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AAM
Facial Feature Extraction matlab code
- 2010-10-03 21:30:28下载
- 积分:1
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0001
粗糙集数据初处理。。。。将连续数据离散化
- 2010-11-24 08:56:12下载
- 积分:1
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ULAbeampattern
三维线阵波束图 水声工程专业必看!!!!!!!!!!初学波束形成的同学肯定用得着(ULA beampattern )
- 2012-06-09 21:10:20下载
- 积分:1
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93317479Rotating-Robot-in-3D
rotating robot in 3d
- 2011-12-15 12:22:48下载
- 积分:1
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genetic-algorithm-in-matlab
用matlab 实现 遗传算法 本文已顺利发表 有一定学术价值(genetic algorithm)
- 2013-05-06 09:35:47下载
- 积分:1
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power_transfo3ph
power_transfo3ph,功率电子领域matlab仿真文件,已经验证过,程序运行正常(
power_transfo3ph,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
- 2013-08-26 21:58:58下载
- 积分:1
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LSL_xingqian
最小二乘格型滤波器LSL
1、LSL算法实现线性预测 ;
2、考察LSL算法的收敛性;
3、与LMS、RLS算法进行性能比较。(LSL LMS RLS)
- 2014-04-29 11:03:01下载
- 积分:1
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fit_maxwell_pdf
fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution.
given the samples of the histogram of the samples, finds the
distribution parameter that fits the histogram samples.
fits data to the probability of the form:
p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a))
with parameter: a
format: result = fit_maxwell_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
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
a - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution
- 2011-02-09 19:02:55下载
- 积分:1
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vc_kalman
kalman,vc++-------------(kalman, vc++-------------)
- 2010-02-01 19:33:09下载
- 积分:1
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1
说明: 观察高斯序列 的时域和幅频特性。
①固定p=8,q分别等于2、4、8,观察它们的时域和幅频特性,了解当q取不同值时,对信号序列的时域和幅频特性的影响
②固定q=8,p分别等于8、13、14,观察p变化对信号序列时域和幅频特性的影响,注意p等于多少时,会发生明显的泄露现象,混叠是否也随之出现?记录实验中观察到得现象,绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)
- 2009-12-05 15:56:32下载
- 积分:1