In this raw, emotional memoir, Nate Bennett uses a blog to work through his grief over the sudden loss of his wife Shannon. He is surprised and comforted to discover a vast virtual community of support. His blog posts--alternately poignant and of dry wit--eventually attracted tens of thousands of hits and a following from readers who hadn't even known the couple or their sons. This unique book gives the reader a window into the starkness of a widower's grieving experience in real time. What comes through in virtually every post is his love for Shannon as he weaves in vignettes from their life together, chronicling their love story and his efforts to recover. And in the end, with the support of his virtual community and the strength he was able to draw from remembering Shannon's wishes for him, he finds love again.

Shannon Simpson has a kind soul, sometimes questionable judgment, and courage to spare. And she has no idea she can communicate with animals when she sets off on a 100-mile trek through the forest seeking her long-lost grandmother. Finding Gran means winding her way safely through the woods with only a compass, her wits and a mysterious, possibly magical, marra mamba stone to guide her. During her journey, Shannon faces bad weather, injuries, hunger, thirst, and wild animals—some nice and some not so nice. And along the way, she uncovers secrets about her family and herself.

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis. The author not only traces the history and development of the theory, but also presents original research and results that have never before appeared in book form. Recent techniques covered include the Feichtinger-Gröchenig sampling theory; frames, wavelets, multiresolution analysis and sampling; boundary-value problems and sampling theorems; and special functions and sampling theorems. The book will interest graduate students and professionals in electrical engineering, communications, and applied mathematics.

Wounded during a shootout, Officer Stacey O'Hara is about to pass through deaths door when a spirit from the other side pushes her back into the realm of the living. The spirit, Ellie Reardon, needs Stacey's help to find her murderer. Stacey is unaware that she looks like Ellie.

Shannon's Search for the Lost Ark of Solomon's Temple unlocks supernatural Biblical events and amazing prophetic revelations. Shannon rides her horse, Silver, many light years into the upper heavens where God reveals secrets to her including His future plans. She is transformed from her natural realm to a spiritual body and a day full of God's anointing upon her. Your children will learn the true meaning of the Holy Temple and the Temple Man's secrets in a step by step story as they understand God's purpose for His people and the State of Israel. Children of all ages will enjoy the delightful art work as they read through this message. They will explore a deeper understanding of God's will for their lives and their eternal purpose as they read Shannon's adventure books and visit the supernatural events. Children can search on each page for a hidden dove of peace. Come ride with Shannon as she learns and discovers God's true purpose and brings meaning to her life.

Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey.