MATLABdianzijiaocheng

16-QAM modulator and demodulator

针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法(The path planning problem of autonomous underwater vehicle (AUV) is studied. According to the fuzzy control rules, a fuzzy path planning algorithm based on particle swarm optimization (PSO) is proposed)

用matlab分析处理了一段语音信号，实现了语音合成(Using matlab speech signal analysis and processing for a while to achieve a speech synthesis)

此程序是对不同传感器得到的图像进行融合，以便得到更好的图像(This program is an image of different sensors are fused to obtain better image)

señ al senoidal GUI APLICANDO AMPLITUD

用matlab仿真轴承故障信号构造轴承故障的仿真信号，其中轴承的固有频率fn=3000Hz , 位移常数y0=5, 阻尼系数ξ＝0.1, 冲击故障发生的周期为0.01s，采样频率fs=20KHz, 采样点数N=4096。要求：根据上述条件构造轴承故障的仿真信号，画出其时域波形及频谱图。(Matlab simulation bearing fault signal)

说明：  在研究自主运动规划问题之前，首先需建立相对较为完整的自主运动规划体系，再由该体系作为指导，对自主运动规划的各项具体问题进行深入研究。本节将根据自主机器人的思维方式、运动形式、任务行为等特点，建立与之相适应的自主运动规划体系。并按照机器人的数量与规模，将自主运动规划分为单个机器人的运动规划与多机器人协同运动规划两类规划体系。(Before studying the problem of autonomous motion planning, it is necessary to establish a relatively complete system of autonomous motion planning, and then conduct in-depth study on the specific issues of autonomous motion planning under the guidance of this system. In this section, an adaptive autonomous motion planning system will be established according to the characteristics of autonomous robot's thinking mode, motion form and task behavior. According to the number and scale of robots, the autonomous motion planning system is divided into two types: single robot motion planning and multi robot collaborative motion planning.)

用积分最小值准则来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的[K T τ]，已知参数k=vars（1）；T=vars（2）；ι=vars（3）,iC=vars(4) (Minimum criteria of integral seeking P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coefficient, Ti for the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model of [KT τ], known parameters k = vars (1) T = vars (2) ι = vars (3), iC = vars (4) )

本源代码给出了一个完整的蜂窝移动通信系统的仿真程序实例,开发环境是matlab,希望可以从事此方面工作的人员提供一个借鉴.(Source code is given a complete cellular mobile communication system simulation program examples, the development environment is matlab, hope that we can engage in this work provide a reference.)

Abstract: By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these gateways are easily moved from full-blown host PCs to embedded platforms like the PC104. In this class you will learn about hardware platforms that support embedded Linux, Linux kernel configuration, feature selection, installation, booting and tuning.