edfa-gain-with-length

混沌工具箱，混沌时间序列仿真以及各种算法的软件包(Chaos toolbox, chaotic time series simulation package as well as a variety of algorithms)

采用卡尔曼滤波的阻尼系数的非线性估计：用于较小但未知阻尼系数，增强阻尼因子的可测性(This implementation uses lower (but unknown)damping to improve damping observability.)

BPSK调制下的2发一收空时分组码程序，本程序是对两发一收情况下采用空时分组码的性能分析，星座映射采用的是BPSK映射，接收天线上的接收信噪比，在仿真的过程中把接收信号的功率归一化为1(BPSK modulation issued a collection of two space-time block code program)

CUBIC spline analysis

matlab图像处理实例详解第三章源码程序，推荐大家一起学习，很好很实用。(Detailed examples matlab image processing Chapter III source program, recommend everyone to learn, very very useful.)

一个二维的卡尔曼滤波程序，给定了状态方程和观测方程，对学习信息融合，滤波估计灯方面有积极的知道效果(A two-dimensional Kalman filtering process, given the state equation and observation equation, the study of information fusion, filtering light area is estimated to know there is a positive effect)

matlab中的Kriging 算法，可以有Kriging的多种算法(The Kriging algorithm in matlab)

An Empirical Interference Modeling for Link Reliability Assessment in Wireless Networks(Abstract—In recent years, it has been widely believed in the community that the link reliability is strongly related to received signal strength indicator (RSSI) [or signal-to-interference-plus-noise ratio (SINR)] and external interference makes it unpredictable,which is different from the previous nderstanding that there is no tight relationship between the link reliability and RSSI (or SINR), but multipath fading causes the unpredictability. However,both cannot fully explain why the unpredictability appears in the link state. In this aper, we unravel the following questions: 1) What causes frame losses that are directly related to intermediate link states? 2) Is RSSI or SINR a right criterion to representthe link reliability? 3) Is there a better easure to assess the link reliability? We fi rst confi gured a testbed for performing a real measurement study to identify the causes of frame losses, and observed that link reliability depends on an intraframe SINR distribut)

声音处理的MATLAB程序：DISTISPF (calculates the Itakura-Saito spectral distance between power spectra )

本程序实现深度学习的卷积神经网络（CNN）算法，含有训练程序和测试程序(This program implements convolution depth learning neural network (CNN) algorithm contains training programs and test procedures)