Skip to main content
. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: J Neurosci Methods. 2015 Dec 19;261:135–154. doi: 10.1016/j.jneumeth.2015.12.004

Figure 1.

Figure 1

Comparison of DBT and time-segmented STFT. A: Schematic overview of steps in computing the DBT. The FFT of the full signal x(t) is computed giving x̃(f) and reshaped into a matrix whose columns are overlapping windows of the full FFT, implementing a series of bandpass filters. The inverse FFT on the matrix columns gives the demodulated band representation. Because the filter window excludes negative frequencies, the procedure results in a complex-valued analytic signal, from which instantaneous amplitude and relative phase may be extracted. B: STFT applies the FFT after reshaping the signal into short time segments.