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Noise theory of linear and nonlinear circuits
Authors: ---
ISBN: 047194825X 9780471948254 Year: 1995 Publisher: Chichester: Wiley,

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The design of low noise oscillators
Authors: ---
ISBN: 0792384555 0306481995 9780792384557 Year: 1999 Publisher: Boston: Kluwer,

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It is hardly a revelation to note that wireless and mobile communications have grown tremendously during the last few years. This growth has placed stringent requi- ments on channel spacing and, by implication, on the phase noise of oscillators. C- pounding the challenge has been a recent drive toward implementations of transceivers in CMOS, whose inferior 1/f noise performance has usually been thought to disqualify it from use in all but the lowest-performance oscillators. Low noise oscillators are also highly desired in the digital world, of course. The c- tinued drive toward higher clock frequencies translates into a demand for ev- decreasing jitter. Clearly, there is a need for a deep understanding of the fundamental mechanisms g- erning the process by which device, substrate, and supply noise turn into jitter and phase noise. Existing models generally offer only qualitative insights, however, and it has not always been clear why they are not quantitatively correct.

Noise reduction by wavelet thresholding
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ISBN: 0387952446 1461301459 9780387952444 Year: 2001 Volume: 161 Publisher: New York: Springer,

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Wavelet methods have become a widely spread tool in signal and image process­ ing tasks. This book deals with statistical applications, especially wavelet based smoothing. The methods described in this text are examples of non-linear and non­ parametric curve fitting. The book aims to contribute to the field both among statis­ ticians and in the application oriented world (including but not limited to signals and images). Although it also contains extensive analyses of some existing methods, it has no intention whatsoever to be a complete overview of the field: the text would show too much bias towards my own algorithms. I rather present new material and own insights in the questions involved with wavelet based noise reduction. On the other hand, the presented material does cover a whole range of methodologies, and in that sense, the book may serve as an introduction into the domain of wavelet smoothing. Throughout the text, three main properties show up ever again: sparsity, locality and multiresolution. Nearly all wavelet based methods exploit at least one of these properties in some or the other way. These notes present research results of the Belgian Programme on Interuniver­ sity Poles of Attraction, initiated by the Belgian State, Prime Minister's Office for Science, Technology and Culture. The scientific responsibility rests with me. My research was financed by a grant (1995 - 1999) from the Flemish Institute for the Promotion of Scientific and Technological Research in the Industry (IWT).

Keywords

Stochastic processes --- Numerical approximation theory --- Electronics --- Signal processing --- Electronic noise --- Wavelets (Mathematics) --- Active noise and vibration control. --- Traitement du signal --- Bruit électronique --- Ondelettes --- Contrôle actif du bruit et des vibrations --- Digital techniques --- Statistical methods. --- Automatic control. --- Techniques numériques --- Méthodes statistiques --- Commande automatique --- Statistical methods --- Automatic control --- 681.3*I43 --- -Signal processing --- -Wavelets (Mathematics) --- Wavelet analysis --- Harmonic analysis --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Noise, Electronic --- Electric noise --- Enhancement: filering; geometric correction; grayscale manipulation; registration; sharpening and deblurring; smoothing (Image processing) --- -Statistical methods --- Basic Sciences. Statistics --- Statistics (General) --- Active noise and vibration control --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Telecommunications --- Wavelets (Mathematics). --- Statistics (General). --- 681.3*I43 Enhancement: filering; geometric correction; grayscale manipulation; registration; sharpening and deblurring; smoothing (Image processing) --- Bruit électronique --- Contrôle actif du bruit et des vibrations --- Techniques numériques --- Méthodes statistiques --- Active noise and vibration cancellation --- Active noise control --- Active vibration control --- ANVC (Active noise and vibration control) --- Electro-acoustics --- Acoustic impedance --- Digital techniques&delete& --- Applied mathematics. --- Engineering mathematics. --- Vibration. --- Dynamical systems. --- Dynamics. --- Statistics . --- Mathematical and Computational Engineering. --- Vibration, Dynamical Systems, Control. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Cycles --- Sound --- Engineering --- Engineering analysis --- Mathematical analysis --- Information, Théorie de l' --- Signal processing - Digital techniques - Statistical methods --- Electronic noise - Automatic control --- Theorie du signal

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