Artificial Bee Colony Algorithm for Peak-to-Peak Factor Minimization in Periodic Signals

Minimization of the peak-to-peak factor in multiharmonic signals is highly desirable in many signal processing applications such as impedance spectroscopy and acoustic signal generation. This minimization allows optimized signal to noise ratio within a given signal amplitude range. Careful selection of the phases of each harmonic of a multiharmonic signal may lead to much better peakto- peak factors when compared to zero or random phases. This paper presents the use of an Artificial Bee Colony algorithm in the minimization of the peak-topeak factor by phase optimization of multiharmonic signals. The obtained results are compared with the Schroeder formula and the clipping algorithm. The computation time of each algorithm is also presented for comparison