-
1CSin_OMP
利用压缩传感技术对1-D信号进行处理,1-D信号压缩传感的实现(Compressed sensing technology using 1-D ,1-D signal processing implementation of compressed sensing signal)
- 2011-01-10 10:49:17下载
- 积分:1
-
UnitRootTest
this function calculate unit root for vector Y by metods:
ADF (Augmented Dickey-Fuller) and PP (Phillips-Perron)
also this function determine max lag for Y aoutomaticaly[Hayashi(2000)]
- 2013-04-24 02:02:14下载
- 积分:1
-
Erlang
根据Erlang B公式进行程序设计:
(1)输入:话务量、信道数;输出:PC
(2)输入:PC、信道数;输出:最大话务量
根据Erlang C公式进行程序设计:
(1)输入:话务量、信道数;输出:PW[延迟>0]
(2)输入:PW[延迟>0]、信道数;输出:最大话务量
(According to Erlang B formula for program design: (1) Input: traffic, number of channels output: PC (2) input: PC, number of channels output: maximum traffic based on Erlang C formula for program design: (1) Input: traffic, number of channels output: PW [Delay> 0] (2) Input: PW [Delay> 0], the number of channels output: maximum traffic)
- 2021-04-14 15:28:55下载
- 积分:1
-
movie
source code matlab for image by using imageprocessing
- 2011-05-08 18:55:07下载
- 积分:1
-
22222222
data reduction with fuzzy rough sets or fuzzy mutual information
- 2011-09-03 21:04:49下载
- 积分:1
-
svpwm3
基于matlab的异步电动机仿真控制,控制方式为svpwm波,输出结果理想。(Based on simulation matlab induction motor control, control of svpwm wave output ideal.)
- 2013-11-25 10:09:55下载
- 积分:1
-
cengheban
matlab 计算层合板 A B D 随铺层角和层数的变化(matlab calculation laminated plates ABD with ply angle and the number of layers)
- 2020-12-19 16:19:09下载
- 积分:1
-
3D_Math_PerlinNoise2D_Ocean
柏林噪声海洋模拟
柏林噪声海洋模拟
柏林噪声海洋模拟
柏林噪声海洋模拟(perlin noise ocean simulation
perlin noise ocean simulation
perlin noise ocean simulation)
- 2014-12-20 18:29:06下载
- 积分:1
-
Brouwer_lxf
人造卫星的轨道求解,用的是Brower的方法所得到的解,包含了主要的地球扰动项(The satellite orbit Solving with the solution obtained by the method of Brower)
- 2013-05-14 17:39:46下载
- 积分:1
-
LMSfilter
假设一个接收到的信号为:x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz,
而信号的幅度和相位未知,n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理,
将信号按10KHz的频率进行采样。
通过对x(t)进行LMS自适应信号处理,从接收信号中滤出有用信号s(t).
在未知信号频率的情况下,通过对x(t)进行LMS自适应信号处理,从接收信号中滤出有用信号s(t).
(Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz,
And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal,
The signal by sampling frequency of 10KHz.
Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).
Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)
- 2009-03-31 18:17:09下载
- 积分:1