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卡尔曼滤波matlab源代码,提供了详细的代码(the .m file provides the detail process of kalman filter,also includes the explanation)

SPATIALLY ADAPTIVE NON-GAUSSIAN IMAGING VIA FITTED LOCAL LIKELIHOOD TECHNIQUE.

1、基于Ip/Iq方法控制PWM整流器，实现有功无功解耦控制，实现直流电容的稳压控制。 2、分别采用滞环电流和电压空间矢量技术进行PWM调制 3、DSTATCOM无功补偿仿真验证 4、系统采用了在带有前馈解耦控制的基础上产生的电压电流双闭环控制结构，其中电压外环保证了稳定的直流输出，电流内环提高了电流的动态响应速度，并且这种控制方法使电流的相位和输入电压的相位保持一致。(1, based on Ip/Iq way to control the PWM rectifier to achieve the active and reactive decoupling control of DC capacitor voltage control. 2, respectively, using hysteresis current and voltage space vector PWM modulation technique 3, DSTATCOM reactive power compensation simulation 4, the system used in the decoupling control with feed-forward on the basis of the voltage and current double closed-loop control structure, in which voltage outer ring to ensure a stable DC output, current inner improve current dynamic response, and this control method makes the current phase and the phase of the input voltage is consistent.)

matlab labs that will be very good for the beginners at least. Also, we can use this to promote our skills with matlab use.

character recognition by a neural network, implementation done on matlab

对109号心电图进行R波的识别与标注，文件中包含109号心电数据，无需另外下载(No. 109 for identification and labeling electrocardiogram R wave file contains 109 ECG data, no additional downloads)

说明：  2005年电力部数学建模大赛题目： 共有61个比赛项目，1050人参加比赛。请给出算法及其框图，同时给出合理的比赛项目排序表，使连续参加两项比赛的运动员人次尽可能的少；表中“＃”号位置表示运动员参加此项比赛。建立此问题的数学模型，并且合理安排比赛项目顺序，使连续参加两项比赛的运动员人次尽可能的少；程序使用了最小生成树算法。(2005 Mathematical Modeling Contest subject : a total of 61 events, 1,050 people participate in the competition. Please give algorithm and its frame, the event is a reasonable ranking table to enable participation in two consecutive games of 000 athletes as less; Table "#" locations athletes this game. This established the mathematical model, and reasonable arrangements event sequence, and allows the two consecutive games of 000 athletes as less; Procedures for the use of the minimum spanning tree algorithm.)

Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.

用Matlab语言实现通信系统的采样与量化功能(Communication systems using Matlab language sampling and quantization function)

color transformation by matlab