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Robust conjugate ambiguity functions and application for strictly noncircular signals in correlated impulsive noise
The assumption of independent and identically distributed noise is often used in basic research, but the correlation between two additive noises...
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Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition
The three-dimensional localization problem for noncircular sources in near-field with a centro-symmetric cross array is rarely studied. In this...
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Parameter estimation for coherently distributed noncircular sources under impulsive noise environments
The signal source generates angular expansion in space due to scattering, reflection and other phenomena in a complex environment, which requires a...
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Generalized complex kernel least-mean-square algorithm with adaptive kernel widths
A novel variable kernel width generalized complex-valued least mean-square (VKW-GCKLMS) algorithm aims to optimize kernel width in online way to...
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Robust DOA estimation and tracking for integrated sensing and communication massive MIMO OFDM systems
In this paper, we propose a robust direction-of-arrival (DOA) estimation and tracking scheme for a massive multiple input multiple output (MIMO)...
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Augmented Online Sequential Quaternion Extreme Learning Machine
Online sequential extreme learning machine (OS-ELM) is one of the most popular real-time learning strategy for feedforward neural networks with...
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Incremental Quaternion Random Neural Networks
Quaternion, as a hypercomplex number with three imaginary elements, is effective in characterizing three- and four-dimensional vector signals....
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An improved subspace weighting method using random matrix theory
The weighting subspace fitting (WSF) algorithm performs better than the multi-signal classification (MUSIC) algorithm in the case of low...
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An ESPRIT Parameter Estimation Algorithm Based on Non-circular Signal for MIMO Radar
In this paper, a method of parameter estimation based on Non-Circular Signal via two-dimensional ESPRIT algorithm for MIMO radar is proposed. The...
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Estimation and compensation of periodic disturbance using internal-model-based equivalent-input-disturbance approach
This paper presents an improved equivalent-input-disturbance (EID) approach to deal with periodic disturbances. The approach has two degrees of...
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An effective automatic traffic sign classification and recognition deep convolutional networks
Automatic traffic sign recognition is essential for autonomous driving, assisted driving, and driver safety. Convolutional neural networks (CNNs) are...
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Machine-learning-based high-resolution DOA measurement and robust directional modulation for hybrid analog-digital massive MIMO transceiver
At hybrid analog-digital (HAD) transceiver, an improved HAD estimation of signal parameters via rotational invariance techniques (ESPRIT), called...
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A hybrid shape-based image clustering using time-series analysis
Clustering of different shapes of the same object has an inordinate impact on various domains, including biometrics, medical science, biomedical...
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Nonblocking Algorithms
When devising a concurrent data structure, we typically want to arrange for methods to be atomic—most often linearizable (Sec. 3.1.2...
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Fully Complex-Valued Wirtinger Conjugate Neural Networks with Generalized Armijo Search
Conjugate gradient (CG) method has been verified to be one effective strategy for training neural networks in terms of its low memory requirements...
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Quick extreme learning machine for large-scale classification
The extreme learning machine (ELM) is a method to train single-layer feed-forward neural networks that became popular because it uses a fast...
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A fast integral sliding mode controller with an extended state observer for position control of permanent magnet synchronous motor servo systems
Permanent magnet synchronous motor (PMSM) has been widely used in position control applications. Its performance is not satisfactory due to internal...
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An overview on integrated localization and communication towards 6G
while the fifth generation (5G) cellular system is being deployed worldwide, researchers have started the investigation of the sixth generation (6G)...
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Model-Free Adaptive Iterative Learning Control Based on Data-Driven for Noncircular Turning Tool Feed System
In practical applications, noncircular turning tool feed system repeat the same control tasks over a finite time interval. But it does not have the...
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A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence
In order to broaden the study of the most popular and general Takagi–Sugeno (TS) system, we propose a complex-valued neuro-fuzzy inference system...
