# Tagged Questions

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### Finding the deterministic autocorrelation function (ACF) from its power spectrum

The power spectrum of a stationary discrete-time random signal is $$\Phi_{xx}(e^{j\omega})=\begin{cases} 1 & |\omega|<\pi/2 \\ 0 & \pi/2 <|\omega| \le\pi \end{cases}$$ (a) ...
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### Flattening out a power spectral density

The situation is as follows. I am generating a white noise voltage signal with a certain power spectral density amplitude of choice, from 0 to some cutoff frequency, for example 200 MHz. This proceeds ...
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### Sign of DC Component obtained from FFT differs with the sign of Mean of the signal, Does the sign really matter?

I've been working on 3-axis accelerometer data to predict the gesture of an user. Lot of literature pointed me to consider Frequency domain features for my problem and i'm using Mean of the ...
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### Finding the right measure to compare sound signals in the frequency domain

I am comparing the spectral contents of some sound signals with Matlab. I have quite a few measures but wanted one that represents the centre of gravity of the spectrum. I used SpecCentroid() found ...
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### How to find SNR of received DSB:AM signal with white noise after demodulation & LPF'ed?

This is a homework problem so please do not give a full solution. I intend to keep this at discussion-level. Problem Statement I am given the Power Spectral Density (PSD) of a DSB-Amplitude ...
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### Understanding spectral diagram in Log-Log scale

I have a hard time understanding the signal composition via log-log representation of signal power spectral. For example, in the figure attached On the right is the Spectral Density of signal X and ...
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### Power spectrum estimate from FFT

I'm plotting the FFT power-spectrum of a signal in MATLAB. I uploaded the 8000 samples time-series signal in a text file here: http://wikisend.com/download/896484/signal.txt I'm using the following ...
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### how to apply x and y in cpsd matlab code?

i would like to ask question related to Cross Power Spectral Density function , which in matlab can be estimated using function : cpsd(x,y,[],[],1024,fs) but there is a main question that x and y ...