matlab-caculate-and-analysis

QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.(As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate.)

wireless sensor network manualy designed matlab code for research oriented process

MATLAB simulink模块下的PID计算代码及模型仿真(PID computing code and model simulation under MATLAB Simulink module)

make a pure tone with gaussian noise, this program show the minimun sampling frequency to not produce alliasing...

说明：  利用遗传算法解决50个城市tsp问题，适合初学者。(The use of genetic algorithm to solve the issue of 50 cities tsp, suitable for beginners.)

说明：  Ar气在CO2激光作用下的电离matlab程序代码。(co2 laser induced Ar ionzation matlab codes.)

基于matlab遗传算法工具箱的算法代码(Genetic algorithm)

k-means聚类算法的matlab代码 截图的 想用还是自己手打吧(k-means clustering algorithm matlab code screenshot or their own hands to fight it.)

Crops and non-crops image segmentation using K-MEANS clustering and then classification made by KNN classifier

说明：  扩展卡尔曼滤波算法是目前最常用的非线性滤波算法之一，其核心思想就是将非线性模型线性化后，然后采用标准的卡尔曼滤波算法进行迭代滤波，这是一种最基本的解决非线性滤波问题的方法，目前在目标跟踪领域得到了广泛的运用。(Extended Kalman filter is the most commonly used one of nonlinear filtering algorithm, the core idea is that the nonlinear model is linearized, and then apply the standard Kalman filtering algorithm to filter, which is one of the most solve the basic problem of nonlinear filtering methods, the current target tracking has been widely used.)