lishuhanshu6

有关matlab的使用教程，新手可以下下来看看(Relating to the use of matlab tutorials, and newcomers can look down under)

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

说明：  电压型逆变器供电永磁同步电动机传动系统的动态仿真(The voltage type inverter power supply of permanent magnet synchronous motor drive system dynamic simulation)

Matlab图形背景代码 包括导入数据、进度条、当前时间、主界面窗口设置等等。(Matlab codes of graphic background)

代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。(Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two methods were compared for the two properties, were observed and 100 times the average per-performance and simulated sync Effect of a growth factor RLS algorithm impact on LMS algorithm and different lamda value. Document contains the results of theoretical simulation and detailed description of the model and two methods of analysis. Code annexed.)

说明卷积编解码的工作原理，用Simulink仿真卷积编码，并用Viterbi译码的方法进行解码(Understand the convolutional codec works with Simulink simulation convolutional coding and Viterbi decoding method to decode)

在Simulink平台上对永磁同步电机(PMSM)实现直接转矩控制的仿真模型，使用无传感器控制方法，是国外的成品模型。(On the platform in Simulink for permanent magnet synchronous motor (PMSM) direct torque control of realize simulation model, the use of sensorless control method, is abroad finished product model.)

说明：  图像边缘检测，包括所有常用算法，matlab实现，很有研究价值(Edge detection, including all commonly used algorithm, matlab implementation, great research value)

对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。(right spectrum minimum mean square error speech enhancement algorithm (LSA- MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very good. For a wide range of stationary noise.)

说明：  2019年第16届华为杯数学建模F题第三问的代码(Code for the third question of mathematical modeling F of the 16th Huawei cup in 2019)