Blind Source Separation, Yong Xiang; Dezhong Peng; Zuyuan Yang
Автор: Julien Bourgeois; Wolfgang Minker Название: Time-Domain Beamforming and Blind Source Separation ISBN: 1441943323 ISBN-13(EAN): 9781441943323 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. All experimental results have been obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver.
Автор: Lewin Edwards Название: Open-Source Robotics and Process Control Cookbook, ISBN: 0750677783 ISBN-13(EAN): 9780750677783 Издательство: Elsevier Science Рейтинг: Цена: 59500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Shows how to develop robust, dependable real-time systems for robotics and other control applications, using open-source tools. This book demonstrates efficient and low-cost embedded hardware and software design techniques, based on Linux as the development platform and operating system and the Atmel AVR as the primary microcontroller.
Автор: Yu Xianchuan Название: Blind Source Separation ISBN: 1118679849 ISBN-13(EAN): 9781118679845 Издательство: Wiley Рейтинг: Цена: 134060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method.
Название: Blind source separation ISBN: 3642550150 ISBN-13(EAN): 9783642550157 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms and applications of BSS.
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