[挖掘社交网络].源代码

Godot AABB #include "AABB.hpp" #include "Plane.hpp" #include "Vector3.hpp" #include <algorithm>

18030点阵字库生成工具，20点阵，自动生成bin文件(18030 dot matrix character generation tool, 20 dot matrix, bin file automatically generated)

说明：  我们描述了所提出的方法对超声（US）信号的压缩多路复用的直接应用。该技术利用压缩多路复用器架构进行信号压缩，并依靠频域中US信号的联合稀疏性进行信号重建。由于换能器元件具有压电特性，因此可以获得有关US信号频率支持的准确先验知识，并且可以在联合稀疏算法中使用。 我们在数值实验中验证了所提出的方法，并显示了它们在秩次缺陷情况下相对于最新方法的优越性。我们还证明，与没有已知支持的重建相比，该技术可显着提高体内颈动脉图像的图像质量。(We describe a direct application of the proposed methods for compressive multiplexing of ultrasound (US) signals. The technique exploits the compressive multiplexer architecture for signal compression and relies on joint-sparsity of US signals in the frequency domain for signal reconstruction. Due to piezo-electric properties of transducer elements, accurate prior knowledge of the frequency support of US signals is available and can be used in joint-sparse algorithms. We validate the proposed methods on numerical experiments and show their superiority against state-of-the-art approaches in rank-defective cases. We also demonstrate that the techniques lead to a significant increase of the image quality on in vivo carotid images compared to reconstruction without known support.)

认知电子战的研究文章,,多机伴随干扰技术(Research Articles on Cognitive Electronic Warfare)

vs用c#语言编写的贪吃蛇小程序，可以拿来学习c#(vs c# language with Snake small program that can be used to learn c#)

我编的一个哈夫曼编码-Part I of a Huffman coding

说明：  字典学习与快速正交匹配追踪。正交匹配追求 （OMP） 在过去十年中已被证明是图像和信号处理领域的重要算法，用于估计字典学习中的稀疏表示。多年来，加快 OMP 算法的精度的努力一直通过通用 OMP （g-OMP） 和快速 OMP （f-OMP） 等变体进行。所有这些算法都递归地求解了"S"样本数中每个信号样本的OMP。该算法，快速 OMP （r-OMP），运行"N"原子的循环，同时估计所有样本，并在自N<<S以来的真实场景中，建议的方法将OMP的速度加快几个数量级。(Orthogonal Matching Pursuit (OMP) has proven itself to be a significant algorithm in image and signal processing domain in the last decade to estimate sparse representations in dictionary learning. Over the years, efforts to speed up the OMP algorithm for the same accuracy has been through variants like generalized OMP (g-OMP) and fast OMP (f-OMP). All of these algorithms solve OMP recursively for each signal sample among 'S' number of samples. This algorithm, rapid OMP (r-OMP), runs the loop for 'N' atoms, simultaneously estimating for all samples, and, in a real scene since N<<S, the proposed approach speeds up OMP by several orders of magnitude.)

问道etc修改，有需要的可以下载看看，谢谢(Ask etc to modify, if necessary, you can download it. Thank you.)

通过简单的实例，告诉你怎样编写dll，以及如何调用dll，菜鸟也会上手-Through simple examples, to tell you how to prepare dll, and how to call dll, rookie will start

s3c2440 写4.3寸LCD屏 ADS编译 (Write a 4.3-inch LCD screen s3c2440)