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EDFASinglePassGain_Analytical
EDFA Single Pass Gain Analytical
- 2013-08-23 04:57:34下载
- 积分：1
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ciccomp
本代码可以实现CIC的抽取滤波功能，性能很好(This code implements the CIC decimation function, performance is very good)
- 2013-07-26 13:39:43下载
- 积分：1
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kalman_fitering
这是我在科研中编写的卡尔曼滤波程序，希望对大家有用，已调试好。(This is a Kalman filtering algorithm program. I have applied in filtering process by matlab.)
- 2009-04-17 12:22:56下载
- 积分：1
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546851464
考虑到房屋内多种噪声，混响的影响，求出房屋的冲激相应(Taking into account a variety of house noise, reverberation effects, find the appropriate housing impulse)
- 2010-11-21 09:18:14下载
- 积分：1
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PCAweishu
pca_new程序是一个用于降维的程序。用于降低数据的维数，更好精简冗余信息。(pca_new.m is used for data dimention reduction.)
- 2010-02-26 19:01:22下载
- 积分：1
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matpower3.0b3
说明： 电力系统最优潮流程序，可以应用于电力市场下的最优潮流计算。适合电力系统专业的同仁使用(optimal power flow procedure can be applied to the electricity market under the optimal power flow calculation. Power systems for the professional colleagues use)
- 2005-09-10 20:16:21下载
- 积分：1
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Double_buck_PI_Control
Double_buck_PI_Control.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(Double_buck_PI_Control.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
- 2013-08-26 22:38:07下载
- 积分：1
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fuzzy-identification-
fuzzy identification
- 2014-10-18 18:22:21下载
- 积分：1
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cell_auto_program
元胞自动机的大部分程序，包括元胞自动机生成sierpinski直角垫片 ，在六边形的元胞自动机上模拟单粒子运动,算法是基于FHP规则.以及元胞自动机模拟地球卫星的云图 ，元胞以固定的概率向相邻的4个元胞扩散 zz问题，元胞自动机模拟地球卫星的云图 ，以及生命游戏，机器人等程序(Cellular automata most programs, including cellular automata generate sierpinski Cartesian pads, analog single particle motion in the hexagonal cellular automata, FHP is based on rules. Well as cellular automata simulation Earth satellite imagery , cellular fixed probability to four adjacent cellular proliferation zz problems, cellular automata simulation Earth satellite imagery, as well as Game of Life, robots and other procedures)
- 2014-01-19 16:55:42下载
- 积分：1
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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
