Optimised window selection for harmonic signal detection using Short Time Fourier Transform

Abstract

This paper presents a comparative study on various types of windows by using Short Time Fourier Transform (STFT) method. Types of windows which had been analysed were triangular, Hanning, hamming, Blackman and Gaussian. In selecting optimum window type and length, performance in term of accuracy by mean absolute percentage error (MAPE) and memory using statistical approaches had been identified. The system had been tested on5000samples, with sampling frequency set at 12000 Hz. The range of window length was set from 32 to 8192 for every window type. The outcome showed that the proposed Blackman window, with length of512gavethe most accurate value, while maintaining the system memory as low as possible.