Prepare for the CompTIA Network+ exam by learning how to troubleshoot, configure, and manage both wired and wireless networks.
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MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.
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Prepare for the CompTIA Network+ exam by learning how to troubleshoot, configure, and manage both wired and wireless networks.
[maxpeaks, idx] = findpeaks(10*log10(psdx),'MinPeakDistance',195,'NPeaks',4,'MinPeakHeight', -Inf, 'SortStr','descend')
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earFilename = 'EAR_v1.txt';
stateFilename = 'output_close_tags_video_1.txt';
% read EAR values
earfile = fopen(earFilename,'r');
formatSpec = '%d %f %f';
sizeA = [3 Inf];
earVector = fscanf(earfile, formatSpec, sizeA);
earVector = earVector';
% read state file
statefile = fopen(stateFilename,'r');
formatSpec = '%d %*s';
sizeA = [1 Inf];
stateVector = fscanf(statefile, formatSpec,sizeA);
stateVector = stateVector';
% create a dataset containing framenumber, EAR, state
dataset = [earVector, -1*ones(size(earVector,1),1)];
% for each positive state, +-6 frame are marked as positive
data=[];
for i = stateVector'
rowNumber = find(dataset==i);
for j = -6:6
data=(rowNumber+j);
disp(data)
384
Solutions
456
Contributors
MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.
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