Financial signal processing is an interdisciplinary field that applies concepts and techniques from signal processing to financial data analysis and modeling. It draws on methods traditionally used in engineering and computer science, such as time-series analysis, filtering, and statistical techniques, to analyze financial signals—data points that represent market behavior, asset prices, trading volumes, and other indicators relevant to financial markets.
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