自动多阈值分割

交全面的给出了好几种调制解调方案的matlab代码,又ASK,BPSK,FSK,QAM等的源代码 对通信领域的研究人员很有帮助(submit a comprehensive given several modulation and demodulation program Matlab code, ASK, BPSK, FSK, QAM the source code for communications research in the field of staff helpful)

PCM通信系统脉冲编码调制的信源编码，可以运行。模拟PCM的编码的波形！(PCM communication system pulse code modulation source coding, can run. Simulation of the PCM waveform coding!)

轨道设计，确定着陆准备轨道近月点和远月点的位置，以及嫦娥三号相应速度的大小与方向。(Track design, determine the location of the landing point in recent months to prepare the track and Apolune, as well as the size and direction of the Chang-e III corresponding velocity.)

产生不同增益因子下的锐利信道十条误码率曲线，信噪比范围0~30DB(Under different gain factor of sharp curve, the article channel ber SNR range 0 ~ 30DB)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

fisher线性分类代码。老师要我们自己做的，还不错哦(fisher linear classification code. Teacher wants us to make their own, and have a good oh)

说明：  是ofdm关于matlab仿真方面的文章，里面写的特别的好，已经运行处结果。对仿真很有帮助(Ofdm matlab simulation area is on the article, written by particularly good which has been running at the results. Useful for simulation)

mathwork公司培训时老师送的用simulink开发的混合动力汽车模型，很好很强大。(mathwork corporate training with the teacher sent simulink developed hybrid car model, very very powerful.)

一个不错的风力机模型，能够很好的反应风力发电机的输出特性曲线，不是matlab内部自带的demo文件(A good wind turbine model, wind turbines can be a very good response to the output characteristic curve, is not within the built-in demo file matlab)

The matlab code is designed to solve linear systems of equations using the Jacobi Method.