TASI

基于空间飞行器的姿态仿真源程序，仿真表明非常的准确。(Based on the spacecraft attitude simulation source code, simulation shows that very accurate.)

将视觉注意力用于同步定位于构图的一篇经典文献，详述了视觉注意力理论及其用于SLAM的具体步骤(A classic literature, visual attention for simultaneous localization composition detailed theory of visual attention and its concrete steps for SLAM)

对模拟的雷达回波信号使用不同小波基对其进行的小波分解。(Radar echo signal simulation using different wavelet bases its wavelet decomposition.)

关于语音通信信道调制的程序代码，是论文的仿真程序(About voice communication channel modulation code, the authors of the paper simulation program)

快速FFT的算法,在做数字信号处理时，需要做频谱分析时需要用到的快速傅里叶变换的算法。(Fast FFT algorithm)

用simulink实现8PSK调制解调，并显示眼图和星座图(8PSK in simulink realise)

program for different combining schemes with different diversity

matlab关于数据的预处理的一些程序，很全，中心化，归一化，多元散射校正(matlab on some pre-program data, very wide, centralized, normalization, multiplicative scatter correction)

电机矢量控制模型，控制参数可调，模型可改变成任何电机。(Motor vector control model, adjustable control parameters, the model can be changed to any motor.)

This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder). (This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal s programs collection, which can be found in [1]. While Neal s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).)