MATLAB: Can someone explain to me what is this entire code means

pipelined adc

                                                                                                        ptotdB = dbp(ptot);

in another file:

                                                                                              function y=dbp(x)
y = -Inf*ones(size(x));
nonzero = x~=0;
y(nonzero) = 10*log10(abs(x(nonzero)));

Best Answer

Looks like it's converting any non-zero input to decibels ( http://en.wikipedia.org/wiki/Decibel ), and zero input to negative infinity.

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MATLAB: What does this instruction means

It means sfdr will take on the maximum value contained in the array ptot between element number nper+4 and element number N/2.

If you want a better answer you really have to add more detail to your question.

MATLAB: Evaluate the system impose response function and the FRF with given input and output data

HELLO

had to find another way than using the ID Toolbox (as I don't have it)

so I basically tried to fit an IIR model to the FRF and then you can create the impulse response

data = importdata ('beam_experiment.mat');
x = transpose(data.x); %input
y = transpose(data.y); %output
fs = data.fs;   % sampling frequency
T1 = 20;
NFFT = 2048;
NOVERLAP = 0.75*NFFT;
[Txy,F] = tfestimate(x,y,hanning(NFFT),NOVERLAP,NFFT,fs);
% IIR model
W = linspace(0,pi,length(F));
ind = find(F>5 & F <80); % frequency weighting ; data reliable between 5 and 80 Hz
WT = zeros(size(W));
WT(ind) = 1;
NB = 6;
NA = NB+2;
[B,A] = invfreqz(Txy,W,NB,NA,WT,1e4);
% check bode plots
[H,WW] = freqz(B,A,length(F));
figure(1),
subplot(2,1,1),plot(F,20*log10(abs(Txy)),'b',F,20*log10(abs(H)),'r');grid
subplot(2,1,2),plot(F,180/pi*(angle(Txy)),'b',F,180/pi*(angle(H)),'r');grid
% Impulse response 
[IR,X] = dimpulse(B,A);
samples = length(IR);
time = 1/fs*(1:samples);
figure(2),
plot(time,IR,'r');grid
title('Impulse response')
xlabel('Time (s)');
ylabel('Amplitude')

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MATLAB: What does this instruction means

MATLAB: Evaluate the system impose response function and the FRF with given input and output data

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