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Source: The Open Library
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1Signal Processing and Machine Learning for Brain-Machine Interfaces
By Mahnaz Arvaneh
“Signal Processing and Machine Learning for Brain-Machine Interfaces” Metadata:
- Title: ➤ Signal Processing and Machine Learning for Brain-Machine Interfaces
- Author: Mahnaz Arvaneh
- Number of Pages: Median: 360
- Publisher: ➤ The Institution of Engineering and Technology
- Publish Date: 2018
“Signal Processing and Machine Learning for Brain-Machine Interfaces” Subjects and Themes:
- Subjects: ➤ Brain-computer interfaces - Decoders (Electronics) - Electroencephalography - Medical technology - Signal processing - Medical Laboratory Science - Interfaces cerveau-ordinateur - Décodeurs (Électronique) - Électroencéphalographie - Technologie médicale - Traitement du signal - COMPUTERS - General - Decoding - Medical signal processing - Neural net architecture - Spatial filters - Unsupervised learning
Edition Identifiers:
- The Open Library ID: OL27803232M
- Online Computer Library Center (OCLC) ID: 1054199219
- All ISBNs: 1785613987 - 9781785613982
Access and General Info:
- First Year Published: 2018
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Access
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Wiki
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Wikipedia Results
Search Results from Wikipedia
Spatial filter
illumination, which applies spatial filtering to incoherent light for microscopy Pinhole camera "Understanding Spatial Filters". Edmund Optics website. Edmund
Interference filter
application of dichroic filters is spatial filtering. With a technique licensed from Infitec, Dolby Labs uses dichroic filters for screening 3D movies
Thin-film optics
headlights, and for high precision optical filters and mirrors. Another application of these coatings is spatial filtering. The blue wing patches of the Aglais
Pinhole (optics)
eclipse. "Understanding Spatial Filters". Edmund Optics website. Edmund Optics. Retrieved 13 January 2014. "Spatial Filters". Newport website. Newport
Beamforming
Beamforming or spatial filtering is a signal processing technique used in sensor arrays for directional signal transmission or reception. This is achieved
Filter (signal processing)
depends on future input. Filters processing time-domain signals in real time must be causal, but not filters acting on spatial domain signals or deferred-time
Gaussian filter
Transmission Systems, p. 242, John Wiley & Sons, 2008 ISBN 047051681X "Spatial Filters - Gaussian Smoothing". homepages.inf.ed.ac.uk. Retrieved 2024-12-19
Array processing
geometries. Array structure can be defined as a set of sensors that are spatially separated, e.g. radio antenna and seismic arrays. The sensors used for
Bloom filter
Bloom filter. The size of counters is usually 3 or 4 bits. Hence counting Bloom filters use 3 to 4 times more space than static Bloom filters. In contrast
Gaussian blur
PMC 10160219. PMID 36689001. Fisher, Perkins, Walker & Wolfart (2003). "Spatial Filters - Laplacian of Gaussian". Retrieved 2010-09-13.{{cite web}}: CS1 maint: