Guojun Gan York University Toronto, Ontario, Canada Chaoqun Ma Hunan University Changsha, Hunan, People’s Republic of China Jianhong Wu York University Toronto, Ontario, Canada

跟踪导航方面的权威巨著，绝对值得收藏！强烈推荐！ Estimation with Applications to Tracking and Navigation 【原书作者】： Yaakov Bar-Shalom, X.-Rong Li, Thiagalingam Kirubarajan 【ISBN 】： ISBN-10: 047141655X / ISBN-13: 978-0471416555 【页数 】：584 【出版社】 ：Wiley-Interscience，即John Wiley & Sons Inc. 【出版日期】：June 8, 2001 【文件格式】：PDF 【定价】: $116.95

BarShalom，李晓榕的跟踪导航方面的书籍。补全了12章，以及源码，方便下载！

Emerging non-volatile memory (NVM) technologies, such as PCRAM and STT-RAM, are getting mature in recent years. These emerging NVM technologies have demonstrated great potentials to be the candidates for future computer memory architecture design. It is important for SoC designers and computer architects to understand the benefits and limitations of such emerging memory technologies, to improve the performance/power/reliability of future memory architectures. This chapter gives a brief introduction of these memory technologies, reviews recent advances in memory architecture design, discusses the benefits of using at various levels of memory hierarchy, and also reviews the mitigation techniques to overcome the limitations of applying such emerging memory technologies for future memory architecture design.

数字信号处理——原理、算法与应用。国外电子与通信教材系列，方艳梅，刘永清 等译。Digital signal processing principles,algorithms,and applications 习题答案

雷达信号中的微多普勒效应的特征与应用，英文版，Victor C. Chen 的著作

Hands On Machine Learning with Python by John Anderson English | 6 Aug. 2018 | ISBN: 1724731963 | 224 Pages | EPUB | 2.22 MB

Scattering of Electromagnetic Waves - Theories and Applications

A brief introduction to the formulation of various types of stochastic epidemic models is presented based on the well-known deterministic SIS and SIR epidemic models. Three different types of stochastic model formulations are discussed: discrete time Markov chain, continuous time Markov chain and stochastic differential equations. Properties unique to the stochastic models are presented: probability of disease extinction, probability of disease outbreak, quasistationary probability distribution, final size distribution, and expected duration of an epidemic. The chapter ends with a discussion of two stochastic formulations that cannot be directly related to the SIS and SIR epidemic models. They are discrete time Markov chain formulations applied in the study of epidemics within households (chain binomial models) and in the prediction of the initial spread of an epidemic (branching processes).

Stochastic Processes, Theory for Applications Robert G. Gallager著的随机过程的习题解答