DAB数字广播.rar
包括三类标准 etsti:Radio Broadcasting Systems;Digital Audio Broadcasting (DAB) to mobile,portable and fixed receivers itu:用于30-3 000 MHz频率范围内车载的、便携式的和固定接收机的地面数字声音广播系统 gb:GYT 214 30MHz~3000MHz地面数字音频广播系统技术规范
包括三类标准 etsti:Radio Broadcasting Systems;Digital Audio Broadcasting (DAB) to mobile,portable and fixed receivers itu:用于30-3 000 MHz频率范围内车载的、便携式的和固定接收机的地面数字声音广播系统 gb:GYT 214 30MHz~3000MHz地面数字音频广播系统技术规范
三本书 Machine Learning Paradigms- Applications in Recommender Systems Machine Learning Projects for .NET Developers Machine Learning with Microsoft Technologies
Data modeling and database design have undergone significant evolution in recent years. Today, the relational data model and the relational database system dominate business applications. The relational model has allowed the database designer to focus on the logical and physical characteristics of a database separately. In this book, we concentrate on techniques for database design with a very strong bias for relational database systems, using the ER (entity relationship) approach for conceptual modeling (solely a logical implementation).
Growing up before the Internet invaded everything, my discovery of computers in my teen years was akin to discovering and exploring a new hidden alien world. That shiny TRS-80 in my high school library was a magical portal of unlimited possibilities. I’m happy to say that that magic still tickles my brain. As I grew in knowledge and skill, I delved deeper into technology’s sorcerous mysteries: programming, dial-up communities, the Internet, hacking culture. It was here that I found IT security: the most engaging, most challenging, most thought-provoking aspect of computing. Security feels like a never-ending undersea duel between remote-controlled fleets of submarines during uncertain weather conditions.
This introduction takes a visionary look at ideal cognitive radios (CRs) that integrate advanced software-defined radios (SDR) with CR techniques to arrive at radios that learn to help their user using computer vision, high-performance speech understanding, global positioning system (GPS) navigation, sophisticated adaptive networking, adaptive physical layer radio waveforms, and a wide range of machine learning processes.
Bayesian NLI gives three departures from standard assumptions. First, it can be seen as a defence of linguistic semantics as a production system that maps meanings into forms as was assumed in generative semantics, but also in systemic grammar, functional grammar and optimality theoretic syntax. This brings with it a more relaxed view of the relation between syntactic and semantic structures; the mapping from meanings to forms should be efficient (linear) and the prior strong enough to find the inversion from the cues in the utterance.
Near Field Communication with Arduino,Android, and PhoneGap
An Introspective Survey of Data Scientists and Their Work
Beyond 3G - Bringing Networks, Terminals and the Web Together