This book examines the interference involved with instruments that employ electronic techniques to measure physical quantities, including random fluctuations from thermal or background sources and systematic signal drift or offset. It fully analyzes 1/f as well as white noise and also discusses the theory and practice of baseline correction, low-pass filtering, multiple time averaging, and phase-sensitive detection. The author explores the best way of measuring the amplitude or the time of occurrence of a signal of known shape. New to this edition are an additional chapter, frequency measurement, and tutorial questions with answers to test understanding of the subject matter.

Signal Recovery from Noise in Electronic Instrumentation, Second Edition

Science & Math

Wilmshurst, T. H.

Physics

Taylor&Francis

The subject of this book is the recovery of signals from noise in electronic instrumentation. The term "electronic instrumentation" is sometimes reserved for instruments such as the oscilloscope and testmeter which are used to measure specifically electrical variables. It should therefore be made clear that the scope of the book goes much beyond this and covers instrumentation for the measurement of any variable, whether electrical or not. The term "electronic" simply implies that electronic techniques are used in the process of measurement. The term "noise" also requires clarification. Until recently, it was used mainly to refer to random fluctuations such as white and 1/F noise. Now, the term is used to refer to almost any kind of unwanted signal in an electronic system. It is in the broader sense that the term is used in the title, since the recovery of the required signal from many kinds of unwanted signal is covered. These comprise offset, drift, random noise comprising white and 1/F noise, and interference. The text is intended for anyone who is involved in the development of electronic instrumentation.

Signal Recovery from Noise in Electronic Instrumentation

Inst of Physics Pub Inc

<i>Analog Circuit Techniques</i> uses an analytical approach, backed up with numerous experimental exercises and worked examples. It is designed to deliver the core content of a three year degree course in a single volume, which makes it an ideal core adoption text, and an essential reference text for a wide range of students. A comprehensive analog electronics text for first degrees and conversion courses. Dr Wilmshurst has drawn on his experience running an MSc conversion and other courses to produce this single volume text which covers all the analog electronics needed in a wide range of higher education programmes: first degrees in electronic engineering, experimental science courses, MSc electronics and electronics units for HNDs. The chapter on audio amplifiers includes an invaluable example of the application of SPICE simulation.

Analog Circuit Techniques: With Digital Interfacing

Business & Money

Job Hunting & Careers

Butterworth-Heinemann

Signal recovery from noise in electronic instrumentation

Engineering & Transportation

Engineering

A. Hilger

Covering all aspects of the subject, Signal Recovery from Noise in Electronic Instrumentation, Second Edition examines the interference involved with instruments that employ electronic techniques to measure physical quantities, including random fluctuations from thermal or background sources and systematic signal drift or offset. In the case of random noise, the book fully analyzes 1/f as well as white noise. It also discusses the theory and practice of baseline correction, low-pass filtering, multiple time averaging, and phase-sensitive detection. The author explores the best way of measuring the amplitude or the time of occurrence of a signal of known shape. New to this edition are an additional chapter, frequency measurement, and tutorial questions with answers to test understanding of the subject matter. This book will be indispensable to advanced electronics undergraduates, nonspecialist postgraduates using electronic instrumentation, and applied scientists.

CRC-Press

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