channel

下垂控制的matlab仿真,有功和无功的调节。(simulink of droop control，adjust of active power and reactive power.)

我按这篇文章做的，广义高斯分布及其在图像去噪中的应用，没有完全做出来，谁做出来了，分享一下(　The statistics of imagewavelet coefficients is non2Gaussian and can be described by generalized Gaussian distribution (GGD). The paper investigates the issues of GGD statisticalmodel for wavelet coefficients in a sub2 band and the corresponding parameters estimation . A Bayesian estimate based subband adaptive thresholding de2 noising algorithm is designed, and the performance of noise reduction of this algorithm, compared with other clas2 sicalwavelet thresholding denoising methods, is discussed according to simulation results . Keywords　image wavelet coefficients generalized Gaussian distribution BayesShrink algorithm image de)

追赶法求解，可以直接调用，抛物方程紧差分(Chasing method can be called directly)

MATLAB仿真在数据可视化表达中的应用实验,一篇毕业论文。(MATLAB simulation data visualization in the application of the expression experiments, a graduation thesis.)

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.

说明：  传感器阵列波束优化设计与应用书籍第7章的matlab程序(Chapter 7 matlab program of book Sensor array beam optimization design and application)

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

宽带MVDR波束形成源代码，可以改参数，功率输出分贝表示(Broadband MVDR beamforming source code, you can change parameters, said power output dB)

queues and stacks implementation

Image processing is my soul.and i love it lot