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gaonan
算法优化非常好,几乎没有循环,可以广泛的应用于数据预测及数据分析,利用最小二乘法进行拟合多元非线性方程。( Algorithm optimization is very good, almost no circulation, Can be widely used in data analysis and forecast data, Multivariate least squares fitting method of nonlinear equations.)
- 2016-05-30 14:39:15下载
- 积分:1
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代码
说明: 探讨无源时差定位情形下,星形,菱形,倒三角形布站方式对于定位精度的影响。主要讨论主站高度,目标高度,目标距离,站间距对于定位精度的影响。(This paper discusses the influence of star, diamond and inverted triangle station layout on location accuracy in passive TDOA location.)
- 2020-07-20 22:45:06下载
- 积分:1
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压缩传感,UWB,L1最小化,接收机,信道
给出了在matlab中实现uwb信号全图生成、传输和恢复的程序
- 2022-09-23 22:00:02下载
- 积分:1
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myditfft
这是一个自己编写的MATLAB函数,是DFT的快速算法,是一种基于2FFT算法(This is a self-written MATLAB function is fast DFT algorithm, a method based on 2FFT)
- 2010-06-28 15:40:13下载
- 积分:1
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daima
基于导频的ofdm系统的LS估计MMSE估计 (Pilot-based OFDM system, the LS estimate of the MMSE estimates)
- 2008-05-07 14:35:00下载
- 积分:1
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xiaoqiuxialo
这是一个用MATLAB编的模拟一个小球的下落过程 ,很不错,希望和大家分享.(This is an addendum to the MATLAB simulation of a small ball on the whereabouts of course, very good, and he hopes to share with you.)
- 2007-05-05 11:08:52下载
- 积分:1
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assignment2_4
We could see the difference between transfer function and state-space discription.
- 2014-11-30 16:58:16下载
- 积分:1
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mud
各种多用户检测算法性能的比较,含神经网络算法,解相关算法等(A variety of multi-user detection algorithm performance as compared with neural network algorithm, decorrelation algorithm)
- 2009-05-24 16:18:26下载
- 积分:1
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FFT
MATLAB 傅里叶分析 快速傅里叶分析 非常正确的资料 值得下载(MATLAB FFT)
- 2013-10-03 20:39:01下载
- 积分:1
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3x3-neighbor-pixel
Description
All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size))
input
inp_img=2d data(row * col)
w=cover size
w=[3 3] = 3x3 cover pixel generation
output
o_img=result 3d
o_img(w(1),w(2),r*col)
if
inp_img=[1 2 3 4 5 6 ]
w=[3 3]
Soloution
it will construct new image
new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0]
result
o_img(:,:,1)=[0 0 0 0 1 2 0 4 5]
o_img(:,:,2)=[0 0 0 1 2 3 4 5 6]
finally
o_img(1:3,1:3,6)
example
a=imread( pears.png )
b=rgb2gray(a)
c=cover_window( b,[3 3]) 3x3 window construction
- 2014-10-24 17:14:14下载
- 积分:1