MATLAB

程序是根据惯性导航的误差方程所编写的，用于惯导解算误差分析和组合导航，希望对大家有用(The program is written based on inertial navigation error equation for INS solver error analysis and integrated navigation, the hope that useful)

文件中包含一些基本的处理雷达信号的matlab源程序(File contains some basic radar signal processing matlab source)

麦克风阵语音增强中波束形成后维纳滤波的MATLAB代码(Microphone Array Speech Enhancement Beamforming MATLAB code after the Wiener filtering)

信息熵 离散无记忆信道容量的迭代计算 Shannon编码 Fano编码 Huffman编码(Discrete information entropy of the iterative calculation of the memory channel capacity Shannon coding Fano coding Huffman coding)

communication system 2

译码协同通信的蒙特卡洛仿真 基于最大比合并接收方法(Decoding the Monte Carlo simulation of cooperative communication)

G-code生成器，在matlab中使用，模拟数控加工，用于生成G代码(G-code Generator can be used in Matlab to simulate computerize-numberal-control process and generate general G code.)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

number of Bayesian networks

Create a delay using C language.Tool used is MPLAB