List of Figures

Chapter 1: Introduction

Fig. 2.1: A sample of a periodic signal
Fig. 2.2: Checking for correlation: noise signals 1 and 2 are completely correlated, 3 and 4 are partially correlated, but 1 and 3 (or 2 and 4, or 1 and 4, or 2 and 3) are independent
Fig. 2.3: Superposition of two signals
Fig. 2.4: Ensemble of 4 samples belonging to the same random process
Fig. 2.5: Various degrees of correlation for two random variables: a uncorrelated; b weak correlation; c strong linear correlation
Fig. 2.6: Autocorrelation functions for two different samples
Fig. 2.7: Relationship between the bilateral power density S (f) and the unilateral power density S(f)
Fig. 2.8: Measuring: a the real part, and b the imaginary part of the cross-power at a specified frequency f _o
Fig. 2.9: Circuit with 2 partially correlated generators
Fig. 2.10: Example of a noisy circuit

Fig. 3.1: a Spontaneous clustering of free electrons at one end, b Thermal noise voltage versus time
Fig. 3.2: a Noisy resistor, b Th venin equivalent circuit, c Norton equivalent circuit
Fig. 3.3: a Electron clustering during flight between two plates; b elementary current pulses
Fig. 3.4: Photon exchange between the detector and its environment
Fig. 3.5: Power spectral density of 1/f noise (b = 1)
Fig. 3.6: Typical waveforms for popcorn (burst) noise
Fig. 3.7: Carrier...

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