MATLAB: Finding minimum values of individual double arrays in a cell array

arrays

The following is in the cell array [9,10,11,12,13,14,15,16]; [13,14,15,16,17,18,19,20,21]

ie. [9,10,11,12,13,14,15,16] which is double is the first element of the cell array and [13,14,15,16,17,18,19,20,21] in the second element of the cell array

I am looking for a function where i can get the minimum value of the individual array. I know how to do it via for loops. I am looking for a better solution

Best Answer

k = {[9,10,11,12,13,14,15,16]; [13,14,15,16,17,18,19,20,21]} ;
r = cellfun(@min,k)

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MATLAB: How to do the following in a simpler and smarter way

C=repmat(1:21,12,1)
C=C(:)'

%or

C=1:21;
C=reshape(C(ones(12,1),:),1,[])

MATLAB: FFT code on time series

hi Sam,

in case you have verified the properties of the signal in the above comment,we can proceed as the following :

We have a signal of length L=3950 taken every 12 hours for 2563.5 days. So formally the sampling rate is Fs= 3950/2563 =~1.54 Hz .

For these types of times series , the range is dynamically changing therefore we plot the frequency in dB to expand the low values and compress the high ones :

1)Solution 1:

Fs=1.55; %  
L=length(Thermocline);
N=ceil(log2(L));
FFTherm=fft(Thermocline,2^N);
f=(Fs/2^N)*(0:2^(N-1)-1);
Power=FFTherm.*conj(FFTherm);
figure,
semilogy(f,Power(1:2^(N-1)))
xlabel('  Frequency (Hz)'), ylabel(' Magnitude (w)'),
title('  Power Spectral Density'), grid on;

2) Solution : 2

 % Directly you type in the C.P :
  psd(Thermocline)

So the frequency is in the range [0,...,0.1] Hz. To see if this result, physically, makes sens, try to check :

"Stochastic climate models, Part I1, Application to sea-surface temperature anomalies and thermocline variability" by CLAUDE FRA NKIG NOUL :

And another paper: "MEAN AND EDDY DYNAMICS OF THE MAIN THERMOCLINE" by GEOFFREY K. VALLIS

http://www.princeton.edu/~gkv/papers/thermocline.pdf

These two papers give a general idea on how much an estimate of the frequency must be .

I hope this helps .

KHMOU Youssef.

Best Answer

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MATLAB: How to do the following in a simpler and smarter way

MATLAB: FFT code on time series

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