Submit your paper : editorIJETjournal@gmail.com Paper Title : Wavelet Signal Processing: A Review for Recent Applications ISSN : 2395-1303 Year of Publication : 2020 10.29126/23951303/IJET-V6I6P7 MLA Style: -Amit Kumar "Wavelet Signal Processing: A Review for Recent Applications " Volume 6 - Issue 6(52-60) November - December,2020 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: -Amit Kumar "Wavelet Signal Processing: A Review for Recent Applications " Volume 6 - Issue 6(52-60) November - December,2020 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract - Signal processing is a powerful method in analysing any real-time physical phenomenon. The wavelets are gaining interest among the researchers as a new mathematical analysis tool to solve the real-life puzzles after it overcame the limitations of Fourier analysis. This review article aims to cover brief basic primary knowledge for wavelets covering its evolution to present status. Then the recent literature review is presented on the subject of wavelet applications in the field of fight against the Covid-19 pandemic. This article aims to act as a reference for the ongoing research that is done to understand the current pandemic situation, due to disease Covid-19, worldwide using wavelet as a signal processing tool. Reference 1- J. Fourier, Sine and Cosine Series for an Arbitrary Function in Joseph Fourier 1768-1830 Ed. and annotated by I, Cambridge, MA: Grattan-Guinness The MIT Press, 1807. 2. A. Graps, "An intrioduction to wavelets," IEEE Computational Science and Engineering, vol. 2, no. 2, pp. 50-61, Summer 1995. 3. V. K. Sudarshan, M. R. K. Mookiah, U. R. Acharya, V. Chandran, F. Molinari, H. Fujita and K. H. Ng, "Application of wavelet techniques for cancer dignosis using ultrasound images: A Review," Computers in Biology and Medicine, vol. 69, pp. 97-111, 2016. 4. D. Labat, "Recent advances in wavelet analyses: Part1. A review of concepts," Journal of Hydrology, vol. 2005, no. 314, pp. 275-288, 2005. 5. E. Bouri, S. J. H. Shahzad, D. Roubaud, L. Kristoufek and B. Lucey, "Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis," The Quarterly Review of Economics and Finance, vol. In Press, pp. QUAECO-1350 (No. of pages 9), 2020. 6. T. Ramalingam and P. Dhanalakshi, "Sppech/Music classification using wavelet based feature extraction techniques," Journal of Computer Science, vol. 10, no. 1, pp. 34-44, 2014. 7. S. Hamsa, I. Shahin, I. Youssef and N. Werghi, "Emotion recognition from speech using wavelet packet transfor cochlear filter bank and random forest classifier," IEEE Access, no. Digital Object Identifier 10.1109/ACCESS.2020.2991811, pp. 96994-97006, 2020. 8. "WHO Coronavirus Disease (COVID-19) Dashboard," [Online]. Available: https://covid19.who.int/. [Accessed 23 7 2020]. 9. S. Singh, K. S. Parmar, J. Kumar and S. J. S. Makkhan, "Development of new hybrid model of dicrete wavelet decomposition and autoregressive integrated moving average (ARIMA) model in application to one month forecast the casualities cases of COVID-19," Chaos, Solitons and Fractal, vol. 135, no. 109866, pp. 1-7, 2020. 10. N. Iqbal, Z. Fareed, F. Shahzab, X. He, U. Shahzad and M. Lina, "The nexus between COVID-19, temperature and exchange rate in Wuhan city: New findings from partial and multiple wavelet coherence," Science of The Total Environment, vol. 729, no. 10 August 2020, pp. 138916 (1-9), 2020. 11. T. Chakraborty and I. Ghosh, "Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis," Chaos, Solitons & Fractals, vol. 135, no. June, pp. 109850 (1-10), 2020. 12. A. S. R. Srinivasa Rao and S. G. Krantz, "Continued and Serious Lockdown Could Minimize Many Newly Transmitted Cases of COVID-19 in the U.S.: Wavelets, Deterministic Models, and Data," 5 5 2020. [Online]. Available: https://www.medrxiv.org/content/10.1101/2020.04.30.20080978v1.full.pdf. [Accessed 17 7 2020]. 13. A. Sharif, C. Aloui and L. Yarovaya, "COVID-19 Pandemic, Oil Prices, Stock Market, Geopolitical Risk and Policy Uncertainty Nexus in the US Economy: Fresh Evidence from the Wavelet-Based Approach," 15 4 2020. [Online]. Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3574699. [Accessed 17 7 2020]. Keywords Signal analysis, tool for signal processing, current status review, Covid-19 Pandemic |