patch-antenna

文件包含matlab中常用的程序，各种算法以及应用实例的程序(File contains matlab in commonly used procedures, various algorithms and application examples of the program)

说明：  模拟退火算法案例代码，就物流VRP运输问题的一种思路，用于非线性求解，启发式算法。(Simulated annealing algorithm case code, on the logistics VRP transportation problem of a train of thought, for nonlinear solution, heuristic algorithm)

说明：  实现匹配滤波仿真的两个程序，每个程序生成四个图，可以通过比较验证信号的时延不影响匹配滤波的输出信噪比，及不同信号信噪比与信号波形无关，只与信号能量有关(Matched filter to achieve the two simulation procedures, each of the programs to generate the four plans, you can verify by comparing the signal delay does not affect the matched filter output signal to noise ratio, and different signal-noise ratio and signal wave has nothing to do only with the signal energy relevant)

用matlab程序来实现一首流行歌曲的演奏和播放(Matlab program to a pop music concert and play)

this code has been for modulating the signal in the matlab ,this is very precise and usefull

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

ISI信道下的信号检测和译码的联合迭代算法的实现，编码使用递归卷积码，译码算法为BCJR算法。(Iterative algorithm to achieve joint signal detection and decoding under ISI channel, encoded using recursive convolutional code and decoding algorithm is BCJR algorithm.)

Genetic algorithm _optimization matlab program

非稳态二维热传导有限差分法matlab的代码(The unsteady two-dimensional heat conduction finite difference method matlab code)

The package includes the MATLAB code of the multi-instance learning algorithm miFV, which is an efficient and scalable MIL algorithm. miFV maps the original MIL bags into a new feature vector representation, which can obtain bag-level information, and meanwhile lead to excellent performances even with linear classifiers. In consequence, thanks to the low computational cost in the mapping step and the scalability of linear classifiers, miFV can handle large scale MIL data efficiently and effectively. A Readme file and some data files are included in the package.