Reliability engineering theory and practice 可靠性理论工程 This book shows how to build in and assess reliability, availability, maintainability, and safety (RAMS) of components, equipment & systems.

hadoop in practice ，资源很不错，但是英文版，需要英文功底

CISSP考试参考辅助test题目了解，可以借鉴适用~~~~~~~~~~~~~~~~

Beam-space Multiplexing: Practice, Theory, and Trends–From 4G TD-LTE, 5G, to 6G and Beyond

该资源中一共有四册。 Operating Sytems: Principles and Practice is a textbook for a first course in undergraduate operating systems. In use at dozens of top tier universities, and written by two leading operating systems researchers with decades of experience successfully teaching complex topics to thousands of students, this textbook provides:

IEEE Std 929-2000光伏发电系统并网技术要求

REST in Practice(中文).pdf

Title: Speech Enhancement: Theory and Practice, 2nd Edition Author: Philipos C. Loizou Length: 711 pages Edition: 2 Language: English Publisher: CRC Press Publication Date: 2013-02-25 ISBN-10: 1466504218 ISBN-13: 9781466504219 With the proliferation of mobile devices and hearing devices, including hearing aids and cochlear implants, there is a growing and pressing need to design algorithms that can improve speech intelligibility without sacrificing quality. Responding to this need, Speech Enhancement: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve these problems. Updated and expanded, this second edition of the bestselling textbook broadens its scope to include evaluation measures and enhancement algorithms aimed at improving speech intelligibility. Fundamentals, Algorithms, Evaluation, and Future Steps Organized into four parts, the book begins with a review of the fundamentals needed to understand and design better speech enhancement algorithms. The second part describes all the major enhancement algorithms and, because these require an estimate of the noise spectrum, also covers noise estimation algorithms. The third part of the book looks at the measures used to assess the performance, in terms of speech quality and intelligibility, of speech enhancement methods. It also evaluates and compares several of the algorithms. The fourth part presents binary mask algorithms for improving speech intelligibility under ideal conditions. In addition, it suggests steps that can be taken to realize the full potential of these algorithms under realistic conditions. What’s New in This Edition Updates in every chapter A new chapter on objective speech intelligibility measures A new chapter on algorithms for improving speech intelligibility Real-world noise recordings (on accompanying CD) MATLAB® code for the implementation of intelligibility measures (on accompanying CD) MATLAB and C/C++ code for the implementation of algorithms to improve speech intelligibility (on accompanying CD) Valuable Insights from a Pioneer in Speech Enhancement Clear and concise, this book explores how human listeners compensate for acoustic noise in noisy environments. Written by a pioneer in speech enhancement and noise reduction in cochlear implants, it is an essential resource for anyone who wants to implement or incorporate the latest speech enhancement algorithms to improve the quality and intelligibility of speech degraded by noise. Includes a CD with Code and Recordings The accompanying CD provides MATLAB implementations of representative speech enhancement algorithms as well as speech and noise databases for the evaluation of enhancement algorithms. Table of Contents Chapter 1 Introduction Chapter 2 Discrete-Time Signal Processing and Short-Time Fourier Analysis Chapter 3 Speech Production and Perception Chapter 4 Noise Compensation by Human Listeners Chapter 5 Spectral-Subtractive Algorithms Chapter 6 Wiener Filtering Chapter 7 Statistical-Model-Based Methods Chapter 8 Subspace Algorithms Chapter 9 Noise-Estimation Algorithms Chapter 10 Evaluating Performance of Speech Enhancement Algorithms Chapter 11 Objective Quality and Intelligibility Measures Chapter 12 Comparison of Speech Enhancement Algorithms Chapter 13 Algorithms That Can Improve Speech Intelligibility Appendix A: Special Functions and Integrals Appendix B: Derivation of the MMSE Estimator Appendix C: MATLAB ® Code and Speech/Noise Databases

dddddd SHADER PRACTICE 7.13

Distributed consensus is fundamental to building fault-tolerant systems. It allows a collection of machines to work as a coherent group that can survive the failures of some of its members. Unfortunately, the most common consensus algorithm, Paxos, is widely regarded as difficult to understand and implement correctly. This dissertation presents a new consensus algorithm called Raft, which was designed for understandability.