LSA-spam

说明：  这是计算机网络习题答案，希望对大家有所帮助，我觉得很有用(This is a computer network problem sets, we want to help, I think very useful)

opengl入门练习题，有详细说明 实验1 实验环境的熟悉(2) 实验2 OpenGl中图形的绘制(4) 实验3 基本图元绘制(6)(Introductory exercises)

黑客技术教程，其实是一位黑客高手的随笔啊。(Hacking technology tutorials, is a master hacker of Suibi ah.)

说明：  介绍了一种用于心电监护的数字滤波算法，对滤波器的设计，包括滤波原理、整系数数字滤波器 的波型特征、实现方框图及10 点平均数字滤波器进行了分析，并给出心电信号的滤波效果图。实验结果表明， 该算法能有效滤除基线漂移和工频干扰，算法简单实用。(A new method for the introduction ECG digital filtering algorithm, the design of filters, including filtering principle, the whole coefficient of the wave digital filter characteristics, block diagram and realize an average 10-point digital filters are analyzed, and gives ECG filtering effect of Fig. Experimental results show that the algorithm can effectively filter out the baseline drift and power-line interference, the algorithm is simple and practical.)

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：  北航《系统辨识与自适应控制MATLAB仿真》(Beihang "system identification and adaptive control Mtalab simulation" example source code)

说明：  Over 80 object-oriented recipes to help you create mindblowing GUIs in Python

Graphical Layout Editor extends Graphical Editor With Palette.

10种软件滤波方法,10种软件滤波方法.(10 filter way)

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.)