Introduction to Digital Communications (1版)

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Master the fundamentals of digital communications systems with this accessible and hands-on introductory textbook, carefully interweaving theory and practice. The just-in-time approach introduces essential background as needed, keeping academic theory firmly linked to practical applications. The example-led teaching frames key concepts in the context of real-world systems, such as 5G, WiFi, and GPS. Stark provides foundational material on the trade-offs between energy and bandwidth efficiency, giving students a solid grounding in the fundamental challenges of designing digital communications systems. Features include over 300 illustrative figures, 80 examples, and 130 end-of-chapter problems to reinforce student understanding, with solutions for instructors. Accompanied online by lecture slides, computational MATLAB® and Python resources, and supporting data sets, this is the ideal introduction to digital communications for senior undergraduate and graduate students in electrical engineering.

A Computational Introduction to Digital Image Processing (2版)

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【簡介】 Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. New to the Second Edition This second edition provides users with three different computing options. Along with MATLAB(R), this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics. Principles, Practices, and Programming Based on the author's successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material. 【目錄】

數位影像處理 (McAndrew: A Computational Introduction to Digital Image Processing 2/E)

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書名：數位影像處理 2/e 作者：(McAndrew)林道通 出版社：高立 出版日期：2020/07/01 ISBN：9789863781455 　本書是一本緊密結合數位影像處理理論與應用的入門書。本書以時下最為熱門的 MATLAB、GNU Octave、Python 與影像處理工具箱為基礎進行影像處理，徹底探討數位影像處理相關主題，包括空間濾波、傅利葉轉換、影像復原、影像分割、形態學、影像拓撲學、色彩處理、影像壓縮、小波與特殊效果等。 本書特色： 採用最新且熱門的 MATLAB、GNU Octave、Python 程式、影像、操作流程和練習題。搭配影像處理工具箱提供具有彈性和容易使用的影像處理環境。 運用離散方法結合微積分理論與離散運算，將理論與實際連結。 重點章節附有豐富的範例影像，並搭配 MATLAB、GNU Octave、Python 指令說明。 提供各式習題方便實際操作練習。 目錄 Ch01　導　論 Ch02　影像檔案與檔案類型 Ch03　影像顯示 Ch04　點處理 Ch05　鄰域處理 Ch06　影像幾何 Ch07　傅立葉轉換 Ch08　影像復原 Ch09　影像分割 Ch10　數學形態學 Ch11　影像拓撲學 Ch12　形狀與邊界 Ch13　色彩處理 Ch14　影像編碼與壓縮 Ch15　小　波 Ch16　特殊效果 附錄A　MATLAB與Octave簡介 附錄B　Python簡介 附錄C　快速傅立葉轉換 參考書目 中英文索引