水声信道仿真程序

heritrix3,maven,dsiutil

一个基于VB6.0编写的锻炼记忆力的小游戏源码，靠记忆去揭示未知方块内的数字是多少，全部正确就通关了。经常玩可以提高记忆力，作者说的。

彩色电视原理 电视机原理的全套教学PPT，讲解细致深入。-Principles of Color TV

肌电信号数据，手掌做不同动作时的肌电信号，分别为伸手握拳等信号的肌电信号(EMG DATA)

说明：  基于时间差的无线定位算法的一种，taylor算法的编译与实现(The compilation and implementation of taylor algorithm)

说明：  数据包络法DEA指数测算主要用于全要素生产率的计算没有分解指数(DEA index measurement of data envelopment method is mainly used to calculate total factor productivity, without decomposition index)

与大家一起分享源码TelecommunicationsRANRN12017的功能，源码还是不错的(And share the source code TelecommunicationsRANRN12017 function, source code is ok)

此系统用EXEL开发，摘要如下，对于血液供需模型，我们对某地区进行了系统模拟，为了使医疗中心花费最少，我们首先对三种情况进行分析，就是不举办活动，每30，60天举办活动，得出结果，每30天举办一次活动，费用最少。最后，我们对模型评价与推广，还有个人的心得体会。-system used EXEL development, summarized below, the blood supply model, we have certain areas of the system simulation, in order to spend at least a medical center, we first of the three, is not organizing activities, held every 415.70 days, the outcome of each 30 days of an event, at least cost. Finally, we model for evaluation and promotion, there are personal experiences.

本程序是无刷直流电机仿真模型，可以实现各种调制方式的切换，能够进行转矩脉动、调制方式等的研究。(This program is a simulation model of brushless DC motor. It can realize the switching of various modulation modes, and can study the torque ripple and modulation modes.)

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.)