Questions tagged [power-spectral-density]
The Power Spectral Density (PSD) is the distribution of signal power over frequencies.
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PSD calculation from FFT does not match with the value from scipy.signal.welch
Please help understand why the PSD calculation from FFT does not match with the value from Scipy signal.welch function.
According to Understanding Power Spectral ...
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Relative energy vs. magnitude of spectrum
BACKGROUND
I have several spectra, one each 32 ms, each 256 bins 0-4 kHz, sampled at 16 kHz.
I listen for recorded sounds of 32 spectra each, ie. 1024 ms. I pick out the three strongest magnitudes, ...
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1/ f noise of PSD behavior in Amplitude Spectrum Density
I‘m a bit confused:
Assume that I have sampled a voltage signal and take the PSD of it, the units are in V^2/Hz.
If it has flicker noise or 1/f noise in its spectrum I would see it as a function ...
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CPM Modulation and Demodulation, How to determine the values for normalized bandwidth?
See table related to CPM Modulation which specifies $L$, $h$, $B_{norm}$ and sampling rate $f_s$. $B_{norm}$ and the sampling rate $f_s$ are directly related and I understand that relationship. What I ...
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How to relate a section of a PSD plot back to the original complex numbers IQ or remove part of a signal from a spectrum with python-signal excision?
I have data coming off an software defined radio, I want to remove a certain signal(interference) from a spectrum new to DSP. I am using python. the signal comes in as an array of complex numbers (...
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Power spectrum: $uV^2$ scale
I was reading a paper and found this figure:
The paper defines slow wave activity as the mean power in the slow wave frequency band (0.4 to 5 Hz). I'm used to seeing power measured in "raw power&...
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Will demeaning affect later PSD estimates?
I'm relatively new to signal processing, so if my question reveals some conceptual misunderstanding please do say... I'm just wondering if demeaning (and thus homogenising) my data (recorded from 32 ...
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Identification of the spectrum color of a coded video signal
I have two encoded video signals (MPEG and H.263). In each file, I have information about the frames of the video.
I calculated the autocorrelation and then did the Fourier transform to find and plot ...
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How should I go about completely decorrelating a digital signal?
So I'm working on real time signal compression, and I need to come up with the best convolution to minimize the entropy of incoming data (which I will then compress), which I understand is achieved by ...
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Generate a Time Series from Power Spectral Density Python
I am trying to generate a time series from a defined PSD function, however i tried to do this in python , with the following steps:
Define the Power Spectral Density
Define the time parameters
Define ...
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Energy and Power: Power Spectral Density is units of Energy
To help focus answers: The following is specific to “Energy” and “Power” as used for signal processing, not physical units of energy and power (then to ask can units of “Watts” and “Joules” be used, ...
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Two meanings for "innovation" in Wiener filter are the same?
This is related question to A question about Wiener filter based on Linear Estimation by Kailath, based on the textbook Linear Estimation by Kailath. In that link I talk about how I first learned what ...
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A question about Wiener filter based on Linear Estimation by Kailath
In my linear estimation class based on the textbook Linear Estimation by Kailath, we went through the process of finding LLSE of $\hat{x}(t+\lambda)$ for fixed $\lambda$ given $\{y(\tau)|-\infty<\...
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Why is the sample spectrum considered inconsistent?
In multiple sources of the literature, e.g. here or here, it is stated that the sample spectrum (i.e. calculating the spectrum of an input signal by simply squaring the magnitude of the DFT) is ...
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