Martin hänggi (37 risultati)

8°, Broschiert. Condizione: Gut. 23 S., Originalbroschur. Ausstellungskatalog. Sauber und guter Zustand. Due to new EU packaging regulations, we are currently unable to ship to many EU countries. Shipping to Germany, the Netherlands, Ireland, Finland, and the Baltic states is possible. Deliveries to border-based parcel lockers or cross-border parcel forwarding services remain possible. Shipping to all countries outside the EU also remains possible. Sprache: Deutsch Gewicht in Gramm: 200.…

Condizione: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2012. 1st Edition. Hardcover. Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry. Num Pages: 302 pages, 67 b/w illus. 2 tables 111 exercises. BIC Classification: PBT; PBWL; THR; TJK; UT; UY. Category: (U) Tertiary Education (US: College). Dimension: 249 x 179 x 21. Weight in Grams: 686. 298 pages, 67 b/w illus. 2 tables 111 exercises. Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry. Cateogry: (U) Tertiary Education (US: College). BIC Classification: PBT; PBWL; THR; TJK; UT; UY. Dimension: 249 x 179 x 21. Weight: 680. . . . . . …

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.…

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at low power consumption is required. Signal processing via CNNs only becomes efficient if the network is implemented in analog hardware. In view of the physical limitations that analog implementations entail, robust operation of a CNN chip with respect to parameter variations has to be insured. By far not all mathematically possible CNN tasks can be carried out reliably on an analog chip; some of them are inherently too sensitive. This book defines a robustness measure to quantify the degree of robustness and proposes an exact and direct analytical design method for the synthesis of optimally robust network parameters. The method is based on a design centering technique which is generally applicable where linear constraints have to be satisfied in an optimum way. Processing speed is always crucial when discussing signal-processing devices. In the case of the CNN, it is shown that the setting time can be specified in closed analytical expressions, which permits, on the one hand, parameter optimization with respect to speed and, on the other hand, efficient numerical integration of CNNs. Interdependence between robustness and speed issues are also addressed. Another goal pursued is the unification of the theory of continuous-time and discrete-time systems. By means of a delta-operator approach, it is proven that the same network parameters can be used for both of these classes, even if their nonlinear output functions differ. More complex CNN optimization problems that cannot be solved analytically necessitate resorting to numerical methods. Among these, stochastic optimization techniques such as genetic algorithms prove their usefulness, for example in image classificationproblems. Since the inception of the CNN, the problem of finding the network parameters for a desired task has been regarded as a learning or training problem, and computationally expensive methods derived from standard neural networks have been applied. Furthermore, numerous useful parameter sets have been derived by intuition. In this book, a direct and exact analytical design method for the network parameters is presented. The approach yields solutions which are optimum with respect to robustness, an aspect which is crucial for successful implementation of the analog CNN hardware that has often been neglected. `This beautifully rounded work provides many interesting and useful results, for both CNN theorists and circuit designers.' Leon O. Chua.…

Paperback. Condizione: Brand New. 160 pages. 9.00x6.00x0.37 inches. In Stock.

Taschenbuch. Condizione: Neu. Cellular Neural Networks | Analysis, Design and Optimization | Martin Hänggi (u. a.) | Taschenbuch | xi | Englisch | 2010 | Springer | EAN 9781441949882 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: New. 2012. 1st Edition. Hardcover. Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry. Num Pages: 302 pages, 67 b/w illus. 2 tables 111 exercises. BIC Classification: PBT; PBWL; THR; TJK; UT; UY. Category: (U) Tertiary Education (US: College). Dimension: 249 x 179 x 21. Weight in Grams: 686. 298 pages, 67 b/w illus. 2 tables 111 exercises. Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry. Cateogry: (U) Tertiary Education (US: College). BIC Classification: PBT; PBWL; THR; TJK; UT; UY. Dimension: 249 x 179 x 21. Weight: 680. . . . . . Books ship from the US and Ireland. …

Condizione: New. pp. 298.

Hardcover. Condizione: Brand New. 1st edition. 288 pages. 9.76x1.10x6.85 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.…

Condizione: New. BRAND NEW. book.

Hardback. Condizione: New. Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.…

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condizione: New. Paperback. Pub Date: 2020-07-01 Pages: 312 Language: English Publisher: World Book Publishing Company This book introduces an important mathematical tool for wireless network performance modeling-random geometry.?This powerful tool can estimate the performance limits of wireless networks and provide help for future wireless network architecture and protocol design.?Starting from some basic knowledge of probability theory. this book integrates mathematical theories and practical engineering ap.…

Condizione: new. Questo è un articolo print on demand.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at.…