Support vector machines based data detection for holographic data storage systems

Lakshmi Ramamoorthy*, Mehmet Keskinoz, B. V.K.Vijaya Kumar

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

Nonlinear nature of Holographic Data Storage Systems (HDSS) suggests that nonlinear equalization and detection techniques may be beneficial. Complexity involved in nonlinear methods does not often make them practical solutions. Support Vector Machines (SVMs) are recently being studied for pattern recognition applications. We investigated linear SVM detection and observed that the Bit Error Rate (BER) using SVM for data detection on Linear Minimum Mean Squared Error (LMMSE) equalized holographically recorded and retrieved 2-D data pages is about 17% better than the simple threshold detection on unequalized pages.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar969-972
Sayfa sayısı4
ISBN (Basılı)0780388747, 9780780388741
DOI'lar
Yayın durumuYayınlandı - 2005
Harici olarak yayınlandıEvet
Etkinlik2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Süre: 18 Mar 200523 Mar 2005

Yayın serisi

AdıICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
HacimIII
ISSN (Basılı)1520-6149

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???event.eventtypes.event.conference???2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Ülke/BölgeUnited States
ŞehirPhiladelphia, PA
Periyot18/03/0523/03/05

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