Practica2_Ejer1

实现双边带抑制载波调幅信号的时域波形和频域波形的仿真，采样点数默认为2^18。(achieve bilateral suppression of carrier signal amplitude of the time-domain and frequency-domain waveform simulation, The default sampling point to 2 ^ 18.)

matlab编程实现线性预测编码（LPC)(Matlab programming linear predictive coding (LPC))

数学建模常用算法的MATLAB程序,在全国数学建模比赛中能使用!(MATLAB OF MATHMATIC,SOME EXAMPLE YOU CAN USE)

用matlab实现Elman神经网络(Elman neural network using matlab)

qpsk调制例程。包括显示幅频特性曲线和星座图(qpsk modulation routine. Including the amplitude-frequency curve show and constellation)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)

国际象棋,基于matlab 有一定的智能, 具有悔棋等等功能,还有待完善(Chess has some intelligence on matlab has undo function, etc.)

WATER MARKING FOR STUDENT ELECTRONIC

实现对图片的小波消噪程序，可在matlab中实现仿真。(The realization of the wavelet image de-noising procedure, can be achieved in the matlab simulation.)

非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.(Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.)