New Equalizers for Antiproton Stochastic Cooling at Fermilab [PDF]
, 2007 In the continuous effort to improve antiproton stacking rate, a new type of equalizers has been developed and installed in antiproton accumulator. The R&D of these new equalizers is described in this paper.
Sun, D. +2 more
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A Unified Framework for Group Delay Flattening: Stable and Hardware-Efficient All-Pass Networks
IEEE AccessThis paper presents a unified framework for group delay (GD) equalization and phase distortion compensation using cascaded all-pass filter (APF) networks. The proposed approach addresses the critical limitation of finite impulse response (FIR) equalizers,
Raghav Krishna +3 more
doaj +1 more source
Deep Learning Equalizer Connected with Viterbi-Viterbi Algorithm for PAM D-Band Radio over Fiber Link. [PDF]
Sensors (Basel), 2023 Xie T, Sheng Q, Yu J.
europepmc +1 more source
Commentary: Equality does not equal quality [PDF]
The Journal of Thoracic and Cardiovascular Surgery, 2021 Yuting P, Chiang, Hiroo, Takayama
openaire +2 more sources
Adaptive minimum symbol-error-rate decision feedback equalization for multilevel pulse-amplitude modulation [PDF]
, 2004 The design of decision feedback equalizers (DFEs) is typically based on the minimum mean square error (MMSE) principle, as this leads to effective adaptive implementation in the form of the least mean square algorithm.
Mulgrew, B., Hanzo, L., Chen, S.
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Tap Loading of Subcarrier Equalizers for Wireless Multicarrier Transceivers [PDF]
, 2014 —We present a novel algorithm for defining the lengths of subcarrier equalizers employed by wireless multicarrier transmission systems operating in frequency-selective fading channels. The equalizer lengths across the subcarriers are incrementally varied
Fabrice Labeau +3 more
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Two-Lane DNN Equalizer Using Balanced Random-Oversampling for W-Band PS-16QAM RoF Delivery over 4.6 km. [PDF]
Sensors (Basel), 2023 Xu S, Xu S, Sang B, Zeng L, Zhao L.
europepmc +1 more source
Least Bit Error Rate Adaptive Nonlinear Equalizers for Binary Signalling [PDF]
, 2003 The paper considers the problem of constructing adaptive minimum bit error rate (MBER) neural network equalizers for binary signalling. Motivated from a kernel density estimation of the bit error rate (BER) as a smooth function of training data, a ...
Mulgrew, B., Hanzo, L., Chen, S.
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Quasi-Minimum-BER Linear Combiner Equalizers [PDF]
, 1998 It is well known that Minimum Mean Square Error (MMSE) and Minimum Peak Distortion (MPD) criteria do not Minimize Bit Error Rate (MinBER), and for some channels they can have a large degradation compared to the MinBER solution. Based on the strenghts and
Jos'e Tellado, John M. Cioffi
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