Bachsteppmethodappliquebuck

基于matlab开发环境的LEANCH协议的详细注解，和自己本人改写的一部分关于改变跳数的方法，从而延长网络的生存周期，优化网络。(Matlab development environment based on detailed notes LEANCH agreement, and I rewrote part of their own hops on the change in the method, thereby extending the lifetime of the network, optimizing network.)

计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步(G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil)

实现雷达系统中7位巴克码的调相信号的回波接收系统的matlaB程序(Radar system seven Barker code modulation signal receiving system matlaB echo procedures)

Using Over complete subband

1) 以身高为例，画出男女生身高的直方图并做对比； 2) 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3) 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4) 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(1) taking height as an example, draw the histogram of male and female students and compare them; 2) the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students; 3) using Bayesian estimation method to find the parameters of height and weight distribution of male and female students (assuming the variance is known, please indicate some of the parameters selected by the job); 4) using the minimum error rate Bayes decision, draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?)

imagem polar signature matlab

小波包能量谱的计算，对信号进行频段分析，特征提取，用于模式识别(wavelet packet energy spectrum)

By this code developed for matlab you can find out the eyes located in the image useful for red eye removal on an image

说明：  基于TOA|TDOA|AOA算法的比较，含详细MATLAB源程序(Based on TOA | TDOA | AOA Algorithms, with detailed MATLAB source code)

Multi-axial mode modelocking