一个好的现代信号处理中谱估计matlab程序

speed control of dc motoer

matlab经典课堂讲义 是初学者的好资料。(Classic class handouts for matlab ，its good Information for the beginner )

为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小(In order to obtain more accurate estimates of the location of a data fusion-based positioning solver algorithm is studied in the simulated annealing algorithm with the classical Taylor series expansion method and Chan' s algorithms performance comparison based on simulated annealing algorithm with the above-mentioned two kinds of classical solution calculate the location of the Combination, by constructing a multi-algorithm co-location model, and model design based on the location of the fusion algorithm, the traditional location solver algorithm is proposed to improve a position based on data fusion solver algorithm. Simulation results show that the positioning accuracy of better than fusion fusion algorithm and the computation of non-small)

贝叶斯分类器MATLAB经典程序 朴素贝叶斯分类matlab实现 贝叶斯分类算法(bayes matlab program)

A Study of Bias Correction Methods for Enhancing Median Edge Detector Prediction

Rastrigin function with firefly algorithm

Extended Golay Code(24,12) decoder

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现svm压缩图像，c语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn, realizing SVM compressed image, C language)

ekf滤波、pda关联滤波、卡尔曼滤波、最小二乘参数估计的仿真建模，以及matlab多项式的学习资料(ekf filtering, pda association filtering, Kalman filtering, least squares parameter estimation modeling and simulation, as well as learning materials matlab polynomial)

Circular Hough transform using OpenCV: C++ version of the popular (best accurate I think) Matlab function CircularHough_Grd.m of Tao-Peng. Note: the user should know how to use OpenCV first.