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match, and have the potential to surpass, that of silver-halide film cameras. Image Sensors and Signal Processing for Digital Still Cameras;
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, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal;
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, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;
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With the constant increase in applications involving image processing and multimedia procedures digital signal processing (DSP;
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speeds. The authors provide a comprehensive overview of data acquisition and signal processing methods for the new generation of smart and quasi;
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Signal and image processing incorporates three fundamental areas: signal processing, adaptive filters and image processing. This book;
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, and meet the desired electrical consumption target for controlling carbon emissions. Signals and Images: Advances and Results in Speech;
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, and meet the desired electrical consumption target for controlling carbon emissions. Signals and Images: Advances and Results in Speech;
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in achieving lower signal noise, and new applications for consumer markets. The fundamentals section has also been expanded to include a chapter;
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includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data;
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world of signal and image processing. As well as providing a thorough discussion of the basics of both analog and digital signal and image;
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representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing;
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representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing;
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analytical procedures that form the basis for modern DSP applications. Digital Signal Processing: Principles, Algorithms and System Design;
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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and;
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characterization of continuous images, image sampling and quantization techniques, and two-dimensional signal processing techniques. It then covers the two;
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images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as;
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Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential;
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Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential;
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Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;
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Michael Freeman has a well-earned reputation for effectively explaining the concepts behind digital picture-taking. Here, he turns his;
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of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book;
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Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing;
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Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;
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