-
wuxianchuangandingwei
无线传感定位的一个入门算法,介绍了信标节点密度与定位精度的关系(Wireless sensor positioning as an entry algorithm introduced beacon node density and the relationship between positioning accuracy)
- 2011-09-23 22:41:28下载
- 积分:1
-
The-best-Chinese-MATLAB-Tutorial
MATLAB最好的中文教程,非常适合初学者(The best Chinese MATLAB Tutorial)
- 2013-11-07 19:51:36下载
- 积分:1
-
Software-Defined-Radio
基于matlab-simulink的软件无线电系统的仿真实现(Matlab-simulink simulation system based on software radio realization)
- 2014-12-22 15:02:17下载
- 积分:1
-
power_svc_pss
说明: simulink仿真,电力系统发生故障时,电力系统稳定器作用,使发电机转子功角一致性和频率同步。(Simulink simulation, when the power system fault, the power system stabilizer function, so that the generator rotor power Angle consistency and frequency synchronization)
- 2019-04-23 20:36:30下载
- 积分:1
-
CoaxialCableCDMA
This program is about coaxial sysytem of CDMA used in mobile communication
- 2009-03-04 19:30:22下载
- 积分:1
-
zizaixianmo
自再现模形成的模拟程序,可以通过改变迭代次数观察自再现模的形成过程(The formation of self-reproduction mode simulation program can be observed by changing the number of iterations the formation of self-reproduction model)
- 2009-12-25 17:51:33下载
- 积分:1
-
PFCCM400percent97k50
this is an PFC demo file3.
- 2012-05-14 11:21:08下载
- 积分:1
-
Seg_MATLAB
有序样品的最优分割的算法及其在MATLAB中的实现(Segmentation of sequence data in Matlab)
- 2014-09-09 20:08:15下载
- 积分:1
-
matlabxiabo
小波域内去噪滤波器matlab代码(MATLAB 图像处理与计算机视觉 )(Wavelet domain denoising filter matlab code (MATLAB image processing and computer vision))
- 2012-10-29 17:26:04下载
- 积分:1
-
hsmm
说明: 隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分:1