Getting error inMatlab 2008 but code is fine in Matlab 2011

Question

moonman 2011-10-27

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/19627-getting-error-inmatlab-2008-but-code-is-fine-in-matlab-2011

采纳的回答： Fangjun Jiang

在 MATLAB Online 中打开

Hi i have written a code which is working fine with me in Matlab 2011

when i send same code tomy frd who is using Matlab 2008,he is gettiing the error on this line no 34

[~, start_sample] = find_voice_activity(noisy_voice , starting_point);

error is

EDU>> dtmfmain(y,fs) ??? Error: File: dtmfmain.m Line: 34 Column: 3 Expression or statement is incorrect--possibly unbalanced (, {, or [.

How can i help him kindly tell me the changes which are required in this line to make it compatible with Matlab 2008

Thanks a lot

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Fangjun Jiang 2011-10-27

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/19627-getting-error-inmatlab-2008-but-code-is-fine-in-matlab-2011#answer_25954

The use of ~ notation is only available in R2009b or later. You can replace ~ with a unwanted variable name such as temp, trash, dummy,...

http://blogs.mathworks.com/loren/2009/09/11/matlab-release-2009b-best-new-feature-or/

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

Answer 2

moonman 2011-10-27

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/19627-getting-error-inmatlab-2008-but-code-is-fine-in-matlab-2011#answer_25955

在 MATLAB Online 中打开

Ok this code i got from net

i have pasted it. Can u kindly tell me what should i write instead of ~. Thanks a lot

if nargin < 2
    Fs = 8000;
end
starting_point = 1;
voice_detected = [];
noisy_voice = dtmftones;
%%Audio Pre-processing
% Fifteen thousand samples containing 0 are added to the actual data so as to
% make sure that algorithm below can easily dissect the tone at the end.
noisy_voice = [noisy_voice;zeros(15000,1)];
% In order to reduce noise in presumably 'silent zone', we replace all the
% magnitutudes less or equal to 0.21 in noisy data to 0, so that our
% algorithm can clearly see different tone presses.
ind = find(abs(noisy_voice) <= 0.1);
for a = 1:length(ind)
    noisy_voice(ind(a)) = 0;
end
% First 500 samples are replaced with zeros in order to eliminate the
% effects of high amplitudes in initial samples (When microphone
% initializes, it gives some undesired output initially, and that is
% neutralized.)
noisy_voice = [zeros(500,1);noisy_voice(500:length(noisy_voice)-1)];
% Audio is trimmed from start till first valid speech sample is detected,
% and then audio stream is reveresed and trimmed again, which provides last
% valid speech sample. This is done because otherwise in the last part of
% audio, if there is only noise, it may also be treated as speech.
[~, start_sample] = find_voice_activity(noisy_voice , starting_point);
start_of_speech = start_sample;
[~, start_sample] = find_voice_activity(flipud(noisy_voice) , starting_point);
end_of_speech = start_sample;