Questions tagged [decomposition]
The concept of signal decomposition relates to the need to separate one component from the others in a signal; this can be achieved through a filtering operation which require a filter design stage.
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Slow Down Music Playing While Maintaining Frequency
Playing a piece of music audio at a slower speed would lower its pitch (frequency). Is there a tool and theory to slow down the song playing while keep the frequency the same? I suppose one can do ...
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1answer
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I and Q Channels
My understanding of I and Q channels is as follows (please correct me if I am wrong):
I = In-phase, or real component
Q = ...
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1answer
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Decomposition of a signal to slow and fast components
I am currently recording biological responses which are triggered by different events. The figure below shows the original signal (black) and the occurrence of input events (colored dots). There is ...
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Intuitions on Kumaresan-Tufts algorithm for exponential fit
I am analyzing a transient signal presumably consisting of superposed exponentials. Such a case is indicated for the Prony analysis, but my data aren't noiseless enough, so I have turned to the ...
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1answer
527 views
Calculating an incoherence property from sub-optimal sampling patterns
EDIT (after comments and subject matter review)
CS is based on a choice of a sensing basis $\Phi$ relative to a representation basis $\Psi$. Using an "Incoherence Property" $\mu$ that measures the ...
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1answer
252 views
Extract approximation and detail coefficients
I am a student and would like to know how to extract the approximation and detail coefficients (A5, D5, D4, D3, D2 and D1) after an applied DWT decomposition dB5 (Daubechies 5, level = 5)?
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Does the EEMD (Ensemble Empricial Mode Decompsition) also reduce the sensitivity to noise?
EEMD (Ensemble Emprical Mode Decomposition) was introduced to improve the problem of mode mixing and mode splitting of the classical EMD (Emprical Mode Decomposition).
How much does the EEMD reduce ...
