antenna

The MatClass IV Toolbox for MatLab has been developed to support experiments on feature based classification problems. (The MatClass IV Toolbox for MatLab has been developed to support experimentson feature based classification problems.)

说明：  good code in matlab pro

一个FFT的matlab例子，详细讲述了FFT的输出结果与点数，还有采样频率FS之间的关系，对于新手来说，理解这些很有用(A FFT example based on MATLAB. The relationship between output of FFT and the nummber of point of FFT and Fs is detailed in it.)

实现对最小均方算法LMS的仿真，及其收敛性能的实现(Achieve the minimum mean square LMS algorithm simulation and performance to achieve convergence)

说明：  一个A*算法的应用案例，在存在多种障碍物的环境下，实现智能体的航路规划(An application case of a * algorithm is used to realize the route planning of the agent in the presence of multiple obstacles)

说明：  本论文主要对自适应滤波这一重要的课题展开研究和讨论，在算法原理、算法性能分析和通过计算机仿真来说明其各自算法的优越性，在每一个算法中的通过收敛性、学习曲线和失调分析这三个方面来论述。(This thesis focuses on the subject of adaptive filtering to start this important study and discussion, the principle of the algorithm, algorithm performance analysis and computer simulation to illustrate the superiority of their respective algorithms, each algorithm through the convergence of the learning curve and disorders of these three aspects discussed.)

FFTpowerspectrumandtheestimated 利用 matlab编写的频谱估计源代码(FFTpowerspectrumandtheestimated using MAtlab)

matlab遗传算法，在数学中国中下载得(matlab genetic algorithm, in mathematics may be downloaded China)

说明：  本程序一维数据的EM算法实现，稍作修改就可以成为多维数据的EM算法实现。(EM algorithm for one-dimensional data of the program implementation, minor modifications can become the cube of the EM algorithm.)

说明：  高通滤波器，带通滤波器，数字FIR滤波器(The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet. )