This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included.
This textbook provides a comprehensive and current understanding of signal detection and estimation, including problems and solutions for each chapter. Signal detection plays an important role in fields such as radar, sonar, digital communications, image processing, and failure detection. The book explores both Gaussian detection and detection of Markov chains, presenting a unified treatment of coding and modulation topics. Addresses asymptotic of tests with the theory of large deviations, and robust detection. This text is appropriate for students of Electrical Engineering in graduate courses in Signal Detection and Estimation.
This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included.
Molecular Biotechnology Molecular Biotechnology Principles and Applications of Recombinant DNA SIXTH EDITION An authoritative introduction to the fast-changing world of molecular biotechnology In continuous publication since 1994 and now in its sixth edition, Molecular Biotechnology: Principles and Applications of Recombinant DNA has been effective in introducing this complex field to students for more than 25 years. This textbook covers essentially every aspect of the field of molecular biotechnology, which is constantly changing and adapting in light of new advances. This edition includes the latest techniques in DNA sequencing and genetic engineering of microbial, plant, and animal genomes, including human genome editing, as well as updates across many areas, such as: Immunological assays for disease diagnosis, more effective bacteriophage therapy, and new ways of dealing with antibiotic-resistant bacteria New and developing vaccines for influenza, tuberculosis, and emerging viral threats, including Zika and SARS-CoV-2 Engineering bacteria to perform plastic degradation and green algae to produce hydrogen, altering amino acid biosynthesis, and creating designer cellulosomes Production of humanized monoclonal antibodies in plants, modifying hybrid plants to produce clonal hybrids, and protecting plants from viral and fungal diseases Molecular Biotechnology features nearly 600 detailed figures and is an ideal textbook for undergraduate and graduate courses in introductory biotechnology, as well as courses dedicated to utilizing this technology, such as medical, agricultural, environmental, and industrial biotechnology applications.
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