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RLS_Algo
功能描述：用matlab语言实现RLS自适应算法
函数名：RLS_Algo
输入参数：
(1)M:滤波器的阶数
(2)N:LMS算法迭代的次数
(3)lamda:遗忘因子
(4)xn:LMS算法的输入序列
输出参数：
(1)系数矢量A
调用函数：无
被调用：
作者：mingcheng
编写时间：2009-10-13
修改时间：2009-10-13
版本：V1.0 (Function Description: The RLS adaptive algorithm matlab language function name: RLS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) lamda: forgetting factor (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A call the function: No to be called: of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )
- 2010-07-11 12:17:40下载
- 积分：1
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matlab_wavelet
用matlab做的小波信号变换系统
对于初学Wavelet的同仁是个不错的入门资料(wavelet )
- 2009-11-05 13:21:22下载
- 积分：1
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LMS
该程序实现了lms算法的仿真，便于学习信号处理的朋友理解该算法。(The program implements the lms algorithm simulation, easy to learn to understand the signal processing algorithm friends.)
- 2010-12-04 21:27:37下载
- 积分：1
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hilbert1
说明： 一个实现hilbert变换的小程序包，程序写得很简明，对理解hilbert变换的实现过程很有帮助(Hilbert transform an implementation of small packages, programs written very concise and to the understanding of the implementation process is helpful hilbert transform)
- 2011-04-06 09:13:26下载
- 积分：1
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webserver-matlab-
无线传感器网络与matlab的结合，用来进行仿真，有助于wsn的学习(Matlab wireless sensor network and the combination used for simulation, the study will help wsn)
- 2011-09-16 11:02:43下载
- 积分：1
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newfly
说明： Design of flyback converter
- 2020-06-17 04:20:02下载
- 积分：1
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aa
说明： 双馈风力发电机是一个复杂的多变量非线性系统，利用Matlab软件中的S函数编程建立双馈风力发电机模型，并通过仿真验证了其正确性。(Wind Generator is a complex multi-variable nonlinear system, Matlab, S-function software programming model for the establishment of double-fed wind generator, and simulation results show its validity.)
- 2010-05-17 17:56:03下载
- 积分：1
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motor_eff
用于绘制电动汽车电动机的实际效率，MATLAB m文件(Used to draw the actual efficiency of electric vehicle motors, MATLAB m file)
- 2013-10-01 12:06:50下载
- 积分：1
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fit_ML_log_normal
fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!.
Given the samples of a laplace distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = 1/(2*b)*exp(-abs(x-u)/b)
with parameters: u,b
format: result = fit_ML_laplace( x,hAx )
input: x - vector, samples with laplace 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
u,b - fitted parameters
CRB_b - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type - ML
- 2011-02-09 19:07:30下载
- 积分：1
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adaptive_filtering
A demo algorithm regarding adaptive filtering.
- 2011-05-23 16:20:35下载
- 积分：1
