To install Android x86 on Pc:first download the iso file which is must be convenient with your pc. You can download it from here. After that you need to write it into a usb disk to form a livecd. Then reboot your computer. Go to boots by pressing F12 then select usb disk. You see the install menu will open. I recommend first try it with “Run Android x86 without installation” . Android will open. If it is not open that means that distribution or version is not convenient with your pc. Change the distribution or version and try it again. If it opened and if it works correctly. That means you can install Android x86 on your pc. Reboot your pc again do the same thing(F12 select usb disk). This time install it on your pc. And have a fun with Android. Thanks to google..
Learn to use your Android Like a Pro. Android Ebook for Android Enthusiasts!
Guys, today I will tell about categories in blogger. Unfortunately there is no any category widget in blogger. So we have to create it by ourselves. To do this We have two solutions.
First Solution: We can use labels with Links widget. Let me Explain with an example let’s say We want Matlab,Linux,Apple as our site’s categories. Then we need to add these names as labels to our posts.
Then by clicking the labels in Labels widget we get their URLs. Copy these URLs one by one and add them to Links widget. In that way, we have categories in our blog. Have fun...
Second Solution:We can use laves with HTML/J AVASCRIPT widget. This time we will modify or create our Links widget by ourselves via writing html codes into HTML/JAVASCRIPT widget. The advantage of this solution is creating original categories with your requests..(color,font,size etc.)
I used the second solution in my blog. You can see categories in the sidebar of my site.
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Designer of iwatch is Pavel Simeonov. The smart watch features a full multi-touch 2.5-inch 16:9 curved IPS display.
Take a look below...
x=0;
y=0;
xv=x;
yv=y;
while (abs(x)<10 && abs(y)<10)
d=randi(4);
switch d
case 1 %N=1
y=y+1;
case 2 %S=2
y=y-1;
case 3 %E=3
x=x+1;
otherwise
x=x-1;
end
xv(end+1)=x;
yv(end+1)=y;
end
figure
axis([-10,10,-10,10])
title(['Random walk tooks ',num2str(length(xv)),' steps']);
hold on
comet(xv,yv);
hold off
figure
n=1;
while n<=12
membrane(n);
shading interp;
title(['Eigenfunction # ', num2str(n)]);
colormap(spring);
pause(1.0);
n=n+1;
end
str2=input('','s');
if strmatch('do the arrangements\n',str2)
disp('Yes Sir')
end
cd 'path'
winopen('path');
fprintf('Welcome to Matlab, Mr. 'name'\nCurrent Directory is rearranged, and the mlbe file is opened.\n');
str1=input('','s');
if strmatch('thanks',str1)
disp('You are Welcome');
clear;
end
clc %clears the command window
clear %clears variables
%Variables:
%Eo wave amplitude (V/m)
%f frequency (Hz)
%omega angular frequency (rad/s)
%t time snapshot
%c speed of light
%z position
%E Electric Field Intensity
%B phase constant (1/m)
%phi phase constant (s)
%phir phase constant (radians)
%lambda wavelength
(m)
%Initial Values of Variables:
f=1000;
phi=0;
c=2.998e8;
lambda=c/f;
t=1;
phir=phi*pi/180;
Eo=1;
B=2*pi/lambda;
omega=2*pi*f;
z=0:4*lambda/100:4*lambda;
E=Eo*cos(omega*t-B*z+phir);
plot(z,E)
axis([0 4*lambda -2*Eo 2*Eo])
grid
xlabel('z(m)')
ylabel('E(V/m)')
pause
t=0:1/(40*f):1/f;
for n=1:40;
E=Eo*cos(omega*t(n)-B*z+phir);
plot(z,E)
axis([0 4*lambda -2*Eo 2*Eo])
grid
title('General Wave Equation');
xlabel('z(m)');
ylabel('E(V/m)');
M(:,1)=getframe;
end
After that I run it from the command window. I give three figures these are in different time to
see properly the wave is travelling.
A digital telephone converts an analog signal(our voice) to a digital signal before transmission. While the analog signal takes on real number values, the digital signal takes on only a finite set of integer
values. We can model these implementation effects and save memory by storing the digital as
an integer data type rather than as type double. We did this by using the script in the
following.
%% ====== Sources ======
% Load sampled (discretized time) analog sources
% with double values between -1 and +1.
load phonecalls
% See and hear both sources together.
% Note source clipping at -1 and +1.
plot(source1,'r')
hold on
plot(source2,'b')
ylabel('DOUBLE Values')
title('{\bf Analog Sources}')
legend('Source 1','Source 2')
soundsc([source1,source2],Fs) % Stereo
pause(4)
%% ====== Source coding (quantization) ======
% Digital signals (discretized values) with scaled
% and quantized int8 values between -128 and 127.
sig1 = int8(128*source1);
sig2 = int8(128*source2);
% See and hear both signals together.
% Clipped values at -1 and +1 in the sources
% saturate in the signals at -128 and 127.
figure
plot(sig1,'r.')
hold on
plot(sig2,'b.')
ylabel('INT8 Values')
title('{\bf Digital Signals}')
legend('Signal 1','Signal 2')
soundsc([double(sig1),double(sig2)],Fs) % Stereo
------
As you see from the script I plotted the analog sources and the digital signals seperately. The
plot are shown in Figures. Any other necessary explanations is in the comments in the
script.
I want to speak about some functions and commands these are we used in the script above.
load: load workspace variables from disk.
soundsc: Scale data and play as sound.
pause: Halt execution temporarily.
int8: Stored integer value of fi object as built-in int8
Analog Sources which is like our voice
Digital Signals represent data in Analog Signals