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Search-Enhanced Instantaneous Frequency Detection Algorithm: A Preliminary Design

Phen Chiak See (pcsee***at***outlook.com)

Abstract: This paper presents a method developed for finding sinusoidal components within a nonlinear non-stationary time-series data using Genetic Algorithm (GA) (a global optimization technique). It is called Search-Enhanced Instantaneous Frequency Detection (SEIFD) algorithm. The GA adaptively define the configuration of the components by simulating the solution finding process as a series of genetic evolutions. The start-time, end-time, frequency, and phase of each of these components are identified once convergence in the implementation is achieved.

Keywords: Adaptive data analysis; Instantaneous frequency; Global optimizations; Genetic algorithms.

Category 1: Combinatorial Optimization (Approximation Algorithms )

Citation: Unpublished


Entry Submitted: 04/30/2015
Entry Accepted: 05/04/2015
Entry Last Modified: 05/04/2015

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