基于BP神经网络的数字调制信号样式识别

扫描空文件 -scanning empty document scanning empty file

一个二层网络实现建筑物变化检测，使用武大数据集(one two layers two realize change detection)

说明：  实现kirchoff偏移的matlab程序计算时间约为40s，请耐心等待.(The matlab program that implements the kirchoff offset has a computation time of about 40s. Please be patient.)

浙江大学ACM竞赛算法与数据结构内部培训资料，推荐-Zhejiang University ACM algorithm and data structure internal training materials, recommended

基于向量空间的自适应滤波算法用于回声抵消应用(Acoustic Echo Cancellation Using a Vector-Space-Based Adaptive Filtering Algorithm)

C++ defines to assembly EQUs

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：  可以实现读取气象micaps-diamond11类数据(It can read weather MICAPS diamond 11 data)

基于内容的图像检索，博士毕业学位论文，搞这方面的可以-content-based image retrieval, Dr. graduate thesis and engage in this area can s

利用原算法adaboost弱学习器基于决策树桩的方法对样本数据进行多分类(Multi-classification of sample data based on decision tree stump using AdaBoost weak learner)