Signal Processing for Finance, Economics, and Marketing: Concepts, framework, and big data applications

Abstract

Economic data and financial markets are intriguing to researchers working on data and quantitative models. With rapid growth of and increasing access to data in digital form, finance, economics, and marketing data are poised to become one of the most important and tangible big data applications, owing not only to the relatively clean organization and… (More)
DOI: 10.1109/MSP.2017.2663138

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Cite this paper

@article{Zhang2017SignalPF, title={Signal Processing for Finance, Economics, and Marketing: Concepts, framework, and big data applications}, author={Xiaoping Zhang and Fang Wang}, journal={IEEE Signal Processing Magazine}, year={2017}, volume={34}, pages={14-35} }