HW1

mtalab中继节能仿真实现。。。。。。。。。。。。。。。(mtalab relay energy simulation. . . . . . . . . . . . . . .)

Dataset mikky glass for matlab

OF,实际上OF是MCM Multi-CarrierModulation，多载波调制的一种。其主要思想是：将信道分成若干正交子信道，将高速数据信号转换成并行的低速子数据流，调制到在每个子信道上进行传输。正交信号可以通过在接收端采用相关技术来分开，这样可以减少子信道之间的相互干扰 ICI 。每个子信道上的信号带宽小于信道的相关带宽，因此每个子信道上的可以看成平坦性衰落，从而可以消除符号间干扰。而且由于每个子信道的带宽仅仅是原信道带宽的一小部分，信道均衡变得相对容易。在向B3G/4G演进的过程中，OFDM是关键的技术之一，可以结合分集，时空编码，干扰和信道间干扰抑制以及智能天线技术，最大限度的提高了系统性能。(OF)

元胞自动机的TT模型，用于仿真交通流，适用于开口边界(TT cellular automata model for traffic flow simulation for opening borders)

Estimates the power spectral densities (PSDs) using both the ICOMP method and Mallows CL for deciding the diagonal loading.

说明：  基于遗传算法的OFDM自适应资源分配算法MATLAB源码 OFDM自适应资源分配问题（载波、功率等），是一个既含有离散决策变量，又含有连续决策变量的非线性优化模型，且含有较为复杂的非线性约束，因此适合采用智能优化算法进行求解。 (Adaptive genetic algorithm-based resource allocation algorithm for OFDM OFDM MATLAB source adaptive resource allocation problem (carrier, power, etc.), is a decision with both a discrete variable, but also with continuous decision variables of the nonlinear optimization model, and contains more complex non-linear constraints, so smart optimization algorithm for solving.)

This circuit uses the AC6 block of SimPowerSystems™ library. It models a permanent magnet (PM) synchronous motor drive with a braking chopper for a 3HP motor. The PM synchronous motor is fed by a PWM voltage source inverter, which is built using a Universal Bridge Block. The speed control loop uses a PI regulator to produce the flux and torque references for the vector control block. The vector control block computes the three reference motor line currents corresponding to the flux and torque references and then feeds the motor with these currents using a three-phase current regulator.

上述程序是美国RICE大学的一个学生编写的用于压缩感知的恢复算法，可以实现很多模型的稀疏恢复，包括BP，l1,l2,l1-l2混合型等比较多的类型(The above procedure is a student of the University of the United States RICE prepared for compressed sensing recovery algorithm can achieve a lot of model sparse recovery, including BP, l1, l2, l1-l2 hybrid more types)

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

LMS算法的MATLAB实现。很经典的算法。(LMS algorithm MATLAB implementation. Classic algorithms.)