Huffmann

利用matlab语言编写了可设置函数曲线图视角的用户界面的源程序。 (Use of matlab language that can be set up function curves from the Perspective of the user interface of the source.)

局部二值模型用于描述图像的局部纹理信息，对光照等具有鲁棒性(Local binary model used to describe the image of the local texture information, such as robust to illumination)

用MATLAB实现的网络设计与测试程序，为神经网络理论的应用(MATLAB network design and testing procedures for the neural network theories in the)

用于数据的简单平滑提供了手机的加速度数据。(Providing the phone for data smoothing acceleration data.)

ldpc的解码程序,matlab实现，已实现，译码速度快(ldpc decoding process, matlab implementation, has achieved fast decoding)

control 3 phase motor

小波变换和二维最大类间方差法实现变化检测(Wavelet transform and two-dimensional maximum between class variance method to achieve change detection)

使用理想低通滤波器设计针对50Hz工作频率干扰的陷波器(Ideal filters using the low road at 50hz work of the frequency interference )

基于传输矩阵法的线性啁啾光纤光栅反射谱的仿真研究( linearly chirped fiber grating reflection spectrum of the simulation based on Transfer matrix method )

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.)