MATLABInterpolation_and_fitting

Laws texture Energy

converter using mat lab

信号处理MUSIC算法DOA波达方向估计,算法采用均匀圆阵的MUSIC估计( The signal processing algorithm DOA MUSIC DOA estimation algorithm uses uniform circular array MUSIC estimates)

扩展卡尔曼滤波 的数据融合算法实现，航迹关联(EKF information synchronous data fusion algorithm)

THIS IS THE MATLAB CODE FOR PTS TO REDUCE PAPR

参数选择，可以用正交化方法实现对ＫＥＲｎｅｌ核函数参数选择(Preferences, you can achieve with the orthogonal method KERnel kernel function parameter selection)

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

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.

时频分布已被用来提供高分辨率表示大量的信号处理应用程序。然而,高分辨率和准确瞬时频率(如果)估计通常依赖于分布和使用信号相位函数的复杂性。(The time-frequency distribution has already been used to provide high resolution said a lot of signal processing applications. However, high resolution and accurate instantaneous frequency (if) estimates usually depends on the distribution and use of the complexity of the signal phase function.)

Adaptive noise removal filter for both grayscale and color images