-
pts
自适应梯形求积法 特别适合被积函数为强峰的定积分 此程序修改余地很大(Adaptive trapezoid quadrature method was particularly suited to the plot function for the strong peaks of the definite integral of a large room for this procedure to amend)
- 2009-05-07 09:56:20下载
- 积分:1
-
StateSpaceProject
说明: 用相空间局部投影法对加噪混沌时间序列去噪或进行混沌序列与正弦信号的分离。(phase space with local law to increase the projector noise chaotic time series denoising or chaotic sequence with sinusoidal signal separation.)
- 2005-10-11 19:03:18下载
- 积分:1
-
NN_REG
This is very simple code for neural network fitting in Matlab and comparing with linear regression.
- 2013-04-24 12:28:35下载
- 积分:1
-
fig_4a_zheng_yiganraojiachuanghou
lfm 脉冲压缩雷达,在一个干扰情况下的,目标探测情况(lfm radar one jaming MATLAB)
- 2015-04-21 09:36:37下载
- 积分:1
-
myfisher1212
the definitive function for the Fisher s exact and conditional test for any RxC matrix
- 2010-11-11 22:07:41下载
- 积分:1
-
fwdradarsystemsnotes
Orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL Internet access, wireless networks,powerline networks, and 4G mobile communications
- 2015-04-06 22:43:00下载
- 积分:1
-
minicurso_biometria
research development biometrics
- 2009-04-06 03:16:55下载
- 积分:1
-
grid
生成网格的MATLAB示例程序;可设置输入参数,网格可改变;(a sample procedure for grid generation)
- 2014-12-17 13:59:46下载
- 积分:1
-
real_noise
Adds noise to processes x1(n) and x2(n), at
SNR=snr, using seeds s1 and s2.(Adds noise to processes x1 (n) and x2 (n), at SNR = snr, using seeds s1 and s2.)
- 2006-11-30 12:43:38下载
- 积分:1
-
pca
这篇文章是盲信号处理,因为是英文文章,所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box. This tutorial focuses on building a solid intuition for how and why principal component
analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the
mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally,
nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers
of all levels will be able to gain a better understanding of PCA as well as the when, the how and
the why of applying this technique.)
- 2011-10-17 09:07:08下载
- 积分:1