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L. F. Chaparro, R. Suleesathira, A. Akan and B. Unsal, “Instantaneous Frequency Estimation Using Discrete Evolutionary Transform for Jammer Excision,” 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, 7-11 May 2001, pp. 3525-3528.

has been cited by the following article:

• TITLE: Non-Stationary Signal Segmentation and Separation from Joint Time-Frequency Plane

  AUTHORS: Abdullah Ali Alshehri

  KEYWORDS: Signal Segmentation; Time-Frequency Distribution; Short-Time Fourier Transform; Non-Stationary; Wiener Masking

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.3, August 31, 2012

  ABSTRACT: Multi-components sinusoidal engineering signals who are non-stationary signals were considered in this study since their separation and segmentations are of great interests in many engineering fields. In most cases, the segmentation of non-stationary or multi-component signals is conducted in time domain. In this paper, we explore the advantages of applying joint time-frequency (TF) distribution of the multi-component signals to identify their segments. The Spectrogram that is known as Short-Time Fourier Transform (STFT) will be used for obtaining the time-frequency kernel. Time marginal of the computed kernel is optimally used for the signal segmentation. In order to obtain the desirable segmentation, it requires first to improve time marginal of the kernel by using two-dimensional Wiener mask filter applied to the TF kernel to mitigate and suppress non-stationary noise or interference. Additionally, a proper choice of the sliding window and its overlaying has enhanced our scheme to capture the discontinuities corresponding to the boundaries of the candidate segments.