• Merlin Thomas
• Jose James

Time Frequency distributions (TFD), which indicate the energy content of a signal as a function of both time and frequency, are powerful tools for time-varying signal analysis. The lack of a single distribution that is “best “ for all applications has resulted in a proliferation of TFDs, each corresponding to a different, fixed mapping from signals to the time-frequency plane. A major drawback of all fixed mappings is that, for each mapping, the resulting time frequency representation is satisfactory only for a limited class of signals. In this paper, we compare the different TFDs of Cohen’s class-Wigner-Ville, Choi-Williams, Zhao-Atlas-Marks and Born-Jordan distributions by applying them to multi-component signals.

Time-Frequency Distribution, Wigner-Ville, Choi-Williams, Zhao-Atlas-Marks, Born-Jordan, Cohen’s class, Quadratic TFD, Kernel, Ambiguity Function

"A Comparative Study on the Analysis of Multi-Component Signals using WVD and its Variants ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.f624-f629, December-2022, Available :http://www.jetir.org/papers/JETIR2212579.pdf

"A Comparative Study on the Analysis of Multi-Component Signals using WVD and its Variants ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppf624-f629, December-2022, Available at : http://www.jetir.org/papers/JETIR2212579.pdf