• Publications
  • Influence
Digital Communications
Probability, random variables and stochastic processes
  • J. Proakis
  • Mathematics, Computer Science
  • IEEE Trans. Acoust. Speech Signal Process.
  • 1 December 1985
Digital Signal Processing: Principles, Algorithms, and Applications
1. Introduction. 2. Discrete-Time Signals and Systems. 3. The Z-Transform and Its Application to the Analysis of LTI Systems. 4. Frequency Analysis of Signals and Systems. 5. The Discrete FourierExpand
Discrete-Time Processing of Speech Signals
Preface to the IEEE Edition. Preface. Acronyms and Abbreviations. SIGNAL PROCESSING BACKGROUND. Propaedeutic. SPEECH PRODUCTION AND MODELLING. Fundamentals of Speech Science. Modeling SpeechExpand
Fading Channels: Information-Theoretic and Communication Aspects
TLDR
In this paper we review the most peculiar and interesting information-theoretic and communications features of fading channels. Expand
Communication Systems Engineering
TLDR
(NOTE: Each chapter concludes with Further Reading and Problems.) 1. Introduction to Modulation. 2. Frequency Domain Analysis of Signals and Systems. 3. Effects of Transmission Losses and Noise in Analog Communication Systems. 4. Effect of Noise on Linear-Modulation Systems. 5. Coding for Reliable Communication. 6. Practical Applications of Coding. Expand
Phase-coherent digital communications for underwater acoustic channels
High-speed phase coherent communications in the ocean channel are made difficult by the combined effects of large Doppler fluctuations and extended, time-varying multipath. In order to account forExpand
Constant Envelope OFDM
TLDR
This paper describes a transformation technique aimed at solving the peak-to-average power ratio (PAPR) problem associated with OFDM (orthogonal frequency-division multiplexing). Expand
Underwater acoustic networks
With the advances in acoustic modem technology that enabled high-rate reliable communications, current research focuses on communication between various remote instruments within a networkExpand
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