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Computing running discrete hartley transform and running discrete w transforms based on the adaptive LMS algorithm

Journal Article


Abstract


  • The computation of block-based discrete orthogonal transforms using the adaptive least-mean-square (LMS) algorithm has been studied in literature. This brief extends this work by establishing the relationship between the running discrete Hartley transform (DHT), the discrete W transforms (DWT's), and the LMS algorithm. As a result a new parallel approach for computing the running DHT and DWT's is proposed. © 1997 IEEE.

Publication Date


  • 1997

Citation


  • Xi, J., & Chicharo, J. F. (1997). Computing running discrete hartley transform and running discrete w transforms based on the adaptive LMS algorithm. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 44(3), 257-260. doi:10.1109/82.558461

Scopus Eid


  • 2-s2.0-0031095254

Start Page


  • 257

End Page


  • 260

Volume


  • 44

Issue


  • 3

Abstract


  • The computation of block-based discrete orthogonal transforms using the adaptive least-mean-square (LMS) algorithm has been studied in literature. This brief extends this work by establishing the relationship between the running discrete Hartley transform (DHT), the discrete W transforms (DWT's), and the LMS algorithm. As a result a new parallel approach for computing the running DHT and DWT's is proposed. © 1997 IEEE.

Publication Date


  • 1997

Citation


  • Xi, J., & Chicharo, J. F. (1997). Computing running discrete hartley transform and running discrete w transforms based on the adaptive LMS algorithm. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 44(3), 257-260. doi:10.1109/82.558461

Scopus Eid


  • 2-s2.0-0031095254

Start Page


  • 257

End Page


  • 260

Volume


  • 44

Issue


  • 3