容量限制和多路复用收益多输入多输出

CODIGO ASSEMBLER Y DIAGRAMA ELECTRICO DE UN ROBOT RASTRERO CON MICROCONTROLADOR

turbo码的matlab程序,wuyufei版的(turbo codes matlab program, wuyufei version)

隐马尔科夫过程的matlab代码，可用于流量建模(Matlab code of the hidden Markov process can be used for traffic modeling)

C4EST UNE FONCTION POUR CHARGER LES DONNER eeg DE TYPE gdf

lbg算法用matlab实现。。内有英文文献及相关代码(Lbg algorithm matlab.. There were English literature and relevant code )

从声波测井波形资料中求取各个模式波（非频散波）的慢度（速度），并绘制STC图(extract the slowness(velocity) of mode waves(no-dispersion wave) from acoustic logging data.and plot STC map.)

改进FAST-ICA采用3阶牛顿进行迭代，收敛速度更快(Improvements of the FAST-ICA order 3 Newton iterations, convergence is faster)

Example in comparision between FDM and FEM in 1D problem

采用快速固定点法求解ICA，进行主成分分析(ICA was solved by fast fixed point method and principal component analysis was performed)

In previous work, we presented GMTI detection and geo-location results from the AFRL Gotcha challenge data set, which was collected using a 3-channel, X-band, circular SAR system. These results were compared against GPS truth for a scripted vehicle target. The algorithm used for this analysis is known as ATI/DPCA, which is a hybrid of alongtrack interferometry (ATI) and the displaced phase center antenna (DPCA) technique. In the present paper the use of ATI/DPCA is extended in order to detect and geo-locate all observable moving targets in the Gotcha challenge data, including both the scripted movers and targets of opportunity. In addition, a computationally efficient SAR imaging technique is presented, appropriate for short integration times, which is used for computing an image of the scene of interest using the same pulses of data used for the GMTI processing. The GMTI detections are then overlaid on the SAR image to produce a simultaneous SAR/GMTI map.