3D-SPIHT

说明：  GMSK信号的产生，调制，首先信号通过高斯滤波器，然后进行MSK调制(GMSK signal generation, modulation, the first signal through the Gaussian filter, and then MSK modulation)

Matlab code for the Simulation of the Maxwell-Dirac and Schrodinger-Poisson systems

基于贝叶斯的显著目标检测代码。内附图像数据。(Bayesian significant target detection code. With the image data.)

Image Denoising using Non-local Wavelet Basis

说明：  利用MATLAB编写的该代码,可以将数据写入到TXT文件中,里面还赋有说明(Prepared by the use of MATLAB code, the data can be written to TXT file, which is also endowed with that)

说明：  低通高通带通带阻四种数字滤波器实验报告,里面有详细的程序(Low pass, qualcomm, band-pass, band-stop four digital filter)

单次快拍二维ESPRIT算法，通过构造单次快拍等效协方差矩阵实现二维DOA估计(single snapshot 2D ESPRIT algorithm)

室内环境射线跟踪算法研究，这是对室内环境建模(Indoor Environment Research ray tracing algorithm, which is modeled on the indoor environment)

多假设跟踪Matlab代码例子,也是从别的地方下载的(example of MHT target tracking)

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.)