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Description: The OMNI Naming Service (omniNames) is an omniORB implementation of the
OMG’s COS Naming Service Specification. It offers a way for a client to turn
a human-readable name into an object reference, on which the client can subsequently
invoke operations in the normal way. See the OMG specification for full
details of the functionality provided by the Naming Service.-The OMNI Naming Service (omniNames) is an o mniORB implementation of the OMG's COS Naming S ervice Specification. It offers a way for a clie nt to turn a human-readable name into an object r eference. on which the client can subsequently invoke ope rations in the normal way. See the OMG specifica tion for full details of the functionality 577 ided by the Naming Service.
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Size: 73564 |
Author: 周紫 |
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Description: The OMNI Naming Service (omniNames) is an omniORB implementation of the
OMG’s COS Naming Service Specification. It offers a way for a client to turn
a human-readable name into an object reference, on which the client can subsequently
invoke operations in the normal way. See the OMG specification for full
details of the functionality provided by the Naming Service.-The OMNI Naming Service (omniNames) is an o mniORB implementation of the OMG's COS Naming S ervice Specification. It offers a way for a clie nt to turn a human-readable name into an object r eference. on which the client can subsequently invoke ope rations in the normal way. See the OMG specifica tion for full details of the functionality 577 ided by the Naming Service.
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Size: 73728 |
Author: 周紫 |
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Description: OFDM程序，这么安排矩阵的目的是为了构造共轭对称矩阵
共轭对称矩阵的特点是 在ifft/fft的矢量上 N点的矢量
在0，N/2点必须是实数 一般选为0
1至N/2点 与 （N/2）+1至N-1点关于N/2共轭对称- BPSK simulation using a carrier cosine wave with ISI
clc
close all
clear all
figure(1)
n=160
for i=1:n
data(i)= 2*round(rand)-1
end
create modulated BPSK signal
first expand the bit stream
exdata=[]
for i=1:length(data)
for rep=1:5
exdata= [exdata data(i)]
end
end
ts=.1
t=1:ts:80.9
carrier=cos(pi*t)
multiply expanded bitstream by cosine wave with carrier frequency
this is the BPSK that is to be transmitted over the channel
bpsk=carrier.*exdata
bpsk=[bpsk(length(bpsk)-1) bpsk(length(bpsk)) bpsk]
plot(bpsk)
generating the noise
p=rand(1,800)*2*pi
p=rand*2*pi
snr=10
r=sqrt(-1*(1/snr*log(1- rand)))
no = 5*(r.* exp(j*p))
no = (r.* exp(j*p))
value of alpha
al=rand+j*rand
al=1
Spreading channel with the alpha as the variable
for k=5:5:795
for l = 1:5
al=round(rand)+j*round(rand)
rec(k+l)=bpsk(k+l)+al*bpsk(k-5+l)
end
end
rxdata=rec+ no
begin demodulation
first multiply recie
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Size: 6146048 |
Author: 卞敏捷 |
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Description: 啁啾cos周期光纤光栅
Cos-period fiber grating chirp
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Size: 1024 |
Author: wuminghua |
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Description: function [] = circleagain(a,b,c,r)
pixel = 0.1
theta1 = 0
theta2 = 360*pi/180
pix = pixel/r
theta = theta1:pix:theta2
global x y z
x = a + r*cos(theta)
y = b + r*sin(theta)
z = ones(1,length(x))*c
x=round(x*10)/10
y=round(y*10)/10
z=round(z*10)/10
plot3(x,y,z, c )
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Size: 378880 |
Author: boom |
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Description: 文件1：复数的表达与计算；文件2：用matlab计算∛ (-8)，并用图形表示；文件3：用符号计算研究方程sin(3)uz^2+vz+3w-a5=0的解；文件4：求阿基米德螺线r=a*θ,(a>0)在θ=0到φ间的曲线长度函数，并求a=1,φ=2п间的曲线长度；文件五：著名的Givens旋转G=[■(cos t&-sin t@sin t&cos t)]对矩阵A=[■(√3/2&1/2@1/2&√3/2)]的旋转作用。-five programs about matlab
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Size: 2048 |
Author: 潘登 |
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Description: 衰落信道仿真
function r = rayleigh( fd, fs, Ns )
r = rayleigh(fd,fs,N)
A Rayleigh fading simulator based on Clarke s Model
Creates a Rayleigh random process with PSD determined
by the vehicle s speed.
INPUTS:
fd = doppler frequency
set fd = v*cos(theta)/lambda
v = velocity (meters per second)
lambda = carrier wavelength (meters)
theta = angle w/ respect to tangent (radians).
fs = sample frequency (Samples per second)
Ns = number of samples of the Rayleigh fading
process to produce
OUTPUTS:
r = row vector containing Ns samples of the Rayleigh
fading process
Author: Matthew C. Valenti
Mobile and Portable Radio Research Group
Virginia Tech
For Academic Use Only-Fading channel simulation
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Size: 3072 |
Author: zhouyi |
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Description: function circle(cx, cy, r, linetype)
N = 150
x = zeros(1,N+1)
y = zeros(1,N+1)
for n=1:N+1
x(n) = cx + r*cos(2*pi*n/N)
y(n) = cy + r*sin(2*pi*n/N)
end
hold on plot(x, y, linetype) hold off
-function circle(cx, cy, r, linetype)
N = 150
x = zeros(1,N+1)
y = zeros(1,N+1)
for n=1:N+1
x(n) = cx + r*cos(2*pi*n/N)
y(n) = cy + r*sin(2*pi*n/N)
end
hold on plot(x, y, linetype) hold off
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Size: 1024 |
Author: tristancohn |
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Description: This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model.
A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation.
\alpha_n = \frac{\pi(n-0.5)}{2M} and \beta_n = \frac{\pi n}{M},
results in the following model, usually termed the Dent model or the modified Jakes model:
R(t,k) = \sqrt{\frac{2}{M}} \sum_{n=1}^{M} A_k(n)\left( \cos{\beta_n} + j\sin{\beta_n} \right)\cos{\left(2\pi f_d t \cos{\alpha_n} + \theta_{n}\right)}.
The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases \,\!\theta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.-This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model.
A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation.
\alpha_n = \frac{\pi(n-0.5)}{2M} and \beta_n = \frac{\pi n}{M},
results in the following model, usually termed the Dent model or the modified Jakes model:
R(t,k) = \sqrt{\frac{2}{M}} \sum_{n=1}^{M} A_k(n)\left( \cos{\beta_n} + j\sin{\beta_n} \right)\cos{\left(2\pi f_d t \cos{\alpha_n} + \theta_{n}\right)}.
The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases \,\!\theta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.
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Size: 2048 |
Author: Manzar Hussain |
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Description: optimazion of R=((θ_1*sin(20*θ_2)+ θ_2*sin(20*θ_1))^2)*cosh(θ_1*sin(10*θ_1))+(( θ_1*cos(10*θ_2)- θ_2*sin(10*θ_1))^2)*cosh(θ_2*cos(20*θ_2)))) with powel
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Size: 3072 |
Author: ashkan irannezhad |
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Description: syms y(t)
r 2
V odeToVectorField(diff(y, 2) + 0.5*diff(y, 1) - y^3+y^5 r*cos(t))
M matlabFunction(V, vars , { t , Y })
-syms y(t)
r 2
V odeToVectorField(diff(y, 2)+ 0.5*diff(y, 1)- y^3+y^5 r*cos(t))
M matlabFunction(V, vars , { t , Y })
sol ode45(M,[0 20],[2 0])
x linspace(0,20,100)
y1 d (sol,x,1)
y2 d (sol,x,2)
plot(x,y1, r- ,x,y2, b: )
legend( y1 , y2 )
xlabel( 时间 )
ylabel( y )
grid on
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Size: 17408 |
Author: 黎燕霞 |
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