Fundamentals of Communication Theory: Analog to Digital
暫譯: 傳播理論基礎:從類比到數位

Pillai, Unnikrishna, Patel, Anuj

  • 出版商: Springer
  • 出版日期: 2026-06-27
  • 售價: $2,700
  • 貴賓價: 9.5$2,565
  • 語言: 英文
  • 頁數: 167
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032206146
  • ISBN-13: 9783032206145
  • 相關分類: 通訊系統 Communication-systems
  • 海外代購書籍(需單獨結帳)

商品描述

This unique textbook - made up of classroom slides and relevant context from the authors' course at NYU - provides a clear, step-by-step journey from the fundamentals of signal analysis to the sophisticated modulation and detection strategies that power today's communication systems. Beginning with intuitive treatments of Fourier Series, Fourier Transforms, and Nyquist's Sampling Theorem, the book builds the mathematical intuition students need to move confidently into analog and digital modulation techniques--covering AM (DSB, SSB, VSB), FM, PM, and their behavior in noisy environments. The narrative then turns to modern digital topics such as sampling, quantization, coding, and probabilistic detection for binary and multi-signaling schemes, showing how error probabilities can be driven arbitrarily low with thoughtful waveform design. Rich in worked examples and practical insights, the text equips undergraduates with both the theoretical grounding and hands on perspective required to understand, analyze, and design real world communication links. The book is designed for a semester undergraduate course in Fundamentals of Communication Theory, and the slides are intended to be used and are available digitally.

商品描述(中文翻譯)

這本獨特的教科書 - 由課堂投影片和作者在紐約大學課程中的相關內容組成 - 提供了一個清晰的、逐步的旅程,從信號分析的基本原理到驅動當今通信系統的複雜調變和檢測策略。書中首先以直觀的方式介紹傅立葉級數、傅立葉變換和奈奎斯特取樣定理,幫助學生建立數學直覺,讓他們能夠自信地進入類比和數位調變技術的領域,涵蓋了AM(雙邊帶調變、單邊帶調變、變幅調變)、FM、PM及其在噪聲環境中的行為。接著,內容轉向現代數位主題,如取樣、量化、編碼和二進制及多重信號方案的概率檢測,展示如何通過精心設計的波形將錯誤概率降低到任意低的水平。這本書充滿了實例和實用見解,為本科生提供了理解、分析和設計現實世界通信鏈路所需的理論基礎和實踐視角。本書旨在用於一學期的本科通信理論基礎課程,投影片可供使用並以數位形式提供。

作者簡介

Unnikrishna Pillai received his Ph.D. degree in systems engineering from the University of Pennsylvania in 1985 and MTech in Electrical Engineering from the Indian Institute of Technology, Kanpur, India in 1982. He joined Brooklyn Polytechnic, New York, in 1985 as an assistant professor in electrical engineering, and since 1995 he has been a professor of electrical and computer engineering (currently New York University). He is the author of several widely used textbooks including Probability, Random Variables and Stochastic Processes (A. Papoulis and S. U. Pillai) (2002), has over 250 online video lectures, and has published extensively. He is the 4-th most cited Google scholar under 'Radar.' His research interests include synthetic aperture radar (SAR) imaging, waveform design, power control for wireless mobiles, electronic signal identification, rational and stable approximation of norational systems, array signal processing, portfolio optimization, and applications of non-linear differential equations for modeling physical systems with time-varying characteristics. He is a life Fellow of IEEE.

Anuj Patel received his MS degree in Electrical and Computer Engineering from New York University Tandon School of Engineering (2025) and his undergraduate degree from Vellore Institute of Technology, India (2023). Towards his MS degree, he has worked as a researcher at NYU WIRELESS on Millimeter-Wave Beamforming and MIMO Channel Estimation.

Beyond academics, Patel was also involved with the NYU Tandon Graduate Student Council and the NYU Student Government Assembly. He is the recipient of Emerging Leaders Award, Distinguished Engagement Award and the Tandon Community Excellence Award.

作者簡介(中文翻譯)

Unnikrishna Pillai於1985年在賓夕法尼亞大學獲得系統工程博士學位,並於1982年在印度坎普爾的印度理工學院獲得電機工程碩士學位。他於1985年加入紐約布魯克林理工學院,擔任電機工程助理教授,自1995年以來擔任電機與計算機工程教授(目前為紐約大學)。他是幾本廣泛使用的教科書的作者,包括《Probability, Random Variables and Stochastic Processes》(A. Papoulis和S. U. Pillai著,2002年),擁有超過250個線上視頻講座,並且發表了大量的研究成果。他是Google Scholar中「雷達」領域被引用次數第四高的學者。他的研究興趣包括合成孔徑雷達(SAR)成像、波形設計、無線移動設備的功率控制、電子信號識別、非理性系統的有理和穩定近似、陣列信號處理、投資組合優化,以及非線性微分方程在建模具有時間變化特徵的物理系統中的應用。他是IEEE的終身會士。

Anuj Patel於2025年在紐約大學坦登工程學院獲得電機與計算機工程碩士學位,並於2023年在印度維洛爾理工學院獲得學士學位。在攻讀碩士學位期間,他在NYU WIRELESS擔任研究員,專注於毫米波波束成形和MIMO通道估計。

除了學術之外,Patel還參與了NYU坦登研究生會和NYU學生政府大會。他獲得了新興領導者獎、傑出參與獎和坦登社區卓越獎。