gold

多目标跟踪中的交互式多模型数据关联，仅供参考，谢谢(Interactive multi-model data association in multi-target tracking for reference only, thank you)

约束优化问题在matlaB中的实现，压缩包里面包含讲义和源代码。(Constrained optimization problem in MATLAB to achieve compression package contains the lecture notes and source code.)

基于matlab的画出一个不完整的椭圆，结果完美。只要稍作修改可以出来任意要求范围的不完整椭圆。(Matlab to draw the ellipse )

该代码为多频外差四频相移的原理程序，开发环境为MATLAB,可以帮助初学者快速了解外差法的原理。(The code on multiple frequency heterodyne principle of four frequency phase shift process, development environment of MATLAB, can help beginners to quickly understand the heterodyne principle. )

《Simulink电子通信仿真与应用》，通信专业的好书，详细介绍在MATLAB的SIMULINK环境下如何进行建模仿真(Simulink simulation and application of electronic communications, communications professional books, detailing the circumstances in MATLAB-SIMULINK model and simulate how)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

一个应用于mathematica的动力学建模的软件包，可实现符号建模。(Kinetic modeling software package used in mathematica symbolic modeling.)

matlab常见错误的提示和原因以及解决方法(matlab tips for the causes of common errors and solutions)

自动化程序生成包，对于进行的操作编码和分析操作指令，生成可以重复使用的程序代码(Automatic program generation package for the operation code and the analysis operation instruction to generate the program code can be reused)

the use of coherent space-frequency coding in orthogonal frequency division multiplexing (OFDM)-based frequency-selective multiple-input multiple-output (MIMO) antenna fading channels has been proposed. Acquiring knowledge of the fading coefficients in a MIMO channel is already very challenging in the frequency-flat (fast) fading case. In the frequency-selective case, this task becomes significantly more difficult due to the presence of multiple paths, which results in an increased number of parameters to be estimated. In this paper, we address code design for noncoherent frequency-selective MIMO-OFDM fading links, where neither the transmitter nor the receiver knows the channel. We derive the code design criteria