Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [signal-processing]

Numerical analysis of a digitized signal

Signal processing refers to operations on the measurement and analysis of time and spatially varying signals where a signal is defined as a function that contains numerical information about the behaviour or attributes of some phenomenon.

While signals can be analog (i.e. continously measured quantities) the field is generally defined by the numerical analysis of digitally sampled signals, also referred to as digital signal processing (DSP).

Common applications of signal processing are in machine learning and communications.

References:

  1. Steven M. Kay, Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory. ISBN-13: 978-0135041352
  2. Oppenheim, Alan V. Schafer, Ronald W. (1975). Digital Signal Processing. Prentice Hall. ISBN 0-13-214635-5.
328 questions
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How can I quantify the phase/amplitude relationship between two signals?

I have two signals A and B. I want to show that high amplitude events in B are phase locked to oscillations in signal A. I have already identified candidate events signal B. I estimate phase_of_A using the angle of the hilbert transform of A,…
slayton
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Mathematical technique to find activity windows in a moving average plot

I have some raw data that comes from a simulation. I take the sample points, and produce a moving average variable, and plot it against time. So imagine a signal that has peaks and valleys. The peaks represent periods of high activity, and the…
user2098308
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Peak detection in a ucontroller using FFT

A project I am working on currently is to create a heart beat sensor using a finger plethysmograph. It returns a signal to my ucontoller that only includes positive peaks. For example, the ideal signal it will sent to my ucontroller would be 1 1 1 5…
maknelly
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How to detect the change points in a signal?

I have a signal that I obtained by computing the pixel-based-sum of the difference between consecutive image frames in a video. Basically, I want to detect whenever there is a lack of continuity between two scenes. The signal structure seems to…
user2808118
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Singular spectrum analysis and their "eigentriplets"

I am struggling to understand why eigentriplets arise when decomposing a signal by using singular spectrum analysis (SSA). The term eigentriples refers to the components of a singular value decomposition (U, S, V). When the reconstructed component…
Tino D
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I need a new and improved DFT

The traditional Discrete Fourier Transform (DFT) and its cousin, the FFT, produce bins that are spaced equally. In other words, you get something like the first 10 hertz in the first bin, 10.1 through 20 in the second, etc. However, I need something…
Brannon
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How to specify exact rise-to-peak and decay-to-baseline times in an exponential function, generating a waveform?

I am attempting to model the fluorescent signal emitted by a fluorescent calcium indicator (lights up when there is calcium influx into a cell). According to [1], the following formula works as a workable approximation, under certain…
mowe
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Getting rid of sparks in sample data

Possible Duplicate: Simple algorithm for online outlier detection of a generic time series Getting rid of spikes in sample data How could I get rid of sparky (aka spikey) data in a discrete data set, but in a "smoother out" manner? Take for…
Flavius
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Time alignment of two signal with same length

I have found information about similar topics, but wasn´t useful for me. I have the next 2 signals registered by a laser profilometer. As can be seen in the picture the signals are almost equals but are not in phase. What i need is to displace the…
Billy Knife
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