Extract sequences from vector
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Dear Forum members,
I have a question I could not find any solution for. I have a vector, let's say
U=[2,2,5,7,3,4,4,4,2,2,2,3].
I also have a sequence, which is
s=[2,2,3].
I now want to find all the indexes in U, where my sequence s could be built from. In my case, that would be
(1,2,5), (9,10,12), (10,11,12), (9,11,12). So the problem is the sequences have to be build first from U and do not exist as in s. I find this quite tough and would be happy if someone had a solution.
I have Matlab 7.13.
Thanks a lot! Peter
2 commentaires
Azzi Abdelmalek
le 27 Fév 2013
Modifié(e) : Azzi Abdelmalek
le 27 Fév 2013
Are you looking for all the sequences?, for example (2,5,7,3)
Peter
le 28 Fév 2013
Réponses (4)
Babak
le 27 Fév 2013
perms
nchoosek
might be helpful in finding combinations of the elements of different size vectors.
1 commentaire
Babak
le 28 Fév 2013
Nice solution. I rather let "codes" be a cell object with option of having empty cells. Then you can support finding zero elements in y and your
k=find(sum(codes==0,2)>0);
line wouldn't fail for length(y)>3.
Saeid Abrari
le 6 Oct 2020
0 votes
for dig=1:16
ndata = length(Frame);
ndata_1=length(digit(dig,:));
n_diff=abs(ndata-ndata_1);
Sound_1=[digit(dig,:)';zeros(n_diff,1)];
sx = sum(Frame.^2);
sy = sum(Sound_1.^2);
maxlag = ndata-1;
cnt = 0;
for lag = -maxlag:maxlag
cnt = cnt + 1;
sxy = 0;
for i=1:ndata
j = i + lag;
if j>0 && j<=ndata
sxy = sxy + Frame(i) * SoundVec_1(j);
end
end
cc(cnt) = sxy / sqrt(sx*sy); % correlation coefficient
ck(cnt) = sxy; % cross-correlation value
lags(cnt) = lag;
end
simil(dig)=max(cc);
[~,i] = max(cc);
Ts=1/Fs;
t1=Ts:Ts:FrameLen*Ts;
norm_ck=cc/max(cc);
lx = (length(norm_ck));
half = ceil(lx/2);
norm_ck_p=norm_ck(1:half);
td = i - ndata;
tau1=lags/Fs;
Saeid Abrari
le 6 Oct 2020
0 votes
for dig=1:12
ndata = length(Frame);
ndata_1=length(digit(dig,:));
n_diff=abs(ndata-ndata_1);
Sound_1=[digit(dig,:)';zeros(n_diff,1)];
sx = sum(Frame.^2);
sy = sum(Sound_1.^2);
maxlag = ndata-1;
cnt = 0;
for lag = -maxlag:maxlag
cnt = cnt + 1;
sxy = 0;
for i=1:ndata
j = i + lag;
if j>0 && j<=ndata
sxy = sxy + Frame(i) * SoundVec_1(j);
end
end
cc(cnt) = sxy / sqrt(sx*sy); % correlation coefficient
ck(cnt) = sxy; % cross-correlation value
lags(cnt) = lag;
end
simil(dig)=max(cc);
[~,i] = max(cc);
Ts=1/Fs;
t1=Ts:Ts:FrameLen*Ts;
norm_ck=cc/max(cc);
lx = (length(norm_ck));
half = ceil(lx/2);
norm_ck_p=norm_ck(1:half);
td = i - ndata;
tau1=lags/Fs;
%Find the maximum corellation index(digit)
if(max(simil)>0.5)
[seqm sequ(s_loc)]=max(simil);
s_loc=s_loc+1;
end
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