• Abhishek Jain
• Suhel Ahamed

Signal processing plays a crucial role in various domains, including telecommunications, biomedical engineering, audio processing, and image analysis. Feature extraction is an essential step in signal analysis, aimed at capturing relevant information from raw signals for further analysis and decision-making. This research paper provides a comprehensive review of recent feature extraction methods for signal analysis. It explores different techniques and algorithms used for extracting discriminative and informative features from signals. The paper also discusses the applications, strengths, and limitations of these methods, along with potential future research directions in the field of feature extraction for signal analysis.

Feature Extraction Methods for Signal Analysis: A Comprehensive Review

"Feature Extraction Methods for Signal Analysis: A Comprehensive Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.210-214, January-2019, Available :http://www.jetir.org/papers/JETIR1901H94.pdf

"Feature Extraction Methods for Signal Analysis: A Comprehensive Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp210-214, January-2019, Available at : http://www.jetir.org/papers/JETIR1901H94.pdf