Rong Wu - Böcker

This book presents innovative solutions in the design of precision instrumentation amplifier and read-out ICs, which can be used to boost millivolt-level signals transmitted by modern sensors, to levels compatible with the input ranges of typical Analog-to-Digital Converters (ADCs).  The discussion includes the theory, design and realization of interface electronics for bridge transducers and thermocouples. It describes the use of power efficient techniques to mitigate low frequency errors, resulting in interface electronics with high accuracy, low noise and low drift. Since this book is mainly about techniques for eliminating low frequency errors, it describes the nature of these errors and the associated dynamic offset cancellation techniques used to mitigate them.

This book presents innovative solutions in the design of precision instrumentation amplifier and read-out ICs, which can be used to boost millivolt-level signals transmitted by modern sensors, to levels compatible with the input ranges of typical Analog-to-Digital Converters (ADCs).  The discussion includes the theory, design and realization of interface electronics for bridge transducers and thermocouples. It describes the use of power efficient techniques to mitigate low frequency errors, resulting in interface electronics with high accuracy, low noise and low drift. Since this book is mainly about techniques for eliminating low frequency errors, it describes the nature of these errors and the associated dynamic offset cancellation techniques used to mitigate them.

Beginning with a problem raised by the late Chinese mathematician Loo-Keng Hua, and the author's solution, this book discusses general Markov chains, a subject extremely popular in China in the fifties/sixties. The author emphasizes methodology like the first entrance and last exit decompositions, leading to the most beautiful results by Kolmogorov, Doeblin, and himself. Next he discusses the continuous time case in which names like Paul Lévy and Doob enter and there are hard analytic problems such as differentiability and systems of differential equations which are nicely solved. Next he introduces Brownian motion or Wiener process as the most famous Markov process, relates the probability theory to grand old mathematical-physics associated with Green, Dirichlet, Schrodinger and Feynman. Finally there comes an excursion into general probabilistic methodology. This book contains many examples and exercises with hints and discussions.