Unified Messaging:EXCERPT from Microsoft Exchange Server 2013 Inside Out Paul Robichaux
KEY FEATURES ? Building data-driven applications that are easier to design, deploy, and maintain ? Uses real-world examples and techniques ? Full of figures and diagrams ? Hands-on code samples and walkthroughs AUDIENCE This book assumes that the reader has written some Java code. Some Scala or Python experience is helpful but not required.
Code Switching and Mixing Trends in Text Messaging:Exploring Gender Differences Rida Rabbani/ Hammad Mushtaq
This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.