MATLAB-programmer

这是一个一阶倒立摆系统，用MATLAB语言对其仿真，精度高。(This is a first-order inverted pendulum system, its simulation using MATLAB language and high accuracy.)

随机子空间的matlab主程序代码，可以实现高精度的信号辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。(Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and dielectric loss angle measurement methods" , regular army doctoral thesis " stochastic subspace identification of modal parameters of the bridge in the applied research" to write.)

说明：  一维的基于时域有限查分方法的MATLAB程序，初学者学习FDTD用(One-dimensional time-domain finite-based methods of investigation points MATLAB program for beginners to learn to use FDTD)

对EBPSK(Extended binary phase shift keying)调制雷达系统的特点，本文将其与传统的LFM(Linear frequency modulation)雷达系统进行综合性能比较。(he overall performances of EBPSK(Extended binary phase shift keying) modulation and LFM(Linear frequency modulation) radar systems are compared. First, the target detection performance base on CFAR(Constant False Alarm Rate) of two systems are analyzed under several conditions. As the time-delay is relatively large, the detection performance of EBPSK modulation radar system is better than LFM radar system. EBPSK modulation signals can combat the effect of Doppler spread on system performance in HF(High Frequency) channel.)

Root-locus method teaching from scratch in matlab.

拓扑大师sigmund编写的matlab经典拓扑程序(Master sigmund topology topology program written in matlab classic)

模糊PID控制器matlab simulink仿真,自适应模糊PID控制的仿真文件和模糊规制编写(Fuzzy PID controller matlab simulink simulation, simulation of adaptive fuzzy PID control and fuzzy regulatory documents prepared)

经典用遗传算法解决TSP问题，主函数用于解决我国31个省份的旅行商问题。(Classic genetic algorithm to solve TSP, the main function is used to solve the traveling salesman problem of China' s 31 provinces.)

a frequency modulation code for matlab

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.