Abstract:
This paper introduces a new method of extracting features of
a signal called Bipolar Pulse Active (BPA) features. The
BPA extracts information from signals and decomposes
them, using a series of harmonically related periodic
triangular waveforms, into a finite set of Pulse Domain
features. The BPA features contain information such as the
rate of change between amplitudes, durations and
frequencies within the original signal. The transformed
signals can be further processed for some desirable
application. In this paper, BPA feature is modified to
describe its energy spectrum to be used in the application of
Voice Activity Detection (VAD) of a speech signal
