Frequency estimation from noisy signals based on deep learning
Frequency estimation is used everywhere as it is one of the main issues in the field of signal processing and communications. It is an important topic because various fields in the world use this. Currently, many researchers are using traditional methods in finding the frequency estimation of...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167173 |
| _version_ | 1811690436684677120 |
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| author | Tay, Audrey Bao Yi |
| author2 | Teh Kah Chan |
| author_facet | Teh Kah Chan Tay, Audrey Bao Yi |
| author_sort | Tay, Audrey Bao Yi |
| collection | NTU |
| description | Frequency estimation is used everywhere as it is one of the main issues in the field of signal
processing and communications. It is an important topic because various fields in the world
use this. Currently, many researchers are using traditional methods in finding the frequency
estimation of a signal, which can still give accurate and reliable results.
In recent years, deep learning has gained recognition and people are starting to incorporate
deep learning into their research as it is known to have a higher accuracy and speed. It also can
process large amount of data which makes it very powerful when dealing with unstructured
data.
This project aims to understand the various methods that have been used to estimate the
frequency of signals, followed by the study of deep learning algorithms available. The main
objective of this project is to incorporate deep learning into finding the frequency estimation
of a noisy signal. This is done by studying the behaviour of DNN which displays the
phenomenon of F-principle, where it captures the low frequency first then the high frequency.
This algorithm is then tested on noisy signal to estimate the frequency of the signal. |
| first_indexed | 2024-10-01T06:03:58Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/167173 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:03:58Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1671732023-07-07T18:14:02Z Frequency estimation from noisy signals based on deep learning Tay, Audrey Bao Yi Teh Kah Chan School of Electrical and Electronic Engineering EKCTeh@ntu.edu.sg Engineering::Electrical and electronic engineering Frequency estimation is used everywhere as it is one of the main issues in the field of signal processing and communications. It is an important topic because various fields in the world use this. Currently, many researchers are using traditional methods in finding the frequency estimation of a signal, which can still give accurate and reliable results. In recent years, deep learning has gained recognition and people are starting to incorporate deep learning into their research as it is known to have a higher accuracy and speed. It also can process large amount of data which makes it very powerful when dealing with unstructured data. This project aims to understand the various methods that have been used to estimate the frequency of signals, followed by the study of deep learning algorithms available. The main objective of this project is to incorporate deep learning into finding the frequency estimation of a noisy signal. This is done by studying the behaviour of DNN which displays the phenomenon of F-principle, where it captures the low frequency first then the high frequency. This algorithm is then tested on noisy signal to estimate the frequency of the signal. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-24T01:35:35Z 2023-05-24T01:35:35Z 2023 Final Year Project (FYP) Tay, A. B. Y. (2023). Frequency estimation from noisy signals based on deep learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167173 https://hdl.handle.net/10356/167173 en A3237-221 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Tay, Audrey Bao Yi Frequency estimation from noisy signals based on deep learning |
| title | Frequency estimation from noisy signals based on deep learning |
| title_full | Frequency estimation from noisy signals based on deep learning |
| title_fullStr | Frequency estimation from noisy signals based on deep learning |
| title_full_unstemmed | Frequency estimation from noisy signals based on deep learning |
| title_short | Frequency estimation from noisy signals based on deep learning |
| title_sort | frequency estimation from noisy signals based on deep learning |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/167173 |
| work_keys_str_mv | AT tayaudreybaoyi frequencyestimationfromnoisysignalsbasedondeeplearning |