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Lagrange_gui
Lagrange插值多项式求线性方程组,数值分析考试用(Lagrange polynomial interpolation of linear equations, numerical analysis examinations)
- 2010-05-20 19:30:43下载
- 积分:1
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A1_2
mathews数值分析书的例题程序,用matlab编写,可以对照课本学习。(mathews numerical analysis book example program using matlab, you can control textbook learning.)
- 2011-10-20 10:15:01下载
- 积分:1
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sparsify_0_4
sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.(sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.)
- 2010-07-19 08:34:30下载
- 积分:1
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mypca
读入一组bmp格式的图像,进行PCA,主成分分析,用于人脸识别系统等(Read a set of bmp format images, the principal component analysis)
- 2010-10-05 16:59:13下载
- 积分:1
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Romberg
用matlab实现Romberg积分,该算法简单易懂,容易初学者掌握(Romberg Integral using matlab,easy to understand)
- 2020-12-16 22:29:13下载
- 积分:1
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Untitledc
应用自适应算法中ETDE与ETDGE算法方法分别求两信号时延值并作对比的Matlab程序(The matlab program of Comparing the ETDE algorithm delay result and ETDGE algorithm delay result
)
- 2012-03-07 20:03:34下载
- 积分:1
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BFGS
MATLAB编程实现拟牛顿法(BFGS),对凸函数进行优化计算(The quasi-Newton method (BFGS) is realized by programming in MATLAB, and the convex function is optimized.)
- 2018-12-29 16:16:21下载
- 积分:1
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statistika
basic statistics of time series
- 2011-01-28 04:36:33下载
- 积分:1
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MatchFilterLFM
高分辨率雷达 距离向压缩算法滤波器设计 三种方法 全面设计(clc
clear all
close all
2013年9月28日
---------------参数----------
Tr=42e-6
fs=9.5e6
K=0.7e11
Nfft=2048
-------------匹配滤波 时域生成--------------
t=(-Tr/2+1/fs:1/fs:Tr/2-1/fs)
w = kaiser(length(t),2.5)
w=w
w = ones(1,length(t))
ht1=w.*exp(-1i*pi*K*t.^2)
ht2=w.*exp(1i*pi*K*t.^2)
hf1=fft(ht1,Nfft)
hf2=fft(ht2,Nfft)
figure
subplot(211)
plot(abs(hf1))
title( 匹配滤波器1 幅频响应 )
subplot(212)
plot(phase(hf1))
title( 匹配滤波器1 相位 )
figure
subplot(211)
plot(abs(hf2))
title( 匹配滤波器2 幅频响应 )
)
- 2013-10-12 22:32:06下载
- 积分:1
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Gilbert-Strang4
gilber strang files Computational Science and Engineering
- 2013-11-10 20:14:02下载
- 积分:1