quality-guided

说明：  计算光纤模式 Optical signal sources that are capable of generating wavelength tunable ultra-short pulse train with high quality and high repetition rates play an important role in the optical networks(fiber mode)

验模态分解（Empirical Mode Decomposition,简称EMD）是一种自适应信号分解方法,主要应用于非线性非平稳的信号。整体平均经验模态分解（Ensemble Empirical Mode Decomposition,简称EEMD）解决了EMD中出现的模态混合问题。(Ensemble Empirical Mode Decomposition)

Spectrum sensing is one of the core technologies for cognitive radios (CR) that in this project used Pd vs Pm

Simulate MIMO system with BER and capacity

This example application shows you how to use Real-Time Workshop Embedded Coder to target a dual core Blackfin microprocessor. The complete build is managed by a template makefile and control over the memory regions is provided by custom storage classes. The example imposes a top level architecture on the model to define the split of model code between the two cores. This document describes a complete run-through of the model from Simulink simulation to code simulation using VisualDSP. I think it will take about 1 hour to go through the example once you have VisualDSP installed.

关于目标追踪的一个源代码，比较了卡尔曼滤波和粒子子滤波的跟踪效果。 ，经测试可直接使用。 (A source code on the target track, and compare the tracking performance of the Kalman filter and particle sub-filter. Has been tested and can be used directly.)

相控阵雷达的MIMO的仿真,对于雷达中的仿真(MIMO simulation of phased array radar, radar simulation)

This is a simple matlab routine that calculates a simulated multiplicative cascade process for a time series, then compares it with a real time series you want to analyze, and plots them both in log-log coordinates to compare them. You should have your time series in a format of double column listing: the ordinal member in the first column, the corresponding data in the second one. Then you change the file name that appears in the program for the name of your own file, and proceed.

This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.

本代码包括经典的MMSE方法和LCMV方法的推导，并包括两种方法的仿真,很有用！(The code includes the derivation of the classical methods and LCMV MMSE method, and includes simulation of the two methods, very useful!)