phaN_time

MATLAB下使用viterbi算法进行卷积码的仿真范例。可以用任意配置的卷积码。testConv.m启动仿真，其中用了两种卷积码(一个1/2和一个2/3卷积码）。若要使用硬判决，需修改metric.m文件。其他就没有什么要改的了。解压即可使用。(Under viterbi algorithm using MATLAB simulation examples of convolution codes. Can be used in any configuration of the convolutional code. testConv.m start the simulation, which used two convolution code (a 1/2 and a 2/3 convolutional code). To use a hard decision, modify metric.m file. Nothing else would want to change it. Extract can be used.)

svt is algorithm that calculate a matirx from the part of it s elemets . it is can be applied to image processing when part image was lost.是一个算法，知道部分矩阵元素，计算整个矩阵的方法。该方法主用是借助奇异值分解和Bregman算法，可很快完成计算。可以用于图像数据缺损的情况。

SIMOOFDM系统的基于子空间的盲信道估计算法(SIMOOFDM system subspace-based blind channel estimation algorithm)

成功实现3维FDTD的算法，算法简洁明了(Successful implementation of the three-dimensional FDTD algorithm is simple and clear)

风速的随机模型，根据风速的随机性，随着时间的变化而输出随机的风速(Wind speed of the random model, based on the randomness of the wind speed, as the change of time and output random wind speed )

一个emd（经验模态分解） 程序 matlab 编写 可用(1 emd program available)

Kalman filter examples, learning_demo

FDTD贴片天线s参数，计算电磁场的数值方法教材(FDTD patch antenna s parameters, calculation of electromagnetic field of teaching methods)

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.)

QPSK/BPSK在多径信道下经过LMS均衡器之后的误码率曲线(QPSK/BPSK BER curve after LMS equalizer in multipath channel)