faster "log10" command
Ältere Kommentare anzeigen
Hi all, Is anyone know how to use the "log10" more wisely? currently, I convert from dB to decimal using log10 but it seems to slow down the execution process. Any help would be appreciated!
Ta
[EDITED, 09-12-2011 08:13 UTC, Jan Simon] Code copied from Answer section:
Sorry guys for the late reply, and thanks for the comment. Anyway, my code look like this:
for trial = 1:1000
for a = 1:N
for b=1:N
interfere(b,a) = dBtodec(Pr) * power(dstsr(b,a), -(dBtodec(gamma))))) * ...
Li(b) * Ri(b);
end
%
sinrSUr(a) = dBtodec(Pr) * power(ds(a), -(dBtodec(gamma))))) * ...
LSUr(a) * RSUr(a)) / (dBtodec(No) + sum(interfere(:,a)));
snr(a) = (dBtodec(Pr)*(power(ds(a), (-(dBtodec(gamma))))) * ...
LSUr(a) * RSUr(a)) / (dBtodec(No));
end
end
where dBtodec is a function which is:
function [decimal] = dBtodec(x)
%converting dB to decimal
decimal = 10*log10(x);
end
hope that make sense
6 Kommentare
Jan
am 8 Dez. 2011
If you post the relevant part of the code, we could look for other problems.
Jan
am 9 Dez. 2011
Parenthesis can help to make the code easier to read, e.g. when mixing logical expressions. But "-dBtodec(gamma)" is nicer than "(-(dBtodec(gamma)))".
Jan
am 9 Dez. 2011
Fangjun has commented the code:
Daniel and Jan are right. You probably don't have pre-allocation. Put the following prior to your for-loops.
interfere=zeros(N);
sinrSUr=zeros(N,1);
snr=zeros(N,1);
Parenthesis imbalance in:
interfere(b,a) = dBtodec(Pr)*power(dstsr(b,a),-(dBtodec(gamma)))))*Li(b)*Ri(b) is not valid.
log() is for Natural logarithm. You need to use log10().
OMG! Your dBtodec() calculation is also wrong!
Jan
am 9 Dez. 2011
There is no log10 in the posted code?!
Please fix the problems Fangjun has shown. Replace the posted code by the cleaned version by editing the original question.
Ricky
am 11 Dez. 2011
Jan
am 12 Dez. 2011
@Rak: You can simply edit your question to fix this.
Akzeptierte Antwort
Weitere Antworten (4)
Daniel Shub
am 8 Dez. 2011
I am guessing you are not preallocating ...
Does you code look something like:
x = randn(1e7,1);
for ii = 1:length(x)
y(ii) = log10(x(ii));
end
You could replace it with
y = log10(x);
4 Kommentare
Jan
am 8 Dez. 2011
I agree and this is exactly the point, why I asked Rak for posting the code.
Daniel Shub
am 8 Dez. 2011
I think my favorite answers are when we have to guess what the question is: sometimes we get it right and sometimes we miss. Asking for more information not only can improve our accuracy it also gives a hint as to how much the OP cares. That said sometimes I like to ask for more info and sometimes I like to guess.
Jan
am 8 Dez. 2011
Then I guess, that we will get a speedup of >55% if we apply our experiences on Rak's code. But even then this will *not* be an advantage: Currently Rak has waited 16 hours for the answer! It will be hard to recover this delay even with the fastest code...
Jan
am 9 Dez. 2011
Damn English. Sometimes I'm too confused. While "I guess" is nonsense here, I meant "I bet". And if I had written this, I'd won. What a pitty.
Daniel Shub
am 9 Dez. 2011
You may want to look at
doc db2mag
doc mag2db
doc pow2db
doc db2pow
they are not going to speed up your code, but they do the transformations in the correct direction and use the correct log base and scale factors ...
1 Kommentar
Jan
am 9 Dez. 2011
See: http://en.wikipedia.org/wiki/Anti-pattern , Do not re-invent the square wheel. +1
Sean de Wolski
am 8 Dez. 2011
On my system:
A = magic(10000); %Don't do this!
tic,log10(A);toc
Elapsed time is 1.388229 seconds.
1.39 seconds to calculate the log10 of 10000^2 elements seems pretty good, so you probably have something else slowing you down. How much memory are you using?
b = whos;
sum(b(:).bytes)
If you're using more memory than you have RAM available that's quite possibly your issue.
Ricky
am 11 Dez. 2011
0 Stimmen
2 Kommentare
Ricky
am 12 Dez. 2011
Daniel Shub
am 12 Dez. 2011
the best way to thank people is to accept the best answer and vote for the other answers that helped you. This lets future people with similar questions and problems learn what you learned.
Kategorien
Mehr zu Exponents and Logarithms finden Sie in Hilfe-Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!