Woon S. Signal Processing and Image Processing for Acoustical Imaging 2020
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Woon S. Signal Processing and Image Processing for Acoustical Imaging 2020
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Description:
Textbook in PDF format
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.
Preface
What is Signal?
Fourier Series
Fourier Transform
Discrete Fourier Transform
Fast Fourier Transform
Convolution, Correlation, and Power Spectral Density
Wiener Filter and Kalman Filter
Higher Order Statistics
Digital Signal Processing
Digital Image Processing
Digital Image Filtering
Digital Image Enhancement
Deep Learning and Artificial Neural Networks
Practical Cases of Applications of Artificial Intelligence to Acoustical Imaging