Make sure you included your ‘docstring’ comments for each function. Add comments for the following function. Function:
Make sure you included your ‘docstring’ comments for each function. Add comments for the following function. Function:
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Make sure you included your ‘docstring’ comments for each function. Add comments for the following function.
Function:
function binary_signal = signal_to_binary(signal,threshold)
absSig=abs(signal);
sigAvg=filter((1/20)*ones(1,20),1,absSig);
binary_signal=zeros(size(signal));
binary_signal(sigAvg>threshold)=1;
end
![Define a function named signal_to_binary which accepts a column vector of positive and negative float values (representing an unfiltered signal) and a scalar value representing a threshold
value. This function should return a binary signal column vector (O's and 1's) representing the unfiltered signal. Use the following algorithm below to create the binary signal:
1. Create a column vector containing the absolute value of the unfiltered signal.
2. Filter the absolute value from step 1 using a moving average with a window size of 20 to create a column vector of signal averages.
3. Apply > threshold to the averages to return a signal that contains only 1 or 0. The output should be 1 where the signal is above the threshold and O
To compute a moving average, you can use the filter function as follows:
filtered_array = filter(coeff, a, x);
X - the array containing the data you want filtered
a - set it to 1
coeff - array containing the filter coefficients
set this array based on the window size you want to use:
for example: a window size of 4, coeff should contain 4 elements all equal to 1/4
a window size of 8, coeff should contain 8 elements all equal to 1/8](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F39d48593-4bc5-46a1-a9ce-661c683f5af7%2Fd8367a6d-94bb-40dc-a137-22fb063d42ac%2Ft4jpaqo_processed.png&w=3840&q=75)
Transcribed Image Text:Define a function named signal_to_binary which accepts a column vector of positive and negative float values (representing an unfiltered signal) and a scalar value representing a threshold
value. This function should return a binary signal column vector (O's and 1's) representing the unfiltered signal. Use the following algorithm below to create the binary signal:
1. Create a column vector containing the absolute value of the unfiltered signal.
2. Filter the absolute value from step 1 using a moving average with a window size of 20 to create a column vector of signal averages.
3. Apply > threshold to the averages to return a signal that contains only 1 or 0. The output should be 1 where the signal is above the threshold and O
To compute a moving average, you can use the filter function as follows:
filtered_array = filter(coeff, a, x);
X - the array containing the data you want filtered
a - set it to 1
coeff - array containing the filter coefficients
set this array based on the window size you want to use:
for example: a window size of 4, coeff should contain 4 elements all equal to 1/4
a window size of 8, coeff should contain 8 elements all equal to 1/8
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