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njit-etd2003-081 - New Jersey Institute of Technology

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56<br />

Another shortcoming <strong>of</strong> the spectrogram is that it does not satisfy time and<br />

frequency marginal properties at the same instant. If one write the signal s(t) and<br />

window h(t) in terms <strong>of</strong> their amplitudes and their phase;<br />

and similarly for their Fourier transforms:<br />

Then the marginals are:<br />

These do not equal the instantaneous energy or energy density spectrum, namely<br />

A 2 (t) and B 2 (f) [38]. But they do approach them as one narrow the window in the<br />

respective domains. However window h(t) and H (f) cannot be narrowed concurrently.<br />

The short time Fourier transform is a linear signal decomposition, and there are<br />

no cross-terms between signal components. However, the spectrogram is also a bilinear<br />

signal energy distribution due to the magnitude squaring operation. Thus, the<br />

spectrogram has cross terms that are not noticeable because they are inherently filtered<br />

out by a low-pass filter defined by the ambiguity function <strong>of</strong> the window [37].<br />

3.6.2 Wigner Distribution<br />

Among all the bilinear TFD, the Wigner distribution (WD) is the most studied and<br />

applied [40]. The Wigner distribution can be obtained from the Cohen general class<br />

equation:

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