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矢量水听器圆阵的常规波束形成仿真程序，十字交叉阵(Vector Hydrophone conventional circular array beamforming simulation program, criss-cross array)

功能[DATAOUT]= PGA（DATAIN），执行相位梯度 ％ISAR自动对焦。 ％ ％DATAIN ISAR范围内的实时数据。 DATAOUT％范围内的实时数据已被删除平移 ％相位误差。 ％ ％参考： ％D.E.瓦尔，P.H.艾歇尔，特区吉利亚，C.V. Jakowatz，“相 ％梯度自聚焦一个强大的工具，用于高分辨率SAR相 ％修正“，硕士论文。航空。＆电子系统，第30卷，3，1994。(function [dataout]=PGA(datain) performs phase gradient autofocus of ISAR. datain is range-time data of ISAR. dataout is range-time data that have been removed translational phase error. Reference: D.E. Wahl, P.H. Eichel, D.C. Ghiglia, C.V. Jakowatz, "Phase gradient autofocus-a robust tool for high resolution SAR phase correction," IEEE Trans. Aero. & Elec. Sys., vol. 30, no. 3, 1994.)

实现神经网络控制的rbf逼近函数，十分经典的一个例子(NNc bijin nonlinear function)

用二维离散余弦变换(DCT)进行数字水印matlab源码(two-dimensional discrete cosine transform (DCT) digital watermarking Matlab FOSS)

Simulation of Inverse SAR using MATLAB. It contains all source codes related to SAR imaging, ISAR imaging, Fourier Transform etc.

最新的改进的遗传算法，具有很多的函数，非常好用(Genetic Algorithm)

OFDM同步技术仿真，带有码间干扰和半码调制，多信道衰落。(OFDM synchronization technology simulation, inter-symbol interference and a half with code modulation, multichannel fading.)

小波分解的Mallat快速算法 Mallat快速算法的图像分解的Matlab代码(Matlab code image decomposition Mallat fast wavelet decomposition algorithm Mallat fast algorithm)

用于特征降维，特征融合，相关分析等,数值分析的EULER法，音频信号通过LM386放大。( For feature reduction, feature fusion, correlation analysis, EULER numerical analysis method, LM386 audio signal amplification.)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)