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1. |
Record Nr. |
UNINA9910792748703321 |
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Autore |
Bradshaw G. A. |
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Titolo |
Carnivore Minds : Who These Fearsome Animals Really Are / / G. A. Bradshaw |
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Pubbl/distr/stampa |
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New Haven, CT : , : Yale University Press, , [2017] |
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©2017 |
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ISBN |
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Descrizione fisica |
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1 online resource (362 pages) : illustrations |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front matter -- Contents -- Giving Voice to Animals. A Naturalist's Note -- Foreword -- Preface -- Introduction. A Tension of Opposites -- 1. White Sharks: Personalities -- 2. Grizzly Bears: How Brains and Minds Develop -- 3. Orcas: Sense of Self and Moral Evolution -- 4. Crocodiles: Emotional Intelligence -- 5 Rattlesnakes: Sensibilities and Social Life -- 6. Pumas: Psychological Trauma -- 7. Coyotes: The Predator Complex -- Epilogue. Pax Carnivora -- Notes -- Acknowledgments -- Index |
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Sommario/riassunto |
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Myth and media typically cast animals we consider predators or carnivores as unthinking killers-dangerous, unpredictable, and devoid of emotion. But is this portrait valid? By exploring their inner lives, this pioneering book refutes the many misperceptions that hide the true nature of these animals. We discover that great white sharks express tender maternal feelings, rattlesnakes make friends, orcas abide by an ancient moral code, and much more. Using the combined lenses of natural history, neuroscience, and psychology, G. A. Bradshaw describes how predators share the rainbow of emotions that humans experience, including psychological trauma. Renowned for leading research on post-traumatic stress disorder (PTSD) in elephants and other species, Bradshaw decries the irrational thinking behind wildlife policies that equate killing carnivores with "conservation." In its place, she proposes a new, ethical approach to coexistence with the planet's fiercest animals. |
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2. |
Record Nr. |
UNINA9910437889803321 |
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Autore |
Hunger Raphael |
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Titolo |
Analysis and transceiver design for the MIMO broadcast channel / / Raphael Hunger |
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Pubbl/distr/stampa |
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Heidelberg, : Springer, 2012 |
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ISBN |
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1-283-63148-2 |
9786613943934 |
3-642-31692-1 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (322 p.) |
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Collana |
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Foundations in signal processing, communications and networking, , 1863-8538 ; ; v. 8 |
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Disciplina |
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Soggetti |
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Radio - Transmitter-receivers - Design and construction |
MIMO systems |
Wireless communication systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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System Models -- Dualities for the MIMO BC and the MIMO MAC with Linear Transceivers -- Rate Duality with Nonlinear Interference Cancelation -- Matrix-Based Gradient-Projection Algorithm -- MIMO BC Transceiver Design with Interference Cancelation -- Asymptotic High Power Analysis of the MIMO BC -- Description of the Quality of Service Feasibility Region. |
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Sommario/riassunto |
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This book deals with the optimization-based joint design of the transmit and receive filters in MIMO broadcast channel in which the user terminals may be equipped with several antenna elements. Furthermore, the maximum performance of the system in the high power regime as well as the set of all feasible quality-of-service requirements is analyzed. First, a fundamental duality is derived that holds between the MIMO broadcast channel and virtual MIMO multiple access channel. This duality construct allows for the efficient solution of problems originally posed in the broadcast channel in the dual domain where a possibly hidden convexity can often be revealed. On the basis of the established duality result, the gradient-projection algorithm is introduced as a tool to solve constrained optimization |
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problems to global optimality under certain conditions. The gradient-projection tool is then applied to solving the weighted sum rate maximization problem which is a central optimization that arises in any network utility maximization. In the high power regime, a simple characterization of the obtained performance becomes possible due to the fact that the weighted sum rate utility converges to an affine asymptote in the logarithmic power domain. We find closed form expressions for these asymptotes which allows for a quantification of the asymptotic rate loss that linear transceivers have to face with respect to dirty paper coding. In the last part, we answer the fundamental question of feasibility in quality-of-service based optimizations with inelastic traffic that features strict delay constraints. Under the assumption of linear transceivers, not every set of quality-of-service requirements might be feasible making the power minimization problem with given lower bound constraints on the rate for example infeasible in these cases. We derive a complete description of the quality-of-service feasibility region for arbitrary channel matrices. |
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