MIMO2X2

计算魔方矩阵 是纯属于 手工打入 有意思 值得看(Cube matrix is calculated purely by hand into interesting to see in)

让ARToolKit支持MQO模型所需的所有函数实现代码，均在对应的GLMetaseq.c中。(Let ARToolKit supports all the functions needed to MQO model codes, both in the corresponding GLMetaseq.c.)

该程序实现了A律13折线量化编码过程。包括两种译码方法：1手工译码法，2逐次反馈法。(the program achieved a 13 dogleg A legal quantify the encoding process. Including two decoding methods : a manual decoding, two successive feedback.)

Matlab环境下，进行二维空间波动方程的模拟。吸收边界条件(Matlab environment, the wave equation for two-dimensional simulation. Absorbing boundary conditions)

深空阵列中的SUMPLE与SIMPLE算法性能对比 以及SUMPLE算法相位漂移与补偿算法 一种基于SUMPLE幅度修正算法(the comparsion of the sumple and simple algorithms, the phase wandering and compensation including)

color segmentation that could extract image

脉冲振幅（PAM）的仿真：脉冲振幅调制，即是脉冲载波的幅度随基带信号变化的一种调制方式。如果脉冲载波是由冲激脉冲组成的，则前面所说的抽样定理，就是脉冲振幅调制的原理。(Pulse amplitude (PAM) of the simulation: Pulse amplitude modulation, that is, the range of carrier pulse with changes in base-band signal of a modulation. If the pulse carrier is formed by the impulse of the pulse, then said in front of the sampling theorem, that is, the principle of pulse amplitude modulation.)

设采样频率为1Hz，对于淹没在复高斯白噪声中的信噪比为 的两个复LFM信号，采用子带带宽为0.1Hz的升余弦滤波器，共9个子带滤波器构成的滤波器组，时间窗为窗长为256的矩形窗，进行仿真(based sampling frequency of 1Hz. For drowned in the complex Gaussian white noise to the signal-to-noise ratio of 2 Minute LFM, using sub-band bandwidth of 0.1 Hz or cosine filter, a total of nine sub-band filter a filter group, time window to window to 256 long rectangular window simulation)

详细介绍了自回归技术公式,同时采用此技术模拟具有空间相关性的随机风荷载,给出了用自回归技术模拟脉动风荷载的步骤以及具体 MATLAB程序(In this paper, the technology of autogressivemodel is introduced. Stochasticwind loadingw ith time and spatial correlation is generated by the autogressive-type simulationmethod, giving autogressive-type simulation process andMATLAB program)

使用matlab_GUI编写，包括：扩展卡尔曼滤波，粒子滤波，去偏卡尔曼滤波和循环增益尔曼滤波的源程序，根据初始预测计算滤波值 再通过输入观测值进行卡尔曼滤波的仿真GUI界面程序(Matlab_GUI prepared to use, including: extended Kalman filter, particle filter, to the partial gain of Kalman filter and recycling thalmann source filter, according to the initial value of prediction filter observations through the input of the Kalman filter to simulation procedures GUI interface)