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采用LDPC编码对随机的二进制序列进行纠错编码和基带调制，在AWGN信道上进行传输，然后在接收端并采用合适的方式进行解调和译码，最后对纠错编码的性能加以分析。(LDPC codes using random binary sequence of error-correcting coding and base-band modulation, for transmission in the AWGN channel, and then at the receiving end and use the appropriate manner demodulation and decoding, error correction coding on the performance of the final analysis.)

超宽带无线通信基础，国外UWB经典著作，学习UWB必备书籍，内含大量matlab源码(UWB wireless communication classic,containing a large number of matlab source code)

matlab 分形 dragon图形的matlab源代码(matlab matlab fractal dragon graphics source code)

basically a trial run to get back into the mode of things. This is a simple MCM communications system. The code is pretty self-explanatory

说明：  用来处理气象上NCEP资料grib2的matlab处理程序(Matlab Processing Program for Processing NCEP Data grib2 in Meteorology)

matlab实现的用fisher方法进行分类的任务(achieved using Matlab fisher method for classifying tasks)

线性水波方程的matlab代码，能画出图来的，很方便(Linear wave equation matlab code to draw the diagram, very easy)

基于LSB的直接4bit替换法，就是直接用秘密图像像素值的高4bit去替换载体图像像素值的低4bit。 (Direct 4bit substitution, that is, the direct use of the secret image pixel values of the high-4bit image pixel value to replace the carrier' s low 4bit.)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

说明：  实现卡尔曼滤波，可以看出，滤波过程是以不断地“预测—修正”的递推方式进行计算，先进行预测值计算，再根据观测值得到的新信息和kalman 增益（加权项），对预测值进行修正。由滤波值可以得到预测，又由预测可以得到滤波，其滤波和预测相互作用，并不要求存储任何观测数据，可以进行实时处理。(Kalman filtering, can be seen, the filtering process is constantly &quot forecast- Fixed&quot recursive manner calculated to predict the value of the first, and then according to the new information should be observed and the kalman gain (weighted items), on predictive value of the amendment. Value can be predicted by the filter, but also can be filtered by the forecast, and its interaction filtering and prediction, does not require the storage of any observational data, real-time processing.)