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Everything about Common spatial pattern
Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Common spatial patternA 5-minute orientation
- Skim a recent paper: Parkinson’s Disease Detection from Resting-State EEG Signals Using Common Spatial Pattern, Entropy, and Machine Learning TechniquesInfluential work since 2022
- Pick up a classic book: Technical CommunicationThe most-reprinted book on the subject
- Read the landmark paper: Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural NetworkCited 309 times
- Go sideways: Partial correlationA closely related topic
- Go sideways: Dual basisA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network
A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces
Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting
Composite Common Spatial Pattern for Subject-to-Subject Transfer
Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification
SPATIAL PATTERN OF RISK OF COMMON RAVEN PREDATION ON DESERT TORTOISES
Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern
Frequency-Optimized Local Region Common Spatial Pattern Approach for Motor Imagery Classification
🆕 Influential since 2022
Parkinson’s Disease Detection from Resting-State EEG Signals Using Common Spatial Pattern, Entropy, and Machine Learning Techniques
Deep Common Spatial Pattern based Motor Imagery Classification with Improved Objective Function
CSP-Net: Common spatial pattern empowered neural networks for EEG-based motor imagery classification
Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model
Common spatial pattern-based feature extraction and worm gear fault detection through vibration and acoustic measurements
📚 Books worth reading
Technical CommunicationJohn M. Lannon · 2000
Firefighter exam for dummiesStacy L. Bell · 2010
The new stereo soundbookF. Alton Everest · 1992
Computer Vision - ACCV 2012 WorkshopsJong-Il Park · 2013
Annual review of neuroscienceSteven E. Hyman, Thomas M. Jessell · 2012- 📕Politics of Urban PotentialityStavros Stavrides, Massimo De Angelis · 2024
Logic, the theory of inquiryJohn Dewey · 1938
Varieties of sexual experienceSuzanne G. Frayser · 1985
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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