Bøker av Lin Zhou

Grow Together: Kai and Açaíby Dr. Lin ZhouDive into the heartwarming world of Kai and his playful pup, Açaí, as they embark on a journey of discovery, identity, and companionship. Crafted with love by their very own mother, Dr. Lin Zhou, this beautifully illustrated book captures the essence of growing up with dual heritage in modern America.Kai, a spirited America-born Chinese boy, and Açaí, a delightful mix-breed dog, navigate their unique backgrounds with innocence and wonder. Through simple yet profound exchanges, they explore what it means to belong, to be different, and most importantly, to cherish the diverse threads that weave the fabric of who they are.From making dumplings and painting to flying balloons that look like kites, each page of this book pulsates with vibrant illustrations and touching dialogues that resonate with both young readers and the young at heart. Whether you're seeking a tale of identity and acceptance or simply a charming bedtime story, "Grow Together: Kai and Açaí" promises a journey that will tug at your heartstrings and linger in your memory.Celebrate the beauty of diversity, the power of family, and the boundless adventures of childhood. Join Kai and Açaí in this delightful dance of growing together!

In modern 5G networks and beyond, finite blocklength lossy source coding is essential to provide ultra-reliable and low-latency communications. The analysis of point-to-point and multiterminal settings from the perspective of finite blocklength lossy source coding is therefore of great interest to 5G system designers and is also related to other long-standing problems in information theory. In this monograph, the authors provide a comprehensive review of recent advances in second-order asymptotics for lossy source coding. The monograph is divided into three parts. In Part I, the reader is introduced to the topic with a description of the mathematical tools used and a basic example of lossless source coding. In Part II, the authors present five generations of the rate-distortion problem to tackle various aspects of practical quantization tasks: noisy source, noisy channel, mismatched code, Gauss-Markov source and fixed-to-variable length compression. In Part III, the authors present four multi-terminal generalizations of the rate-distortion problem to consider multiple encoders, decoders or source sequences: the Kaspi problem, the successive refinement problem, the Fu-Yeung problem and the Gray-Wyner problem. This self-contained, complete review of a topic at the heart of 5G technology is essential reading for all students, researchers and designers of modern day communication systems.