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Drawing on an impressive roster of experts in the field, Fundamentals of Computer Graphics, Fourth Edition offers an ideal resource for computer course curricula as well as a user-friendly personal or professional reference. Focusing on geometric intuition, the book gives the necessary information for understanding how images get onto the screen by using the complementary approaches of ray tracing and rasterization. It covers topics common to an introductory course, such as sampling theory, texture mapping, spatial data structure, and splines. It also includes a number of contributed chapters from authors known for their expertise and clear way of explaining concepts. Highlights of the Fourth Edition Include: Updated coverage of existing topics Major updates and improvements to several chapters, including texture mapping, graphics hardware, signal processing, and data structures A text now printed entirely in four-color to enhance illustrative figures of concepts The fourth edition of Fundamentals of Computer Graphics continues to provide an outstanding and comprehensive introduction to basic computer graphic technology and theory. It retains an informal and intuitive style while improving precision, consistency, and completeness of material, allowing aspiring and experienced graphics programmers to better understand and apply foundational principles to the development of efficient code in creating film, game, or web designs.

This book aims to develop professional and practical microcontroller applications in the ARM-MDK environment with Texas Instruments MSP432P401R LaunchPad kits. It introduces ARM Cortex-M4 MCU by highlighting the most important elements, including: registers, pipelines, memory, and I/O ports. With the updated MSP432P401R Evaluation Board (EVB), MSP-EXP432P401R, this MCU provides various control functions with multiple peripherals to enable users to develop and build various modern control projects with rich control strategies. Micro-controller programming is approached with basic and straightforward programming codes to reduce learning curves, and furthermore to enable students to build embedded applications in more efficient and interesting ways. For authentic examples, 37 Class programming projects are built into the book that use MSP432P401R MCU. Additionally, approximately 40 Lab programming projects with MSP432P401R MCU are included to be assigned as homework. Table of Contents Chapter 1 Introduction to microcontrollers and this book Chapter 2 MSP432 microcontroller architectures Chapter 3 MSP432 microcontroller development kits Chapter 4 ARM® microcontroller software and instruction set Chapter 5 MSP432 microcontroller interrupts and exceptions Chapter 6 ARM® and MSP432™ MCU memory system Chapter 7 MSP432™ parallel I/O ports programming Chapter 8 MSP432™ serial I/O ports programming Chapter 9 MSP432™ 16-bit timers and PWM modules Chapter 10 MSP432 32-bit timers and watchdog timer Chapter 11 MSP432™ floating-point unit (FPU) Chapter 12 MSP432™ memory protection unit (MPU) Appendix A: Download and install Keil MDK-ARM 5.15 IDE and MSP432 DFP Appendix B: Download and install MSPWare software package Appendix C: MSP432P401R-based EVB hardware setup Appendix D: The CMSIS core-specific intrinsic functions

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Data science is an interdisciplinary field encompassing scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. It draws principles from mathematics, statistics, information science, computer science, machine learning, visualization, data mining, and predictive analytics. However, it is fundamentally grounded in mathematics. This book explains and applies the fundamentals of data science crucial for technical professionals such as DBAs and developers who are making career moves toward practicing data science. It is an example- driven book providing complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms, because it introduces the reader to foundational principles of the science of data.

此资源为18M的PDF MedVis曾发布过10M压缩版，内容一样，图像稍微有模糊： http://download.csdn.net/source/1830518 请自取所需 《医学图像基础》Fundamentals of Medical Imaging 2E Cambridge University Press | 2009-08-31 | ISBN: 0521519152 | 264页 | PDF | 18.37 MB Fundamentals of Medical Imaging, 2nd Edition is an invaluable technical introduction to each imaging modality, explaining the mathematical and physical principles and giving a clear understanding of how images are obtained and interpreted. Individual chapters cover each imaging modality - radiography, CT, MRI, nuclear medicine and ultrasound - reviewing the physics of the signal and its interaction with tissue, the image formation or reconstruction process, a discussion of image quality and equipment, clinical applications and biological effects and safety issues. Subsequent chapters review image analysis and visualization for diagnosis, treatment and surgery. New to this edition: • Appendix of questions and answers • New chapter on 3D image visualization • Advanced mathematical formulae in separate text boxes • Ancillary website containing 3D animations: www.cambridge.org/suetens • Full colour illustrations throughout Engineers, clinicians, mathematicians and physicists will find this an invaluable aid in understanding the physical principles of imaging and their clinical applications. More：http://www.boxuesky.com/thread-63939-1-1.html

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