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Fringe enhanced phase unwrap** method based on unscented Kalman filter
Phase unwrap** is a crucial step in almost all Interferometric Synthetic Aperture Radar (InSAR) applications. However, the presence of noise often...
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Noise and Interference Suppression Control Method of DC-DC Buck Converters Based on Cascaded Filter LADRC
Due to the high gain characteristics of the extended state observer (ESO), ADRC technology will be affected by high-frequency measurement noise in...
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A reference current control strategy based on Sogi and FBD method for shunt active power filter
When the grid voltage is not ideal, most of the reference current control strategies of shunt active power filter often fail or are too complex. In...
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Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm
Based on an analysis of the information processing mechanism in the primary visual cortex of biological vision, this study proposes an integration...
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An Improved Cubature Kalman Filter-Based Optoelectronic Tracking Method
In modern warfare, smaller and more flexible UAVs are being used on a much larger scale. The smaller laser range and more flexible movement models...
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An adaptive impedance control method for blade polishing based on the Kalman filter
Robotic force control is crucial for precise polishing and has a significant influence on the final effects. The blade has a free-form surface in...
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A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method
Credit risk prediction is a crucial task for financial institutions. The technological advancements in machine learning, coupled with the...
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Particle swarm optimization based on filter-based population initialization method for feature selection in classification
In classification problems, the datasets often have many unrelated or redundant features. The unrelated or redundant features may deteriorate the...
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LPV Robust Filter Based Fault Diagnosis Method for Aeroengine Control System
As the most typical component of an aeroengine control system, the sensor operates under high temperature, high pressure and high speed for a long...
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Mutual information-based filter hybrid feature selection method for medical datasets using feature clustering
Clustering is regarded as one of the most difficult tasks due to the large search space that must be explored. Feature selection aims to reduce the...
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Processing Method of Civil Radar Echo Signal Based on Kalman Filter Algorithm
With the popularization of civil radar application, it has great development potential in the situations of earthquake disasters and engineering...
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Deep Learning Method of Facial Expression Recognition Based on Gabor Filter Bank Combined with PCNN
Traditional recognition methods are simple to extract features and need to be manually extracted with high complexity and unstable accuracy. The...
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A scale adaptive generative target tracking method based on modified particle filter
This paper proposes an advanced particle filter (PF) algorithm based on the quantum particle swarm optimization method (QPSO) and adaptive genetic...
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The TOT Method with a Pulse Shaper Based on a Raised-Cosine Filter
AbstractThe time over threshold (TOT) method that uses a pulse sine shaper, which is based on the mathematical function of the raised cosine (FRC),...
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A Multi-Scale Gabor Filter-Based Method for Enhancing Video Images in Distance Education
Due to the limited network bandwidth and low-quality end-user devices, the images in distance education videos are transferred in low resolution. It...
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Active power filter based on DS-SDFT harmonic detection method with MPC
The traditional ip-iq harmonic detection method is widely used in APF, but it sacrifices the response speed and detection accuracy of the APF system...
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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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FastTrack: A Highly Efficient and Generic GPU-Based Multi-object Tracking Method with Parallel Kalman Filter
The Kalman Filter based on uniform assumption has been a crucial motion estimation module in trackers. However, it has limitations in non-uniform...
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Kalman Filter-Based Fault Diagnosis
This chapter introduces Kalman filter-based fault diagnosis methods for discrete-time linear stochastic systems. This chapter first considers the...
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A Lag Compensation Method Based on All-Pass Filter
Active dam** is commonly implemented to stabilize the LC-type voltage source inverter (VSI). Based on previous work, the effective stable region of...