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Signal Processing and Image Processing for Acoustical Imaging [electronic resource] / by Woon Siong Gan.

By: Gan, Woon Siong [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XII, 83 p. 16 illus., 8 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811055508.Subject(s): Signal processing | Acoustical engineering | Acoustics | Computer vision | Signal, Speech and Image Processing | Engineering Acoustics | Acoustics | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
1.Two-Dimensional Transform, FFT & its Applications -- 2.Discrete Hilbert Transform, Z Transform -- 3.Deconvolution -- 4.Higher Order Statistics -- 5.Wavelets -- 6.Neural Networks -- 7.Digital Signal Processing-Homomorphic Signal Processing -- 8.Digital Filter Design -- 9.Array Signal Processing -- 10.Image Enhancement & Optimization -- 11.Image Restoration -- 12.Image Compression -- 13.Conclusions.
In: Springer Nature eBookSummary: This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved – the 2D transform, fast Fourier transform (FFT) and applications, and deconvolution – before introducing readers to higher-order statistics, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal processing. The book then details the design of digital filters and array signal processing, and lastly examines applications in image processing: image enhancement and optimization, image restoration, and image compression.
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1.Two-Dimensional Transform, FFT & its Applications -- 2.Discrete Hilbert Transform, Z Transform -- 3.Deconvolution -- 4.Higher Order Statistics -- 5.Wavelets -- 6.Neural Networks -- 7.Digital Signal Processing-Homomorphic Signal Processing -- 8.Digital Filter Design -- 9.Array Signal Processing -- 10.Image Enhancement & Optimization -- 11.Image Restoration -- 12.Image Compression -- 13.Conclusions.

This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved – the 2D transform, fast Fourier transform (FFT) and applications, and deconvolution – before introducing readers to higher-order statistics, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal processing. The book then details the design of digital filters and array signal processing, and lastly examines applications in image processing: image enhancement and optimization, image restoration, and image compression.

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