mysusan

nnlab programming in matlab that implement a simple example of mlp neural network

Generate an hexagonal network with a free space pathloss model

做出数据的图谱，并用归一化、傅里叶变换进行藻种识别(photo the data,and then normalize the data and then identify them.)

光纤激光器相关文献，文章描述了光纤激光器的一些最新进展，适合有关领域的研究人员研究时作参考。(fiber laser)

一篇基于三维的传感器网络部署算法的论文希望和大家一起学习(wsn)

逐行读取文本中的数据，自动存储到一个序列数组中(Text data read line by line, is automatically stored into an array sequence)

非常好的turbo编译码程序，可以给初学者提供参考，共同进步。(Very good turbo encoding and decoding program can provide a reference for beginners and common progress.)

根据题目，在三类协方差不相等和三类协方差相等的情况下进行bayes分类 (Under the title, in three categories and three types of covariance not equal covariance equal manner bayes classification)

Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background

基于余数系统的OFDM无损峰均比抑制方法1001-0548(2013)05-0667-05(Residue Number System Based OFDM Method for Lossless PAPR Reduction)