卡尔曼滤波与组合导航原理%28秦永元98-带目录+%29

说明：  EMC_EMI培训教程。一共8集，此为第1部份。(EMC EMI training course)

关于CFAR的一些文献，适合初学者学习，欢迎下载(About CFAR some of the literature, for beginners to learn, are welcome to download)

说明：  机器学习的实践书，图灵程序设计用书。有需要的可以学习一下(Practice book of machine learning)

TMS320C28X系列DSP的CPU与外设(上)（下）.(TMS320C28X series of DSP-CPU and peripheral (above).)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)

说明：  初学者学习Fortran的课件，蛮有用的(Fortran for beginners learning courseware, giving a pleasing use)

此书是由Tom M. Mitchell所写的机器学习的中文版。(The book is written by Tom M. Mitchell machine learning of the Chinese version.)

清华大学关于MapReduce的公开课的课件(courseware of MapReduce open class in Qsinghua University)

说明：  python 关于深度学习以及Imageai的一些资料(Python deep learning and other file about the Imageai)

胡广书的《现代信号处理教程》ppt文件，相当于电子版本了，因为很全面(Hu-book " Modern Signal Processing Guide" ppt files, the equivalent of an electronic version, because it is comprehensive)