The most important signal parameters will be defined, like mean value, variance, energy, power, RMS value, signal-to-noise ratio (SNR), and signal(s) correlation function. We will continue doing experiments with signals in Matlab/Octave environment....
Generate pulse waveforms and other signals for Agilent X-Series signal generators using MATLAB and Instrument Control Toolbox.Agilent M8190A: Using IQTools and MATLAB 5:06 Video length is 5:06 Agilent M8190A: Using IQTools and MATLAB Generate waveforms and perform amplitude correction for Agil...
digital communica...discrete signalsnrzsignal processingunipolarunipolar nrz Cancel FEATURED DISCUSSION R2025a Pre-release highlights This topic is for discussing highlights to the current R2025a Pre-release. Walter RobersoninGeneral 11 4 View Post ...
Defining input types programmatically by using preconditioning withassertstatements Their use withcoder.varsize, when generating code by using thecodegencommand, thefiaccel(Fixed-Point Designer)command, or theMATLAB Coder™app Their use as Simulink®signals, parameters, or data store memory For code ...
For more information about working with the Image Classifier block, see Classify ECG Signals in Simulink Using Deep Learning (Deep Learning Toolbox). Stateful Classify (Deep Learning Toolbox) block — Predicts class labels for the data at the input by using the trained recurrent neural netw...
Matlab Coding 1% MATLAB scriptforIllustrative Problem8.2.2echo on3clear;4K=10;N=2*K;T=100;5a=rand(1,36);6a=sign(a-0.5);7b=reshape(a,9,4); 8%Generate the 16QAM points9XXX=2*b(:,1)+b(:,2)+j*(2*b(:,3)+b(:,4));10XX=XXX';11X=[0XX0conj(XX(9:-1:1))];12xt=zero...
Do Not Pass Cell Arrays into or out ofMATLAB FunctionBlocks Simulink®does not support cell arrays as input to or output from aMATLAB FunctionBlock. Therefore, you also cannot use cell arrays for Simulink signals, parameters, or data store memory in aMATLAB FunctionBlock....
Relationship with surface macroelectrode signals and seizure onset zone We showed that it is possible not to see any ripples on the LME, while successive ripples are present in the overlying surface macroelectrode. We suggest that surface ripples may reflect the summed activity of multiple cortical...
Denoise EEG Signals Using Differentiable Signal Processing Layers Remove EOG noise from EEG signals using deep learning regression. Waveform Segmentation Using Deep Learning Segment human electrocardiogram signals using time-frequency analysis and deep learning. ...
Qoherent engineers used the MATLAB®Spectrum Sensing with Deep Learning to Identify 5G and LTE Signalsexample to study the tooling interoperability challenges. With5G Toolbox™,LTE Toolbox™, andDeep Learning Toolbox™, they were able to quickly compare and validate the ...