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alpha-beta
alpha-β滤波器是针对匀速运动目标模型的一种常增益滤波器，本代码给出了在目标机动指标已知、未知和自适应滤波三种情况下的仿真代码(alpha-β filter is a moving target model for a uniform constant gain filter, the code is given in the target mobile targets known, unknown and adaptive filtering three cases of simulation code)
- 2011-10-28 10:13:46下载
- 积分：1
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gardner
-Gardner同步算法仿真，结合代码进行算法学习研究(-Gardner Synchronization Algorithm Simulation. This m file to Gardner algorithm to generate a signal to send, receive and be given simultaneously.)
- 2016-10-19 17:16:23下载
- 积分：1
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An-Introduction-Kalman-Filter
kalman 滤波器使用介绍，初学者的参考,最好先学习一下其推到过程(kalman filter using the introduction of reference for beginners, it is best to first learn about the process of pushing)
- 2011-11-24 17:05:28下载
- 积分：1
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wind_statcom
含风机和statcom补偿的小型输电系统，可以模拟风力波动、母线故障、风电投切造成的电能质量问题，并通过statcom补偿稳定母线电压并滤除谐波，效果较好，与大家分享。(The small power transmission system with fan and statcom compensation can simulate the power quality problems caused by wind power fluctuation, bus fault and wind power switching, and stabilize the bus voltage by statcom and filter out the harmonics, and it is better to share with you.)
- 2017-04-28 16:12:04下载
- 积分：1
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Naka
Draw Nakagama distribution
- 2009-05-29 09:58:16下载
- 积分：1
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CSL1.0
A Comprehensive Sparse Learning Package(Descriptions: Six sparse algorithms are implemented in this package. They are
1) SVM
2) L1-norm SVM
a) Linear Programming SVM
b) SC-SVM
3) L0-norm SVM
4) RVM (Relevance Vector Machine)
5) SPC (Sparse Probit Classifier))
- 2013-07-23 11:31:33下载
- 积分：1
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eisabook
ESIA System Architecture
Second Edition
- 2010-12-31 12:02:21下载
- 积分：1
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LS_ar
用总体最小二乘法+AR的现代谱估计方法对信号的功率谱进行估计。(By total least squares method AR+ modern spectral estimation method for estimating the power spectrum of the signal.)
- 2015-01-07 12:46:58下载
- 积分：1
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logbptest
采用对数域消息传递算法（LLRBP）的LDPC码译码方案，用matlab程序编写。(Logarithmic domain message passing algorithm (LLR BP) LDPC code decoding program, a program written in matlab.)
- 2016-03-23 17:33:30下载
- 积分：1
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fit_ML_maxwell
fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!.
Given the samples of a log-normal distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2))
with parameters: m,s
format: result = fit_ML_log_normal( x,hAx )
input: x - vector, samples with log-normal distribution to be parameterized
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
m,s - fitted parameters
CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type - ML
- 2011-02-09 19:08:34下载
- 积分：1
