144102067_assignment_1

关于TSP模拟退火&遗传算法&相应的MATLAB算法程序( tsp Genetic algorithm and simulated annealing and corresponding MATLAB algorithm procedures)

运用核回归方法去模糊的经典程序，效果很好，有参考文献(using kernel regression for image deblurring,it s very effective)

matlab编写的数值计算程序，用于数学实验方面(Matlab prepared by the numerical calculation program for math experiments)

奇异值差分理论，对输入的信号矩阵化，并对矩阵进行奇异值分解，完成对信号的分析和处理(Singular value differential theory, the matrix of the input signal, and the matrix singular value decomposition, the completion of signal analysis and processing)

快速可靠的GPS (全球定位系统)系统仿真可对双频GPS 接收机的设计、接收算法的研究 提供有效的帮助。文中详细介绍了在MatLab/Simulink 环境下GPS 系统仿真平台构建的基本方法。 首先分析了GPS 系统的各个环节，说明了各模型在仿真中的实现方法；然后给出了完整的系统仿 真框图，并在此平台上实现了GPS L2 载波相位跟踪的仿真。结果表明该仿真平台有效、可靠(Fast and reliable GPS (Global Positioning System) system simulation of dual-frequency GPS receiver design, receiver algorithm to provide effective help. Text in detail in the MatLab/Simulink environment GPS system simulation platform to build the basic method. First, we analyze the various segments of GPS systems shows that the model in the realization of simulation methods and then given a complete system simulation block diagram, and on this platform realize the GPS L2 carrier phase tracking of the simulation. The results show that the simulation platform for effective, reliable)

Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。 小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。(VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural networks Q function approximation. As the use of simulated annealing, the car will start when the regular crash barrier, 10 times the fundamental will no longer hit. The appearance model used car " w198406141" in this forum area of virtual reality VR model release.)

PLS方法的回归分析，PLSR 参考文献：Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，(PLSR:Partial Least Squares Regresion Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，)

一个简单的adaboost分类的方法。随机生成两组数据，训练分类器。之后再生成两组数据进行分类。效果很好(A simple way adaboost classification. Randomly generated two sets of data, to train a classifier. After re-generate two sets of data classification. Good results)

Model-based approach is widely adopted to develop embedded system to cope with the ever-increasing complexity of system design under relentless time-tomarket pressure.

his example illustrates the Ideal Switching device solution method of the Powergui block