Elephant & Piggie meets Narwhal and Jelly in this hilarious new early-reader graphic novel series about Archie & Reddie, two fox friends who have wild fun! In this fourth book, when Archie is woken by a scary noise in the night, he turns to Reddie to help him get to the bottom of it.Archie and Reddie are having a sleepover! That means they get to play super fun games all night long and wear their favorite pajamas! And even when a storm knocks out the power, they do...

Elephant & Piggie meets Narwhal and Jelly in this hilarious new early-reader graphic novel series about Archie & Reddie, two fox friends who have wild fun! In this first book, Archie finds a cheesy treat in the forest and tries to keep it a secret—until Reddie comes along, ready to solve an irresistible mystery!When Archie stumbles upon a gift-wrapped pizza in the forest, he wonders who would possibly leave a perfectly good treat just lying around? So he does the o...

Elephant & Piggie meets Narwhal and Jelly in this hilarious new early-reader graphic novel series about Archie & Reddie, two fox friends who have wild fun! In this second book, Reddie is all set to go to a party, but Archie can’t leave without his favorite hat—so they must search through his silliest belongings to find it!When Reddie comes over to Archie’s house excited to go to the big Hat Day party, she is surprised to learn that he can’t make it. He has lost his...

Elephant & Piggie meets Narwhal and Jelly in this hilarious new early-reader graphic novel series about Archie & Reddie, two fox friends who have wild fun! In this third book, the pair are excited about entering a talent show, but will they be able to come up with a winning act?There's a talent show happening in town today, and Archie and Reddie really want to win the grand prize: a shiny new wagon! It would be such a help with carrying their books home from the li...

Presents the Bayesian approach to statistical signal processing for a variety of useful model setsThis book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on “Sequential Bayesian Detection,” a new section on “Ensemble Kalman Filters” as well as an...

A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systemsModel-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID) and enables readers to evaluate o...

Separate signals from noise with this valuable introduction to signal processing by applied decompositionThe decomposition of complex signals into the sub-signals, or individual components, is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually, enables the signal to be isolated from noise, and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics ...

A romantic fairy tale Peter Pan is a favourite story of many generations of children all over the world. The main character is a boy who never growsup, can fly, lives in Neverland and fairies are his friends. He gives a flying ability to three children from London — Wendy, John and Michael Darling and takes them to a mysterious land where they have exciting and sometimes rather scary adventures.

First Published in 2015. This encyclopaedic collection includes Volumes 1 (A-L) and 2 (M-Z) as well as essays on the settlement of America. It can be argued that the westward expansion occurred only one week after the English landfall at Jamestown, Virginia, on May 14, 1607. Beginning on May 21, Captain John Smith, one of the colonization company’s leaders, and twenty-one companions made their way northwest up the James River for some 50 or 60 miles (80 or 96 km).

This book can help overcome the widely observed math-phobia and math-aversion among undergraduate students in these subjects. The book can also help them understand why they have to learn different mathematical techniques, how they can be applied, and how they will equip the students in their further studies.The book provides a thorough but lucid exposition of most of the mathematical techniques applied in the fields of economics, business and finance. The book deals with topics ri...

The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-f...

The latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distor...