On a Real-Time Blind Signal Separation Noise Reduction System
Blind signal separation has been studied extensively in order to tackle the cocktail party problem. It explores spatial diversity of the received mixtures of sources by different sensors. By using the kurtosis measure, it is possible to select the source of interest out of a number of separated BSS...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | International Journal of Reconfigurable Computing |
| Online Access: | http://dx.doi.org/10.1155/2018/3721756 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832561839417851904 |
|---|---|
| author | Ka Fai Cedric Yiu Siow Yong Low |
| author_facet | Ka Fai Cedric Yiu Siow Yong Low |
| author_sort | Ka Fai Cedric Yiu |
| collection | DOAJ |
| description | Blind signal separation has been studied extensively in order to tackle the cocktail party problem. It explores spatial diversity of the received mixtures of sources by different sensors. By using the kurtosis measure, it is possible to select the source of interest out of a number of separated BSS outputs. Further noise cancellation can be achieved by adding an adaptive noise canceller (ANC) as postprocessing. However, the computation is rather intensive and an online implementation of the overall system is not straightforward. This paper intends to fill the gap by developing an FPGA hardware architecture to implement the system. Subband processing is explored and detailed functional operations are profiled carefully. The final proposed FPGA system is able to handle signals with sample rate over 20000 samples per second. |
| format | Article |
| id | doaj-art-58d129592ed744018493fb36090dc2f9 |
| institution | Kabale University |
| issn | 1687-7195 1687-7209 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Reconfigurable Computing |
| spelling | doaj-art-58d129592ed744018493fb36090dc2f92025-02-03T01:24:04ZengWileyInternational Journal of Reconfigurable Computing1687-71951687-72092018-01-01201810.1155/2018/37217563721756On a Real-Time Blind Signal Separation Noise Reduction SystemKa Fai Cedric Yiu0Siow Yong Low1Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Hong KongSchool of Electronics and Computer Science, University of Southampton, Malaysia Campus, Iskandar Puteri, Johor, MalaysiaBlind signal separation has been studied extensively in order to tackle the cocktail party problem. It explores spatial diversity of the received mixtures of sources by different sensors. By using the kurtosis measure, it is possible to select the source of interest out of a number of separated BSS outputs. Further noise cancellation can be achieved by adding an adaptive noise canceller (ANC) as postprocessing. However, the computation is rather intensive and an online implementation of the overall system is not straightforward. This paper intends to fill the gap by developing an FPGA hardware architecture to implement the system. Subband processing is explored and detailed functional operations are profiled carefully. The final proposed FPGA system is able to handle signals with sample rate over 20000 samples per second.http://dx.doi.org/10.1155/2018/3721756 |
| spellingShingle | Ka Fai Cedric Yiu Siow Yong Low On a Real-Time Blind Signal Separation Noise Reduction System International Journal of Reconfigurable Computing |
| title | On a Real-Time Blind Signal Separation Noise Reduction System |
| title_full | On a Real-Time Blind Signal Separation Noise Reduction System |
| title_fullStr | On a Real-Time Blind Signal Separation Noise Reduction System |
| title_full_unstemmed | On a Real-Time Blind Signal Separation Noise Reduction System |
| title_short | On a Real-Time Blind Signal Separation Noise Reduction System |
| title_sort | on a real time blind signal separation noise reduction system |
| url | http://dx.doi.org/10.1155/2018/3721756 |
| work_keys_str_mv | AT kafaicedricyiu onarealtimeblindsignalseparationnoisereductionsystem AT siowyonglow onarealtimeblindsignalseparationnoisereductionsystem |