Matlab---tuto_files

基于MATLAB软件下的QPSK 调制解调(MATLAB-based software under the QPSK modulation and demodulation)

this simulation is cascade with matlab

说明：  BP神经网络建立的定量分析模型，用于预测未知待测量(quantitative analysis)

此程序由matlab实现,用于对语音信号的功率谱密度进行估计.希望能有所帮助.(this procedure from Matlab realized, for the speech signal power spectral density estimation. hope to be helpful.)

直流电机的转速，电流双闭环控制simulink仿真，包括整流桥(DC motor speed and current closed-loop control simulink simulation, including the bridge rectifier)

介绍一种球度误差评价方法的文章，很不错，值得深入研究(This is a new strategy and means for sphericity form error evaluation.)

将遗传算法应用于一元函数的优化，程序运行通过！(a GA)

典型混沌信号的序列生成，以及相空间作图。可以根据自己的需要修改参数(henon signal sequence generation, as well as the phase space mapping. You can modify the parameters according to their needs)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

calculates BER of BPSK on OFDM