Adaptive minimum error-rate filtering design: A review

S Chen, S Tan, L Xu, L Hanzo - Signal Processing, 2008 - Elsevier
Adaptive filtering has been an enabling technology and has found ever-increasing
applications in various state-of-the-art communication systems. Traditionally, adaptive …

Support vector machine multiuser receiver for DS-CDMA signals in multipath channels

S Chen, AK Samingan, L Hanzo - IEEE Transactions on Neural …, 2001 - ieeexplore.ieee.org
The problem of constructing an adaptive multiuser detector (MUD) is considered for direct
sequence code division multiple access (DS-CDMA) signals transmitted through multipath …

[图书][B] Computational intelligence in biomedical engineering

R Begg, DTH Lai, M Palaniswami - 2007 - taylorfrancis.com
As in many other fields, biomedical engineers benefit from the use of computational
intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even …

[PDF][PDF] A hybrid deep learning approach towards building an intelligent system for pneumonia detection in chest X-ray images

IS Masad, A Alqudah, AM Alqudah… - Int. J. Electr. Comput …, 2021 - academia.edu
Pneumonia is a major cause for the death of children. In order to overcome the subjectivity
and time consumption of the traditional detection of pneumonia from chest X-ray images; this …

Training strategy of fuzzy-firefly based ANN in non-linear channel equalization

PK Mohapatra, SK Rout, SK Bisoy, M Sain - IEEE Access, 2022 - ieeexplore.ieee.org
Channel equalization is remaining a challenge for the researcher. Especially for the non-
linear channel as well as the extremely dispersive channel, an effective channel equalizer is …

The relevance vector machine technique for channel equalization application

S Chen, SR Gunn, CJ Harris - IEEE Transactions on Neural …, 2001 - ieeexplore.ieee.org
The relevance vector machine (RVM) technique is applied to communication channel
equalization. It is demonstrated that the RVM equalizer can closely match the optimal …

Simulated annealing for SVM parameters optimization in student's performance prediction

EA Mahareek, AS Desuky, HA El-Zhni - Bulletin of Electrical Engineering …, 2021 - beei.org
High education is an important and critical part of education all over the world. In last year,
the world has been turned increasingly to online education due to the outbreak of the Covid …

Symmetric RBF classifier for nonlinear detection in multiple-antenna-aided systems

S Chen, A Wolfgang, CJ Harris… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for
nonlinear detection in the so-called" overloaded" multiple-antenna-aided communication …

Adaptive scattering transforms for playing technique recognition

C Wang, E Benetos, V Lostanlen… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Playing techniques contain distinctive information about musical expressivity and
interpretation. Yet, current research in music signal analysis suffers from a scarcity of …

Violinist identification based on vibrato features

Y Zhao, C Wang, G Fazekas, E Benetos… - 2021 29th European …, 2021 - ieeexplore.ieee.org
Identifying performers from polyphonic music is a challenging task in music information
retrieval. As a ubiquitous expressive element in violin music, vibrato contains important …