The paper outlines the algorithm or alternate way to represent energy for a signal, specifically speech signal (or for that matter any signal which is generated by a mechanical assembly).
The existing procedure to compute the energy of a signal is (two methods are described here):
1. average the sum of squares of the amplitude of the signal (usually for a shorter segment)
2. Using Praseval' theorem (I think), in frequency domain, take the discrete fourier transform and square the magnitudes of the frequency components.
The drawback here is: for any mechanical system generating a signal will require more energy to generate the signal of higher frequency than that required to generate a lower frequency. Thus, the energy term calculated either by (1) or (2) does not account for the frequency of the signal.
But [bloggers comment] my feeling is adding the frequency dimensions makes the computation "complicated". Because, if a signal is combination of "some" frequency components, now how to you compute the signal energy. Also, if the signal was not generated by "a linear" system, what method will you use to decompose the signal into it's frequency constituents.. These questions are not trivial and does not seem to be answered by this "simple algorithm".
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