ofdm

高斯脉冲在光纤中随传播距离变化matlab仿真(Gaussian pulse in a fiber to the propagation distance matlab simulation)

：以matlab工具箱的形式给出了静态及动态未知环境下移动机器人地图构建的仿真研究平 台。通过分析polaroid6500声纳、电子罗盘、编码器等传感器的工作原理建立了参数可调的传感器 模型。这些传感器为机器人提供位姿及环境信息。在分析已有基于hough变换的线段提取算法的基 础上提出了抑止。杂线段。现象的CIHT[Clus~r Inhibiting Hough Transform]算法．采用cIHT 对声蚋信息作环境特征提取，便于开展基于环境特征的未知环境地图构建算法方面的研究工作。(Abstract：A simulation system ofmapping for sonar-based mobile robot was developed易0 in static and dynamic unknown environments in a foFin ofmatlab toolbox．Sensor models with tunable parameters were established by interpreting and simulating the mechanism of encoder。digital compass．and polaroid 6500 sonar．These sensors provide the information of robot pose and environments．A novel C1HT[Cluster Inhibiting Hough Transfo删J algorithmfor sonar data was proposed by ana~zing existing line segments detection methods based on Hough Transform，which would make the research of feature—based mapping of unknown environment more convenient．)

adaptive CMA algorithm

粒子群寻优。 利用粒子群寻优的方法，对神经网络进行训练。该源程序对以前的程序进行了改进。(Particle swarm optimization. The use of particle swarm optimization method for neural network training. The source of the previous procedure has been improved.)

doa阵列处理程序 适合初学者使用，对天线阵列的学习很有帮助(Matlab noise FM interference for beginners to use )

Project Report on State space analysis of Inverted Pendulum,The Rotary Inverted Pendulum is a classic control problem that is explored often as a project in control courses due to its easily developed dynamics combined with its complexity of control design. Although, the problem can be solved using conventional control techniques like PD/PID controllers, we will use some other powerful techniques involving state space analysis. The system is composed of a pendulum attached to the end of a rotary arm controlled by a motor. The control input is in the form of voltage input to the motor. Here our objective is to keep the pendulum in upright position of unstable equilibrium.

matlab电子书籍，包括matlab教程以及其中所有的实例源程序。(matlab e-books, including the matlab tutorials and examples in which all the source code.)

低通滤波器，通过Chebyshev方式实现，仅供参考，谢谢。(Chebyshev IIR)

说明：  ＃在MatConvNet上实施DCGAN MatConvNet上的深度卷积生成对抗网络（DCGAN注意：任何MCN版本均兼容(# Implement DCGAN on MatConvNet Deep Convolution Generative Adversarial Network on MatConvNet (DCGAN Note: Any MCN version is compatible)

Images Compression Using Dual Tree Complex Wavelet Transform