kalman-filter

波束成形在多天线MIMO环境下的，接收端合并与检测技术(Under the multi-antenna beamforming MIMO environment, merged with the receiver detection technology)

MATLAB的遗传算法工具(MATLAB genetic algorithm tool)

MATLAB实现的LDA算法以及运行结果截图,(MATLAB implementation of the results of LDA algorithm and run shots,)

矩阵重建的算法与实现 Exact_Matrix_Completion_via_Convex_Optimization 矩阵重建简介(Matrix Completion)

依据两个点的经纬度计算这两点在地球上距离的函数文件，误差很小(Calculated based on latitude and longitude of two points on Earth from these two points in the function file, the error is small)

函数实现对InSAR复相位信号的基于局部频率估计的“斜坡自适应滤波” 此滤波方法特别适用于InSAR相位图滤波，能在滤除噪声的同时最大限度地保留有用信息(This matlab function is for InSAR phase filtering,usually called "slope adapt filter".It is based on local frequency estimation.)

Exact Recovery of Sparsely-Used Dictionaries

用matlab通过libiio实现对AD9361的控制，主要利用matlab的系统对象功能实现(AD9361 is controlled by MATLAB through libiio. The system object function of MATLAB is used to realize the control.)

这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。如书名所示,本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。(err)

为了最大限度地减少能源采集充电通信系统传输完成时间，各 传输调度方案已被提出。然而，他们并没有考虑这个问题，其中一个发射器可能会失败 之前完成传输。为广播与能量收集解决这个问题，传输调度 切换发射器进行了研究。在广播通信系统中包括两个发射器和两个用户。该 发射器获取能量和独立工作交替进行。传输调度问题转化为 最小化传输的完成时间，在能量的因果关系的约束，数据传输的限制，而 发射器的开关约束。发射器的开关被证明发射机不应该停止传输解决 之前切换到其他发射器和切换阈值应当是零。然后，一个最佳的发送策略是 基于对速度区域和发射器的开关机制，早期的作品提出。建议的最佳传输 政策可以达到更大的速度比区域若干种次优的传输策略。( To minimise transmission completion time in energy-harvesting rechargeable communication systems, various transmission scheduling schemes have been proposed. However, they did not consider the issue where a transmitter may fail before completing the transmission. To resolve this issue, transmission scheduling for broadcasting with energy-harvesting switching transmitters is studied. The broadcasting communication system consists of two transmitters and two users. The transmitters harvest energy independently and work alternately. The transmission scheduling problem is formulated as minimising the transmission completion time, under the energy causality constraint, the data transmission constraint, and the transmitter switching constraint. Transmitter switching is addressed by proving that a transmitter should not stop transmission before switching to the other transmitter and the switching threshold should be zero. Then, an optimal transmission policy is proposed based on earl)