Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Ten lectures on wavelets
An introduction to wavelets
Artificial Neural Networks: A Tutorial
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
Classification Using Adaptive Wavelets for Feature Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Digital Pattern Recognition
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of Corrosion Images by Wavelet Signatures and LVQ Networks
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Hybrid wavelet-support vector classification of waveforms
Journal of Computational and Applied Mathematics
Feature extraction by shape-adapted local discriminant bases
Signal Processing
Feature extraction techniques for ultrasonic shaft signal classification
Design and application of hybrid intelligent systems
An algorithm for clustering and classification of series data with constraint of contiguity
Design and application of hybrid intelligent systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature extraction and gating techniques for ultrasonic shaft signal classification
Applied Soft Computing
Synthetic soundscapes with natural grains
Presence: Teleoperators and Virtual Environments
Face detection using a first-order RCE classifier
EURASIP Journal on Applied Signal Processing
Wavelets in recognition of bird sounds
EURASIP Journal on Applied Signal Processing
Iris recognition based on statistical assessment of wavelet coefficients
International Journal of Computer Applications in Technology
A hybrid system combining Self Organizing Maps with Case Based Reasoning in Structural Assessment
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Dimensionality reduction oriented toward the feature visualization for ischemia detection
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Driving profile modeling and recognition based on soft computing approach
IEEE Transactions on Neural Networks
A cluster-based wavelet feature extraction method and its application
Engineering Applications of Artificial Intelligence
Neural classification of lung sounds using wavelet packet coefficients energy
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Sound processing using reconfigurable hardware and wavelets in wearable device application
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Classification of healthy and abnormal swallows based on accelerometry and nasal airflow signals
Artificial Intelligence in Medicine
Non-destructive testing for assessing structures by using soft-computing
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Evolutionary RBF classifier for polarimetric SAR images
Expert Systems with Applications: An International Journal
Iris recognition based on quadratic spline wavelet multi-scale decomposition
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Mathematical and Computer Modelling: An International Journal
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Baseline characteristics of cervical auscultation signals during various head maneuvers
Computers in Biology and Medicine
| Hi-index | 0.15 |
In this paper, a new efficient feature extraction method based on the fast wavelet transform is presented. This paper especially deals with the assessment of process parameters or states in a given application using the features extracted from the wavelet coefficients of measured process signals. Since the parameter assessment using all wavelet coefficients will often turn out to be tedious or leads to inaccurate results, a preprocessing routine that computes robust features correlated to the process parameters of interest is highly desirable. The method presented divides the matrix of computed wavelet coefficients into clusters equal to rowvectors. The rows that represent important frequency ranges (for signal interpretation) have a larger number of clusters than the rows that represent less important frequency ranges. The features of a process signal are eventually calculated by the euclidean norms of the clusters. The effectiveness of this new method has been verified on a flank wear estimation problem in turning processes and on a problem of recognizing different kinds of lung sounds for diagnosis of pulmonary diseases.