TY - JOUR AU - Li, Miaofen AU - Liu, Youmin AU - Zhi, Shaodan AU - Wang, Tianyang AU - Chu, Fulei PY - 2021/12/21 Y2 - 2024/03/29 TI - Short-time Fourier Transform Using Odd Symmetric Window Function JF - Journal of Dynamics, Monitoring and Diagnostics JA - JDMD VL - 1 IS - 1 SE - Regular Articles DO - 10.37965/jdmd.v2i2.39 UR - https://ojs.istp-press.com/dmd/article/view/39 SP - 37-45 AB - <p><span class="fontstyle0">In this paper, a novel time</span><span class="fontstyle2">–</span><span class="fontstyle0">frequency (TF) analysis method, called the short-time Fourier transform using odd symmetric window function (OSTFT), is proposed using odd symmetric window function to replace the conventional even window function of STFT. Different from conventional STFT acquiring the amplitude maximum at time and frequency centers, OSTFT acquires the minimum amplitude of 0. Hence, OSTFT can obtain a TF representation (TFR) with high TF resolution by utilizing the leaked energy rather than restraining it. It is worth to mention that the proposed OSTFT can vitiate the effect of window size we choose on the TFR obtained. Furthermore, it also has a good performance on signals with complex instantaneous frequencies (IFs), even crossing IFs. Because we just replace the conventional window function of STFT, the time-consuming of the proposed OSTFT is at the same level as the conventional STFT. The effectiveness of proposed OSTFT has been validated on two complex multi-component simulated numerical signals and a signal collected from the brown bat.</span></p><p><span class="fontstyle0"><strong>Conflict of Interest Statement</strong><br />Fulei Chu is an Editor-in-Chief and Tianyang wang is an editorial board member for the <em>Journal of Dynamics, Monitoring and Diagnostics</em>, and both were not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflict of interest.</span></p> ER -