《数据结构与算法C++版》(Data Structures and Algorithms in C++ Second Edition Adam Drozdek)第2版

Beyond BIOS第二版，出版于2010年11月。适用于UEFI bios初学者，也适用于从事相关开发工作的人员。希望对大家有帮助。

The Design of CMOS Radio-Frequency Integrated Circuits, Second Edition

INTRODUCTION TO EMBEDDED SYSTEMS A CYBER-PHYSICAL SYSTEMS APPROACH Second Edition

QOS‐ENABLED NETWORKS TOOLS AND FOUNDATIONS Second Edition一本很好的讲QOS的书，英文的哟

本书是移动通信领域的导论，主要讨论数字数据传输。适用于选修计算机网络或通信课程的电子工程或计算机专业的学生。本书从计算机科学的角度涵盖移动通信的各个方面，还指出了不同技术解决方案的共同属性，并阐明众所周知的从固定网络到支持终端移动性和无线接入网络的各种业务和应用的集成。. 本书主要内容有：移动和无线通信概述；通信系统信号的传播、复用和调制；通信介质接入方案；全球移动通信系统（GSM）、无绳电话技术、集群通信以及通用移动电信系统（UMTS）未来的发展；卫星系统；数字广播系统；被看做建筑物中线缆替代者的无线局域网，其中包括IEEE 802.11、高性能局域网和蓝牙技术；异步传输模式（ATM）向无线领域的扩展；移动Internet协议在无线领域的扩展，Ad hoc网和它们对路由选择协议的特殊要求也包括在内；将目前熟知的传输控制协议（TCP）应用于有特殊需求的无线领域的几种方法；新的无线应用协议（WAP）标准。

Dusty Phillips，Unleash the power of Python 3 objects.

熊猫1.x食谱-第二版 这是出版的《 的代码库。 它包含从头到尾完成本书所必需的所有支持项目文件。 关于这本书 畅销书《熊猫食谱》的新版本已更新为《熊猫1.x》，其中包括有关创建和测试以及探索性数据分析的新章节。 食谱是用现代的熊猫结构写的。 本书还介绍了EDA，整理数据，数据透视，时间序列计算，可视化等。 说明和导航 所有代码都组织在文件夹中。 每个文件夹均以数字开头，后跟应用程序名称。 例如，Chapter02。 该代码将如下所示： def tweak_kag(df): na_mask = df.Q9.isna() hide_mask = df.Q9.str.startswith('I do not').fillna(False) df = df[~na_mask & ~hide_mask] 相关产品

ISO26262(2018第二版本）ISO 26262.1-12的2018年第二版，本资源为英文原版标准。

Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drwan from growth analysis, meterology, biomechanics, equine science, economics, and medicine.The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time.Jim Ramsay is Professor of Psychology at McGill University and is an international authority on many aspects of multivariate analysis. He draws on his collaboration with researchers in speech articulation, motor control, meteorology, psychology, and human physiology to illustrate his technical contributions to functional data analysis in a wide range of statistical and application journals.Bernard Silverman, author of the highly regarded "Density Estimation for Statistics and Data Analysis," and coauthor of "Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach," is Professor of Statistics at Bristol University. His published work on smoothing methods and other aspects of applied, computational, and theoretical statistics has been recognized by the Presidents' Award of the Committee of Presidents of Statistical Societies, and the award of two Guy Medals by the Royal Statistical Society.