MATLAB

WAITINPUT Prompt for user input, but no longer than t seconds

基于chan算法的tdoa定位的gdop程序 (Chan algorithm based on TDOA positioning gdop procedures)

第9章 方程求根.zip。是从书中光盘里直接拷贝的代码，放在这里，与大家共享，共同交流，希望对大家有帮助。(Chapter 9 Equations in One Variable)

mvdr算法是最小方差无畸变响应波束形成器，它的原理来自是使非期望波达方向的任何干扰贡献的功率最小，但又能保持观测方向的信号功率不变。(mvdr algorithm is the minimum variance beamformer response distortion, its principle is that any interference from the direction of arrival of the undesired contributions to a minimum power, but the power of the signal while maintaining constant observation direction.)

上传一个多输入多输出的状态空间方程的预测控制程序，采样三输入双输出。仿真结果能得到期望的设定值.(Upload predictive control program a multi-input multi-output state space equations, three-input dual-output sampling. The simulation results can be obtained the desired setpoint.)

这是几个pdf格式的集合，主要介绍了simulink的基本操作，对初学者入门有一定帮助(Pdf format This is a collection of several, mainly introduced the basic operation of simulink to help beginners have some portal)

Ashrea模型 太阳瞬时辐射强度预测 任何地点 任何时间(Ashrea instantaneous solar radiation intensity prediction model anywhere at any time)

游程编码是一种简单的非破坏性资料压缩法，其好处是加压缩和解压缩都非常快。(RLE is a simple non-destructive data compression method, the added advantage of very fast compression and decompression. The method is to calculate the length of consecutive compression of the data.)

一种对Toa定位算法进行性能分析的算法源代码，图形展示了Toa的性能，希望采纳(Kind of Toa localization algorithm for performance analysis algorithm source code, graphics showing the performance of Toa, and hope to adopt)

数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)