Research on the performance of digital signal processing in financial market predictions
This report presents the research method and result of the project titled Research on the Performance of Digital Signal Processing in Financial Market Predictions. In this report, three Digital Signal Processing (DSP) methods: Fast Fourier Transform, Linear Predictive Coding and Wavelets Transform a...
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2020
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sg-ntu-dr.10356-1398612023-07-07T18:33:15Z Research on the performance of digital signal processing in financial market predictions Li, Pian Anamitra Makur School of Electrical and Electronic Engineering EAMakur@ntu.edu.sg Engineering::Electrical and electronic engineering This report presents the research method and result of the project titled Research on the Performance of Digital Signal Processing in Financial Market Predictions. In this report, three Digital Signal Processing (DSP) methods: Fast Fourier Transform, Linear Predictive Coding and Wavelets Transform are introduced and discussed. The prediction performance is aggerated and displayed in a responsive web application. Through this report, readers will have a comprehensive understanding of the performance of DSP application in financial market prediction. This report also guides readers with the instruction of the web application to provide an investment reference in real life. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-22T05:28:48Z 2020-05-22T05:28:48Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139861 en A3015-191 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Li, Pian Research on the performance of digital signal processing in financial market predictions |
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This report presents the research method and result of the project titled Research on the Performance of Digital Signal Processing in Financial Market Predictions. In this report, three Digital Signal Processing (DSP) methods: Fast Fourier Transform, Linear Predictive Coding and Wavelets Transform are introduced and discussed. The prediction performance is aggerated and displayed in a responsive web application. Through this report, readers will have a comprehensive understanding of the performance of DSP application in financial market prediction. This report also guides readers with the instruction of the web application to provide an investment reference in real life. |
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Anamitra Makur |
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Anamitra Makur Li, Pian |
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Final Year Project |
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Li, Pian |
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Li, Pian |
title |
Research on the performance of digital signal processing in financial market predictions |
title_short |
Research on the performance of digital signal processing in financial market predictions |
title_full |
Research on the performance of digital signal processing in financial market predictions |
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Research on the performance of digital signal processing in financial market predictions |
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Research on the performance of digital signal processing in financial market predictions |
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research on the performance of digital signal processing in financial market predictions |
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Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/139861 |
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