dotNETvisualization

主要用于雷达信息处理领域中恒虚警的处理，该程序对理解cfar有很好的帮助(Mainly used for radar information processing in CFAR processing, the program has a good understanding cfar Help)

QR 分解 （包括Householer, Givens, 经典Gram Schmidt, 修正的GS methods)(QR factorization including Householer, Givens, CGS, MGS)

c++必备：c++ primer、clean code、effective c++(c++ primer、clean code、effective c++)

自己编写的一维数学形态学滤波示例程序，可以直接运行(One dimensional mathematical morphology filtering procedures, can be directly run )

data_acquisition_Simulink model

学习matlab的优秀资料，认真研究学习，读者可以从中获得启发，对matlab的学习具有很强的学习意义。(Learning matlab excellent information, serious research study, the reader can derive inspiration, has a strong sense of learning for learning matlab.)

program that the process can make word also thin

this is an PFC demo file3.

二阶相位调制matlab精确仿真 二阶相位调制matlab精确仿真 (二阶相位调制matlab精确仿真 )

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.