Subband-Adaptive-Filtering

MATLAB 天线方向图 包裹多中的天线(tian xian fang xiang tu jk jkjds jkj jkjs oie kjc lkd m,m ik oiejn jkjda iopewjk peowp nkfkl )

语音信号线性特征的能量熵特征的计算，这是第一能量熵的源码，希望大家可以借鉴一下(Linear characteristics of speech signal characteristics of the energy calculation of entropy, this is the first energy entropy of the source, I hope we can learn about)

详细介绍了在MATLAB环境中，MAT文件的编辑与读写，通常使用load和save两个命令进行 MAT 文件的读和写(Described in detail in the MATLAB environment, MAT files editing and read and write, load and save commonly used two commands to read and write MAT files)

CDMA 仿真程序 将txt改回m即可使用 主要是链路级的方针程序(CDMA simulation program will txt back to m is to use the principle of link-level procedures)

自动离合器，模型包含制动器，，变速器，主减速器，差速器等子模型及其模糊控制规则(Automatic clutch, the model includes brakes, transmission main gear box, differential and sub-model and its fuzzy control rules)

求解Lambert问题。 输入：轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t(缺点是脉冲太大)。 输出：质点在R1端点的速度V1，质点在R2端点的速度V2. 此函数用于：在给定轨道上两个点的位矢R1、R2，以及从R1到R2所用的时间t。求解V1、V2。再调用前面的函数就可以确定轨道根数，及任意时刻质点的状态。(To solve the Lambert problem. Input: track two-point position vector R1, R2, and R1 to R2 used in the time t (The disadvantage is that the pulse is too large). Output: particle R1 endpoint speed V1, the particle in the R2 endpoint speed V2. This function is used: two points in a given orbit position vector R1, R2, and from R1 to R2 with the time t. Solve the V1 and V2. And then call the previous function can determine the orbital elements, and any moment of the particle' s state.)

反馈网络是神经网络的基础 这里提供了神经网络中用到的反馈 这里能充分理解文档的内容就能很好的掌握神经网络的基础。我将各个函数写成了不同的文档 就是便于大家理解。(Feedback network is the basis of the neural network here provides feedback neural network is used here to fully understand the content of the document can very good master the basis of neural network. I will each different function in the form of a document is easy to understand.)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

对于复杂网络和小世界网络聚类系数和平均路径长度的计算(The calculation of the clustering coefficient and average path length)

这是一个关于直线拟合的matlab程序，绝对原创(Linear fitting)