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通信原理实验中的均匀和非均匀的pcm两种编码方式,附有详细的说明.(communication principle experiment uniform and non-uniform both PCM encoding, with detailed explanations.)

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.)

结合Turbo和OFDM， 实现JEPG编解码，提出一种新的算法，相信能帮助到你(Turbo and the combination of OFDM, realize JEPG codec, a new algorithm, I believe can help you)

这是一个MATLAB的IIR滤波器的程序!(This is a program of IIR fliter!)

说明：  该程序是使用matlab编写的支持向量机程序，它可用于分类/预测等方面。(it is very useful!)

将给定电流和网络画图,可对幅度和分量进行设置(draw picture as the given current and the mesh)

Matlab软件求矩阵的特征值，进行矩阵的初等变换；讨论向量组的线性相关性等运算。(Matlab software, the eigenvalues of a matrix, the matrix of the elementary transformation discussion of linear correlation vector group such operations.)

ieee9.m 相信对以一定有用 用过matlab运行 对于ieee9 bus(ieee9.m file)

We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.

系统论述了滑模变结构控制的基本理论、基本方法和应用技术，并全部给出了MATLAB仿真分析。全书内容涵盖了滑模变结构控制发展综述、连续系统滑模控制、自适应鲁棒滑模控制、欠驱动系统滑模控制、反演及动态面滑模控制、基于滤波器及观测器的滑模控制、离散系统滑模控制、模糊滑模控制、神经滑模控制和机械手滑模控制等。(The basic theory, basic method and application technology of sliding mode variable structure control are discussed systematically, and all MATLAB simulation analysis is given. The book covers the development of sliding mode variable structure control, continuous system sliding mode control, adaptive robust sliding mode control, underactuated system sliding mode control, inversion and dynamic surface sliding mode control, based on the filter and observer sliding Mode control, sliding mode control of discrete systems, fuzzy sliding mode control, neural sliding mode control and manipulator sliding mode control.)