TAILIEUCHUNG - An intelligent approach for variable size segmentation of non-stationary signals

In numerous signal processing applications, non-stationary signals should be segmented to piece-wise stationary epochs before being further analyzed. In this article, an enhanced segmentation method based on fractal dimension (FD) and evolutionary algorithms (EAs) for non-stationary signals, such as electroencephalogram (EEG), magnetoencephalogram (MEG) and electromyogram (EMG), is proposed. In the proposed approach, discrete wavelet transform (DWT) decomposes the signal into orthonormal time series with different frequency bands. Then, the FD of the decomposed signal is calculated within two sliding windows. The accuracy of the segmentation method depends on these parameters of FD. In this study, four EAs are used to increase the accuracy of segmentation method and choose acceptable parameters of the FD. These include particle swarm optimization (PSO), new PSO (NPSO), PSO with mutation, and bee colony optimization (BCO). The suggested methods are compared with other most popular approaches (improved nonlinear energy operator (INLEO), wavelet generalized likelihood ratio (WGLR), and Varri’s method) using synthetic signals, real EEG data, and the difference in the received photons of galactic objects. The results demonstrate the absolute superiority of the suggested approach. | An intelligent approach for variable size segmentation of non-stationary signals

• Vật lý
• Adaptive segmentation
• Discrete wavelet transform
• Fractal dimension
• Evolutionary algorithm
• Particle swarm optimization
• Fast Online Training with Frequency Adaptive Learning Rates
• Chinese Word Segmentation
• New Word Detection
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Adaptive Chinese Word Segmentation
• Jianfeng Gao
• Long Papers
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• BMC Bioinformatics
• Variant calling
• Adaptive data segmentation
• Disease research
• Clinical treatment
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Handbook of medical imaging
• Fundamental enhancement techniques
• Adaptive image filtering
• Enhancement by multiscale nonlinear operators
• Volumetric segmentation
• Arterial Tree Morphometry
• Design of portable embedded system
• Implementation of portable embedded system
• Real time traffic sign detection and recognition
• Support vector machine
• Techniques including adaptive chromatic color segmentation
• Optimization of hole making operations for injection mould
• Particle swarm optimization algorithm
• Hole making operations for injection mould
• Developed particle swarm optimization
• Hole making operations
• A mechanism to recover from knee injury
• Applying particle swarm optimization
• The Particle Swarm Optimization technique
• Meta heuristic technique
• Particle Swarm Optimization and prototype
• Journal of Automation and Control Engineering
• Stock price forecasting
• Support vector machines and improved particle Swarm optimization
• Support vector machines
• Improved via Genetic Algorithm
• Nuclear engineering and technology
• On the Particle Swarm Optimization
• Cask shielding design
• Prototype Sodium cooled Fast Reactor
• The Particle Swarm Optimization
• The air cooling space
• Flexible Manufacturing System Memetic Algorithm
• Modified Memetic Particle Swarm Optimization
• Multi Load AGVs
• Particle Swarm Optimization Scheduling
• Automated guided vehicles
• Compute method of analog circuit fault diagnosis
• Via particle swarm optimization
• Formulate multivariate polynomial equations
• Solving nonlinear multivariable equations
• Multivariable Particle Swarm Optimization
• Modified discrete particle swarm optimization algorithm
• Quadratic assignment problems
• Swarm optimization algorithms
• Solve some benchmark instances
• Quadratic assignment problem
• Teaching Learning Based
• Optimization Particle Swarm Optimization
• Minimum zone circle
• Least square circle
• Minimum circumscribed circle
• Electronic Engineering
• Crossover thought
• Dynamic performance
• Fuzzy control thought
• Improved fuzzy particle swarm optimization
• Water turbine regulating system
• Binary Particle
• Swarm Optimization
• Electric Machines
• SW Partitioning
• Swarm Optimizer
• Chaotic Rough
• Particle Swarm
• Optimization Algorithms
• Real Value
• Attribute Discretization
• Attribute Reduction
• Automatic Cost Estimation
• Tree Edit Distance
• Electrical discharge machining
• The EDM Process
• Modeling of EDM responses
• Stochastic weight trade off particle swarm optimization
• Optimal power flow
• Stochastic weight trade off
• Enhancing search its search ability
• Optimal robotic assembly sequence generation
• Robot directional changes
• Inverse kinematics of multi joint robot
• Simulated annealing algorithm
• Multi joint robot
• Kanban based assembly line feeding system through integration
• Simulation and particle swarm optimization
• The design of the system
• The trade off between kanban size
• Support solving the problem
• Short term hydrothermal scheduling
• Quantum behaved particle swarm optimization
• Chaotic local search
• Constrains handling
• Flexible ligand docking
• Search algorithms
• Random drift particle swarm optimization
• Diversity control strategy
• Solis and Wets local search
• Autodock software
• Ancestral genome inference
• Genome arrangement
• Discrete optimization
• Gene expression
• Decision tree classifier
• Analyzed gene
• Microarray data
• Semi supervised
• Land cover
• Remote sensing
• Fuzzy c means
• Particle swarm optimization method
• Information Sciences
• DNA sequence reconstruction
• Innovated hybridization technique
• Probabilistic cellular automata
• Least mean squares
• Recursive least squares
• Obtain signals
• Original signal during transmission
• Optimal operations
• Multi objective nonlinear optimization
• Multi objective micro grid model
• Multi objective criteria
• Micro power grid