Analysis of Window Length Variation of Short-Time Fourier Transform In Various Applications

Abstract

In this project, I have applied Short-Time Fourier Transform (STFT) on various signals and analyzed the effect of various windows taking into consideration different parameters like window length, spectral leakage. I have compared distinct processing techniques such as Fourier Transform to STFT, contrasting different window to determine the quality of overall results and then monitoring the effect of window length based on the desired application. On underlying aim in this project is visualize the effect of variations of window length, so will be encountering different techniques through which the purpose can be accomplished. Designing techniques and algorithms that can be used in real time application is challenging domain in the project. Another application is to observe and study power quality disturbances on which the window length variations can be used for better visualization. Referring to the research papers that are pre - existing, we will be reviewing the algorithms and will purist it the idea into creating an adaptive algorithm for spectrogram visualization. Highlighting the real life problems, frequency resolution and time resolution have stood as demanding concerns. Taking these problems into account, this project is an initiative to discover the appropriate and desired solution. Also this will look forward to the problems that have not been encountered yet.