Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Mobile Video Communications. Distortion Analysis and Optimal Design
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Zhifeng Chen and Dapeng Wu
ISBN: 9783848499519
Год издания: 2014
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 148
Издательство: LAP LAMBERT Academic Publishing
Цена: 36982 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли знаний:Код товара: 131976
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: The problem how to convey maximum distinguishable video information while consuming minimum resources has long been investigated since Shannon’s source channel separation theorem. The theorem is derived under the condition that all transmission errors can be corrected by the channel coding to an arbitrarily low probability. However, such a condition usually does not hold in a practical mobile video communication system given the limited resources, such as time, bandwidth, power and space. Therefore, the problem in a practical system can be formulated by “Given the source, channel, resources and system structure, how to optimally control the system parameters to minimize the end-to-end distortion.” This book first derives analytical models and designs estimation algorithms to accurately predict the distortion given random source and random channel. Solutions with low complexity are then provided to minimize the end-to-end distortion in different applications from codec level to cross-layer level given the resource constraints in the practical system. The target audience of this book includes PhD and graduate students, researchers in the field, codec and system design engineers.
Ключевые слова: error-resilient rate distortion optimization, Mobile Communication, wireless video, transmission distortion prediction Model, cross-layer rate control, subpixel-level estimation algorithm, prediction mode decision, clipping noise