For a physicist, noise is not just about sounds, but refers to any random physical process that blurs measurements, and in so doing stands in the way of scientific knowledge.
This book deals with the most common types of noise, their properties, and some of their unexpected virtues. The text explains the most useful mathematical concepts related to noise. Finally, the book aims at making this subject more widely known and to stimulate the interest for its study in young physicists.
Author(s): Edoardo Milotti
Series: IOP Concise Physics
Publisher: IOP Publishing
Year: 2019
Language: English
Pages: 79
City: Bristol
PRELIMS.pdf
Preface
Acknowledgments
Author biography
Edoardo Milotti
CH001.pdf
Chapter 1 Cosmic noise
1.1 Radio waves from the sky
1.2 The noise of the cosmos
CH002.pdf
Chapter 2 What is noise?
2.1 Deterministic and random signals
2.2 Statistical properties of noise
2.3 A broad classification of common types of noise
2.4 A few comments on the physicist’s noise and the mathematician’s noise
CH003.pdf
Chapter 3 Mathematical models of noise
3.1 Fourier transforms
3.1.1 Integral representation of Dirac’s delta function
3.2 Energy carried by a signal
3.3 The power spectrum
3.4 The autocorrelation function and the Wiener–Kintchine theorem
3.5 The power spectrum of noise processes
3.5.1 The power spectrum of a point process
3.5.2 White noise
3.6 Brownian motion
3.6.1 Langevin’s equation
3.6.2 Frequency-domain analysis of the Ornstein–Uhlenbeck process
3.7 Thermal noise
3.8 Shot noise
3.9 1/f noise
3.10 The pitfalls of power spectra
CH004.pdf
Chapter 4 The science of Johnson noise
4.1 The Boltzmann constant
4.1.1 Noise thermometry
4.2 Noise temperature of a radio telescope
CH005.pdf
Chapter 5 Final remarks
CH006.pdf
Chapter 6 Further reading
Chapters 1 and 4
Chapters 2 and 3
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