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Adaptive Filter
Adaptive filter is an integral part of modern signal processing. In general, it is composed of filter structure and adaptive algorithm, in which...
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Volterra Adaptive Filter
Linear filters, based on linear system models, have been fully studied and applied in many fields. However, most systems in practice are nonlinear,...
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Filter-based Immersion and Invariance Adaptive Control of Nonlinear Systems
This paper proposes a novel filter-based immersion and invariance (I&I) adaptive method for nonlinear systems with additive disturbances and...
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Spline Adaptive Filter
In this chapter, we introduce a nonlinear spline filter. It consists of a linear combiner followed by a flexible memory-less function and is...
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Electrocardiogram Signal Denoising Using Optimized Adaptive Hybrid Filter with Empirical Wavelet Transform
Cardiovascular diseases are the world’s leading cause of death; therefore cardiac health of the human heart has been a fascinating topic for decades....
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Scalable intelligent median filter core with adaptive impulse detector
This paper introduces a reconfigurable AI-enabled scalable median filter with an adaptive impulse detector designed for FPGA-based real-time imaging...
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Adaptive Interval Type-2 Fuzzy Filter
This chapter presents the introduction of an Adaptive Interval Type-2 Fuzzy Filter. This filter is presented as one of the artificial intelligence...
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Modified Model of RLS Adaptive Filter for Noise Cancellation
Recursive Least Square (RLS) is a popular algorithm for noise cancellation in non-stationary signals; however, it demands more computational...
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Adaptive Gaussian Filter Based on ICEEMDAN Applying in Non-Gaussian Non-stationary Noise
Gaussian filter (GF) is a commonly used linear filter in signal and image noise reduction. However, its limitation is that it cannot adapt parameters...
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Adaptive augmented cubature Kalman filter/smoother for ECG denoising
Model-based Bayesian approaches have been widely applied in Electrocardiogram (ECG) signal processing, where their performances heavily rely on the...
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Exploration of Adaptive Principle EMI Filter
The LC power filter is the filter with the longest application history. It has been applied in the 1920s and is still widely used in various fields....
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Nonlinear Spline Prioritization Optimization Adaptive Filter
The nonlinear spline prioritization optimization adaptive filter (SPOAF) utilized for system identification is proposed to solve the poor...
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Constrained Normalized Subband Adaptive Filter Algorithm and Its Performance Analysis
Constrained least mean square (CLMS) algorithm is the most popular constrained adaptive filtering algorithm due to its simple structure and easy...
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Joint Estimation of Vehicle State and Parameter Based on Maximum Correntropy Adaptive Unscented Kalman Filter
To address the problem of poor robustness and accuracy of vehicle state and parameter estimation by conventional Kalman filter in the non-Gaussian...
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Hardware Implementation of a High-Speed Adaptive Filter Using a Combination of Systolic and Convex Architectures
In this paper, an improved high-speed adaptive filter is proposed and implemented using a field-programmable gate array platform. Specifically, a new...
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A robust modified adaptive extended Kalman filter for state- of-charge estimation of rechargeable battery under dynamic operating condition
In an electric automotive, accurate estimation of state of charge (SOC) ensures the safety and reliability of the battery. Due to ease of...
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A Novel Method for Design and Implementation of Systolic Associative Cascaded Variable Leaky Least Mean Square Adaptive Filter for Denoising of ECG Signals
Electrocardiogram is the most essential diagnostic test for heart disease detection in this era, where it has low frequency and small amplitude,...
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GNSS/INS Tightly Coupled Navigation with Robust Adaptive Extended Kalman Filter
GNSS/INS integrated navigation system is particularly outstanding in providing reliable navigation information for land vehicle applications....
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Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment
Electrocardiogram signal enrichment has become a searing topic in recent research. This paper deals with designing an optimal Wiener spline adaptive...
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Adaptive Measurement Covariance Poisson Multi-Bernoulli Mixture Filter for Multi-target Tracking Under Glint Noise
In this paper, we present a novel adaptive measurement covariance Poisson multi-Bernoulli mixture (PMBM) filter and develop its implementation to...