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المؤلفAl-Abbasi, Abubakr O.
المؤلفHamila, Ridha
المؤلفBajwa, Waheed U.
المؤلفAl-Dhahir, Naofal
تاريخ الإتاحة2023-04-04T09:09:06Z
تاريخ النشر2016
اسم المنشورIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/SPAWC.2016.7536774
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41608
الملخصIn this paper, we propose a general framework that transforms the problems of designing sparse finite-impulse response channel-shortening equalizers and target impulse response filters for multiple antenna systems into the problems of sparsest-approximation of a vector in different dictionaries. Additionally, we compare several choices of the sparsifying dictionaries in terms of the worst-case coherence metric, which determines their sparsifying effectiveness. Furthermore, a reduced complexity design approach is proposed, which is realized by exploiting the asymptotic equivalence of Toeplitz and circulant matrices. Finally, the significance of our proposed approach is demonstrated through numerical experiments. 2016 IEEE.
اللغةen
الناشرIEEE
الموضوعEqualizers
Impulse response
Wireless telecommunication systems
Asymptotic equivalence
Circulant matrix
Finite impulse response channels
Multiple antenna systems
Numerical experiments
Reduced complexity
Target impulse response
Worst-case coherences
Signal processing
العنوانSparsifying dictionary analysis for FIR MIMO channel-shortening equalizers
النوعConference Paper
رقم المجلد2016-August
dc.accessType Abstract Only


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