How do I plot a constant value over multiple different intervals ?
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doubleArray = getaudiodata(rec);
plot(doubleArray);
title('Audio Signal of "Hello World"');
xlabel('Time t');
ylabel('Signal Amplitude x');
hold on %Getting them on same plot
grid on
Squared_Sig = doubleArray.^2; %Squaring all the vaules in the array
b = reshape(Squared_Sig,[],50); %Divides the square signal into 20msec
%chunks by divideing total samples by
%100, each one has 160 elements
partSum = sum(b); % Sum of each of the 100 parts
Average_power = partSum./160;
Here you can see I have the average power for each of the 100 sections of the original signal. How do I create a CT plot of the average power of these sections on the same plot as the original signal ???
댓글 수: 3
Aaron Richards
2019년 10월 21일
KALYAN ACHARJYA
2019년 10월 21일
The average power (1x50 size) with respect to what?
Aaron Richards
2019년 10월 21일
답변 (1개)
Kaashyap Pappu
2019년 10월 24일
To plot an overlapping line onto the figure, an x-axis vector would need to be specified and provided to the “plot” function along with the data. The vector would need to have the exact x-values where the corresponding data points should be plotted. The linspace function can help generate an evenly spaced vector.
The following modification to code can achieve this:
doubleArray = getaudiodata(rec)
durationOfSignal = length(doubleArray)*0.02/50; %Specified X-Axis vector using the time values
timeValues = linspace(0,durationOfSignal,length(doubleArray));
plot(timeValues,doubleArray);
title('Audio Signal of "Hello World"');
xlabel('Time t in ms');
ylabel('Signal Amplitude x');
hold on %Getting them on same plot
grid on
Squared_Sig = doubleArray.^2; %Squaring all the vaules in the array
b = reshape(Squared_Sig,[],50); %Divides the square signal into 20msec
%chunks by divideing total samples by
%100, each one has 160 elements
partSum = sum(b); % Sum of each of the 100 parts
Average_power = partSum./160;
xVal = linspace(0,durationOfSignal,length(Average_power)); %X-Axis vector for the Average Power sequence
plot(xVal,Average_power)
Hope this helps!
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