huiguifenximatlab

DSP上用MCMA算法设计自适应均衡器学通信的可以看看，在MATLAB中有所涉及。(DSP algorithm design on the use of MCMA learn communication adaptive equalizer can see, in MATLAB, has been involved.)

是matlab编写的一个支持向量机的程序，经测试有效。程序里附带了了demo，有注释。(Matlab are prepared by a support vector machine procedures, tested and effective. Program comes with a demo, there is the Notes.)

比较简单的查询来访人数，第一次传，欢迎大家学习(Relatively simple query the number of visitors, welcome them to learn from)

用来处理电磁波计算，在三维情况下仿真分析(fdtd 3d simulation)

pattern recognition part four toolbox for matlab

说明：  SVPWM是近年发展的一种比较新颖的控制方法，是由三相功率逆变器的六个功率开关元件组成的特定开关模式产生的脉宽调制波，能够使输出电流波形尽可能接近于理想的正弦波形。空间电压矢量PWM与传统的正弦PWM不同，它是从三相输出电压的整体效果出发，着眼于如何使电机获得理想圆形磁链轨迹。SVPWM技术与SPWM相比较，绕组电流波形的谐波成分小，使得电机转矩脉动降低，旋转磁场更逼近圆形，而且使直流母线电压的利用率有了很大提高，且更易于实现数字化。(SVPWM is a novel control method developed in recent years. It is a pulse width modulation wave generated by a specific switching mode consisting of six power switching elements of three-phase power inverters, which can make the output current waveform as close as possible to the ideal sinusoidal waveform. Space voltage vector PWM is different from traditional sinusoidal PWM. It is based on the overall effect of three-phase output voltage, focusing on how to obtain the ideal circular flux trajectory of the motor. Compared with SPWM, the harmonic component of winding current waveform is smaller, which reduces the torque ripple of motor, makes the rotating magnetic field more close to the circle, and improves the utilization ratio of DC bus voltage greatly, and makes it easier to realize digitization.)

说明：  精通matlab c语言编程，对于学习matlab的学习和c语言的学习都很有好处。可以帮助初学者掌握较好的编程技能(Proficient in matlab c language programming, learning for learning matlab and c language learning is very good. Can help beginners grasp the good programming skills)

卡尔曼滤波算法，用matlab语言编写的，可以直接使用(Kalman filtering algorithm, matlab language, can be used directly)

说明：  利用matlab编写的遗传算法实现控制系统的计算机程序的优化设计(using Matlab prepared by the Genetic Algorithm computer control system design optimization process)

说明：  最小均方自适应滤波器（LMS）是由Widrow和Hoff在1960年始创，它是以横向（即抽头延时线）结构为基础构建的。其最基本的形式设计简单，性能也高度高效。这两个特性使得LMS滤波器在各种应用中非常流行。递归最小二乘自适应滤波器（RLS）由于可提供快收敛速率而且对输入信号相关矩阵特征值扩散度变化不敏感，从而突破了LMS族的某些实际限制；其代价是增加了计算的复杂度。(the LMS algorithm of adaptive filter)