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Short answer: the choice of FFT length will affect how many points your Power Spectral Density (PSD) estimate will have in the frequency domain (and thus its ability to show small details, i.e. its &...

The power spectral density (PSD) of the signal describes the power present in the signal as a function of frequency, per unit frequency. So, the answer is NO, while the spectral power estimate will ...

You may not need to. The DC offset should show up only in a single bin of the FFT, namely the one corresponding to 0 Hz, which is (usually) the very first element of the vector output by an FFT ...

You can also reduce DC offset by applying a band filter to the signal, which will reduce the effects of DC offset in the spectrogram. Applications like Raven Lite and Audacity make this approach easy. ...

It's not very clear what you mean with "equal frequency composition", but assuming the sounds you're talking about are mostly tonal (and hence have a fundamental frequency ...

It depends on what you mean by 'accuracy.' The FFT length as such does not help much in answering the question. When I teach spectral analysis to my students at the Indian Institute of Technology ...

Removing the DC component in the frequency domain is not trivial, and generally not recommended. Although ideally all the DC content should be at the 0-th bin of your Discrete Fourier Transform, in ...

If you work with R and you can remove it with the function rmoffset() from seewave package.

An easy way without programming would be: Measure the fundamental frequency $F_i$ at the beginning of the call for each of your recording i. Choose the new standard fundamental frequency for all your ...

To make it clear, one should also look at a signal of a specific frequency (pure tone signal). The PSD is then an infinite narrow, but infinite high peak (a delta function with the integral yielding ...

Some cross-correlation algorithms allow for the frequency shift between spectrograms. For example, in Avisoft, you can set-up maximum frequency deviation between the spectrograms (http://www.avisoft....

Depending on how you're converting to the spectral domain, this may happen automatically. Many transformation algorithms either implicitly or explicitly drop the zero-frequency component of the ...

Simply put the zero'th frequency bin to zero.