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Article
Customized CNN for Multi-Class Classification of Brain Tumor Based on MRI Images
In this paper, we propose a new strategy to exploit the advantages of Deep Neural Network-based architectures for brain tumor classification using MRI images for a better diagnosis. This was achieved by analyz...
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Article
A Weighted Gaussian Kernel Least Mean Square Algorithm
In this work, a novel weighted kernel least mean square (WKLMS) algorithm is proposed by introducing a weighted Gaussian kernel. The learning behavior of the WKLMS algorithm is studied. Mean square error (MSE)...
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Article
An efficient normalized LMS algorithm
The task of adaptive estimation in the presence of random and highly nonlinear environment such as wireless channel estimation and identification of non-stationary system etc. has been always challenging. The ...
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Article
Credit Card Fraud Detection via Integrated Account and Transaction Submodules
Globally, credit card fraud is a prevalent dilemma. Credit card fraud detection is a classification problem where one aim is to classify legitimate and fraudulent transactions in an adaptive and an automated m...
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Article
Open AccessA variable step-size diffusion LMS algorithm with a quotient form
A new variable step-size strategy for the least mean square (LMS) algorithm is presented for distributed estimation in adaptive networks using the diffusion scheme. This approach utilizes the ratio of filtered...
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Article
A Hybrid Particle Swarm Optimization Technique for Adaptive Equalization
Adaptive equalization mitigates the distortions caused by radio channels. The least mean square (LMS) and the recursive least squares (RLS) algorithms are used for such purpose. Recently, particle swarm optimi...
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Article
Chlorine Soft Sensor Based on Extreme Learning Machine for Water Quality Monitoring
A major problem in water treatment plants is the continuous difficulty faced in online measurement by means of dedicated measuring hardware and laboratory analysis of certain variables related to the compositi...
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Article
A unified analytical framework for distributed variable step size LMS algorithms in sensor networks
Internet of Things (IoT) is hel** to create a smart world by connecting sensors in a seamless fashion. With the forthcoming fifth generation (5G) wireless communication systems, IoT is becoming increasingly ...
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Article
Observation-Driven Method Based on IIR Wiener Filter for Microseismic Data Denoising
Reliable analysis of low-energy earthquakes (microseismic) depends on how accurately one can detect and pick the arrival times, which are strongly influenced by the noise content. The study of microseismic eve...
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Article
Open AccessMultiple access interference in MIMO-CDMA systems under Rayleigh fading: statistical characterization and applications
A major limiting factor in the performance of multiple-input-multiple-output (MIMO) code division multiple access (CDMA) systems is multiple access interference (MAI) which can reduce the system’s capacity and...
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Article
Open AccessFiltered-X Least Mean Fourth (FXLMF) and Leaky FXLMF adaptive algorithms
Adaptive filtering algorithms promise an improvement of the active noise control (ANC) problem encountered in many scenarios. Just to name a few, the Filtered-X Least Mean Square (FXLMS) algorithm, the Leaky F...
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Article
Open AccessCFO mitigation for uplink SFBC SC-FDMA
To mitigate inter-carrier interference due to large carrier frequency offset (CFO) in an uplink single-carrier frequency division multiple access (SC-FDMA) system, a three-tap adaptive frequency-domain decisio...
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Article
Open AccessFrequency domain soft-constraint multimodulus blind equalization for uplink SC-FDMA
Single-carrier frequency division multiple access (SC-FDMA) has been adopted and employed as the standard in the 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) uplink multiple-access schem...
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Article
A Unified Performance Analysis of the Family of Normalized Least Mean Algorithms
This work presents a unified performance analysis of the family of normalized least mean (NLM) algorithms under very weak assumptions. The key feature of the analysis is based on a recently proposed performanc...
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Article
Open AccessBlind distributed estimation algorithms for adaptive networks
Until recently, a lot of work has been done to develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of interest. However, all these alg...
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Article
Open AccessA variable step-size strategy for distributed estimation over adaptive networks
A lot of work has been done recently to develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of interest. One such algorithm is called dif...
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Article
Convergence and Performance Analysis of Multi-Split Decision Feedback Equalizer
In this paper, the idea of multi-split adaptive filter is applied to a Decision Feedback Equalizer (DFE). The feed-forward and feedback sections in the DFE are divided into parallel sub-filters by imposing sep...
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Article
Adaptive Successive Interference Cancelation Using Fuzzy Derived Weights
In wireless communication interference resulting from spatial or temporal sharing of spectrum places a limit on the performance. This paper studies adaptive cancelation of interference by serial (successive) i...
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Article
New insights into the normalization of the least mean fourth algorithm
The available normalization of the least mean fourth algorithm is investigated. It is shown that that normalization does not protect the algorithm from divergence when the input power of the adaptive filter in...
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Article
Open AccessA variable-parameter normalized mixed-norm (VPNMN) adaptive algorithm
Since both the least mean-square (LMS) and least mean-fourth (LMF) algorithms suffer individually from the problem of eigenvalue spread, so will the mixed-norm LMS-LMF algorithm. Therefore, to overcome this pr...
