C Programming Language, 2nd Edition 英文版 第2版 PDF 扫描版 Dennis Ritchie

THIS BOOK IS BASED on a course of the same name that has been taught annually at Stanford University since 1970. About fty students have taken it each year|juniors and seniors, but mostly graduate students|and alumni
of these classes have begun to spawn similar courses elsewhere. Thus the time
seems ripe to present the material to a wider audience (including sophomores).

流畅的python 第二版 预览版

Beginning Swift Games Development for iOS(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

Digital Audio Signal Processing Second Edition Udo Zölzer John Wiley & Sons

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You’ll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you’ve learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You’ll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis

该PDF为Numerical Optimazation 第二版英文原版，作者 J.Nocedal 和 S.J. Wright

Programming in HasKell 2nd Edition

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

雷达手册第二版 1990 M I Skolnik 完整版 M I Skolnik Radar Handbook 2nd Ed McGraw Hill 1990 .pdf