have some mortgage data and I am trying to detect when a borrower refinances. To do so, I use a moving average filter to smooth my data and then I run a Bai and Perron (1998) structural break test ...
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Smooth envelope of an aperiodic signal
I have a signal that looks like this:
Red line is the function I'd like to obtain somehow. Everything <= -60 is basically absent data (i.e. not low signal).
If I understand correctly, Hilbert ...
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Smoothing clicks when scrubbing/seeking through the audio
I have a buffer of N samples from which I'm playing a loop of L samples (L <= N) starting from sample S. The reading position is calculated as (S + P) % N where P is current playhead position which ...
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Approximating fractional-octave Gaussian smoothing with non-causal variable-width IIR filters
I am trying to implement fractional-octave smoothing of amplitude response data with approximated Gaussian filters, as briefly discussed in this AES paper.
Unfortunately, no implementation details are ...
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Which audio smoothing algorithm has the lowest latency?
I am working on an audio smoothing project. My inputs are from a record scratching MIDI controller, and I am trying to produce a smooth output (the raw data creates noisy audio).
I'm using a simple ...
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Tap and Impulse Response of MATLAB Filter
This is a simplified version of the Savitzky-Golay MATLAB functions (sgolayfilt, sgolay).
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The Effect of the Finite Radius of Gaussian Kernel
Page 168 of Digital Image Processing, Global Edition says:
we know that the values of a Gaussian function at a
distance larger than 3𝜎 from the mean are small enough that they can be ignored.
If we ...
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The Effect of the Order of Downsampling and Smoothing on the Output
How do I prove or disprove:
Smoothing an image with a 3x3 filter using full convolution and then downsampling an image by 2 produces the same result as downsampling an image by 2 and then applying ...
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