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OverviewElectronic nose (e-nose) is a sensing device that can detect and recognize various odors or gases in the environment. E-nose technology has various applications in different fields, including quality control, food safety, and medical diagnosis. Signal processing plays a crucial role in improving the performance and accuracy of e-nose devices. The signal processing techniques include feature extraction, pattern recognition, machine learning, data fusion, and statistical analysis. Various signal processing techniques such as artificial neural networks (ANN), support vector machines (SVM), principal component analysis (PCA), independent component analysis (ICA), wavelet analysis, Fourier analysis, and time-frequency analysis have been used for e-nose applications. These techniques help in identifying the odor and gases present in the environment and classifying them based on their chemical composition. E-nose can thus be used as a cost-effective and portable tool for odor identification, quality control, and safety assurance in different fields. Full Product DetailsAuthor: Prabha VermaPublisher: Independent Author Imprint: Independent Author Dimensions: Width: 15.20cm , Height: 1.10cm , Length: 22.90cm Weight: 0.272kg ISBN: 9783848966646ISBN 10: 3848966646 Pages: 198 Publication Date: 27 March 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Temporarily unavailable  The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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