CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by ad

运行一个Matlab程序，完成一个M＝4的PAM通信系统的仿真。仿真对10000个符号（2万个比特）进行。测量在噪声方差为0,0.1,1.0和2.0时的符号差错概率。通过低通滤波器。画出理论误码率和由Monte Carlo仿真测得的误码率，并比较这些结果。(平均符号能量为1)-Running a Matlab program, complete a M = 4 PAM communication system simulation. The simulation of 10000 symbols

通过MATLAB仿真实现对M-PAM调制解调过程中M值不同的系统抗噪性能进行比较，绘制出抗噪性能曲线图-MATLAB simulation to compare the performance of anti-noise system with different values ​ ​ of M M-PAM modulation and demodulation process, draw the graph of the anti-noise performance.