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.Low-pass filtering and visual averaging: Overview. Low-pass filtering of shot noise. Visual averaging. Baseline subtraction. Multiple time averaging and drift: Multiple time averaging methods. Drift. Multiple time averaging by oscilloscope. Multiple time averaging by computer. Phase-sensitive detector methods: Adaptation of resistor bridge strain gauge. AC coupled amplifier. Drift rejection of PSD. White noise error. Miscellaneous applications. Spectral view of signal recovery: General method. Spectral noise component. Pulse spectrum. Dependence of white noise amplitude upon bandwidth. Noise waveform. Spectral and time-domain views of signal pulse recovery. Shot noise amplitude. Thermal noise amplitude. 1/f noise: General properties. Measurement time independence. Response to combined 'noise'. Experimental result. Frequency response calculations. Low-pass filter. Running average. Visual averaging. Baseline offset correction. Sloping baseline correction. Step measurement. Spatial frequency components of 1/f nls8