Design of an Experimental Laboratory for Pattern Recognition and Signal Processing

Advanced Computer Graphics ◽

10.1007/978-1-4613-4606-7_35 ◽

1971 ◽

pp. 595-627 ◽

Cited By ~ 1

Author(s):

N. M. Herbst ◽

P. M. Will

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Experimental Laboratory

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An experimental laboratory for pattern recognition and signal processing

Communications of the ACM ◽

10.1145/361284.361290 ◽

1972 ◽

Vol 15 (4) ◽

pp. 231-244 ◽

Cited By ~ 6

Author(s):

N. M. Herbst ◽

P. M. Will

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Experimental Laboratory

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Reliability of detection of small defects in noisy weldments by advanced signal processing and pattern recognition techniques

International Journal of Pressure Vessels and Piping ◽

10.1016/0308-0161(89)90158-0 ◽

1989 ◽

Vol 36 (2) ◽

pp. 103-109 ◽

Cited By ~ 6

Author(s):

P. Kalyanasundaram ◽

B. Raj ◽

P. Barat ◽

T. Jayakumar

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Pattern Recognition Techniques

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EMG Signal Processing for Hand Motion Pattern Recognition Using Machine Learning Algorithms

10.33696/orthopaedics.1.005 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Pattern Recognition ◽

Signal Processing ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Motion Pattern ◽

Hand Motion ◽

Emg Signal

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Signal Processing and Pattern Recognition for Eddy Current Sensors, Used for Effective Land-Mine Detection

Autonomous and Intelligent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21538-4_29 ◽

2011 ◽

pp. 294-302 ◽

Cited By ~ 5

Author(s):

Hendrik Krüger ◽

Hartmut Ewald

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Eddy Current ◽

Mine Detection ◽

Land Mine ◽

Land Mine Detection ◽

Current Sensors

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Feature Extraction and Signal Processing Approach to Realtime Pattern Recognition.

10.21236/ada059829 ◽

1978 ◽

Author(s):

C. H. Chen

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Feature Extraction ◽

Processing Approach

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Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson’s disease

Neurological Disorders and Imaging Physics, Volume 5 ◽

10.1088/978-0-7503-2723-7ch8 ◽

2020 ◽

Author(s):

Juan Rafael Orozco-Arroyave ◽

Juan Camilo Vásquez-Correa ◽

Elmar Nöth

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

Signal Processing ◽

Automatic Assessment ◽

Motor Impairments

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Defect Characterisation in Carbon/Epoxy Plates via Signal Processing and Pattern Recognition Analysis of Ultrasonic A-Scan Signals

Ultrasonics International 93 ◽

10.1016/b978-0-7506-1877-9.50207-9 ◽

1993 ◽

pp. 835-838

Author(s):

Athanassios A. ANASTASSOPOULOS ◽

Stephen A. PAIPETIS ◽

Danny VAN HEMELRIJCK ◽

Patrick DE WILDE ◽

Borj PIRSON

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Pattern Recognition Analysis ◽

Defect Characterisation

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Signal processing for eddy current nondestructive evaluation Signal processing and pattern recognition in nondestructive evaluation of materials, Proceedings of the NATO advanced research workshop, Lac Beauport, Quebec (Canada) 19–22 Aug. 1987, pp. 129–144 Springer Verlag, Berlin Heidelberg (1988)

NDT & E International ◽

10.1016/0963-8695(90)90199-s ◽

1990 ◽

Vol 23 (6) ◽

pp. 360

Author(s):

S Udpa

Keyword(s):

Pattern Recognition ◽

Signal Processing ◽

Nondestructive Evaluation ◽

Eddy Current ◽

Research Workshop

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Pattern Recognition and Signal Processing

10.1007/978-94-009-9941-1 ◽

1978 ◽

Cited By ~ 6

Keyword(s):

Pattern Recognition ◽

Signal Processing

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Automatic quality control systems based on pattern recognition and sparse signal processing

10.14209/sbrt.2019.1570558812 ◽

2019 ◽

Author(s):

Diogo Palma ◽

Leonardo Duarte

Keyword(s):

Pattern Recognition ◽

Quality Control ◽

Signal Processing ◽

Control Systems ◽

Sparse Signal ◽

Sparse Signal Processing ◽

Automatic Quality Control

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