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ep2.m
Hessenberg solution MATLAB code.
- 2009-11-02 01:42:23下载
- 积分：1
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Gauss-signal-spectrum-estimation
将含有高斯白噪声的输入信号通过线性系统后（带阻滤波器）的输入、输出前信号的频谱、功率谱对比。同时给出了线性系统特性(Gaussian white noise, containing the input signal by a linear system (bandstop filter) of the input, before the output signal spectrum, the power spectrum of contrast. Also gives a linear system characteristics)
- 2013-09-15 21:34:34下载
- 积分：1
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HiJ-based-sliding-mode-cotrol
基于HiJ理论的滑膜鲁棒控制，对机器手动力学控制进行了建模，设计了滑膜控制器，并进行了仿真分析(HiJ based sliding mode cotrol)
- 2016-04-28 16:11:35下载
- 积分：1
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MATPOWER-OPF-slides-zimmerman
this is an explanation about matpower
- 2020-09-02 03:28:08下载
- 积分：1
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mixfun
基于等式约束和不等式约束的非线性规划的混合型惩罚函数优化方法(Based on equality and inequality constrained nonlinear programming mixed penalty function optimization)
- 2013-10-01 22:03:05下载
- 积分：1
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Selective
数据链路层滑动窗口协议的设计与实现源码
信道模型为8000bps 全双工卫星信道，信道传播时延270 毫秒，信道误码率为10-5，信道提供字节流传输服务，网络层分组长度在240~256字节范围。(Sliding window data link layer protocol design and implementation of source-channel model 8000bps full-duplex satellite channel, the channel propagation delay 270 ms, the channel bit error rate of 10-5, the channel provides a byte stream transfer service, network layer packet length in the range of 240 to 256 bytes.)
- 2013-12-08 11:45:53下载
- 积分：1
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GAPSO-and-CPSO-for-FIR-Design
遗传粒子群和混沌粒子群进行FIR滤波器的设计，并进行对比，滤波器可改，可寻到最优解！(Genetic particle swarm and chaotic particle swarm FIR filter design, and contrast, the filter can be changed, the hopes of finding the optimal solution!)
- 2012-12-18 09:38:29下载
- 积分：1
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window
基于窗函数法的FIR数字滤波器设计与实现，程序比较简单，易懂。(FIR digital filter based on window function.)
- 2010-06-05 15:22:48下载
- 积分：1
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pls
一个PLS的matlab程序，包括求残差矩阵求回归方程的系数，删除回归分析的常数项，求误差平方和。(A PLS matlab procedures, including seeking residual matrix coefficients of the regression equation, deleted regression constant term, seeking the error sum of squares.)
- 2013-05-24 08:50:48下载
- 积分：1
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RGLS
该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)
- 2012-12-28 16:04:47下载
- 积分：1
