arunnagiri murrugesan

Last seen: 1 year 前 | 自 2018 起处于活动状态

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统计学

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b=abs([b;a(i)-a(i+1)]); error
a=all_peak(:,1); b=[ ]; for i= 1:27 b=abs([b;a(i)-a(i+1)]); % getting error here as % end win_len=mean(b)+25; wher...

5 years 前 | 1 个回答 | 0

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code to read the data in matfile
let us take dat is matfile = 1684 *1 . i want to read first 100 values of the 1684 points . what is the function or code to use...

5 years 前 | 1 个回答 | 0

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Undefined function 'read' for input arguments of type 'double'.
dat1=read(dat(100,1)); where dat = 1684 *1 double

5 years 前 | 1 个回答 | 0

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Operands to the || and && operators must be convertible to logical scalar values.
cl=input('Enter class ( up-1 or down-2 or blink-3): '); if cl==1 [k,~]=find((all_peak(:,2)>0)&&((all_peak(:,2)<p1_peak(:,2...

5 years 前 | 1 个回答 | 0

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Threshold based EOG signal classification
need to classify three classes up ,down, blink signals of EOG signals by thresholding . up, blink signals have same morphology....

5 years 前 | 0 个回答 | 0

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how to use genetic algorithm for EEG channel selection of motor imagery signal?
usage of genetic algorithm for selection of EEG channels such that it helps in identification of motor imagery EEG signal channe...

6 years 前 | 0 个回答 | 0

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is there any code for video summary ? selection key frame ?
inorder to get a key frame from group of frames of video.

6 years 前 | 0 个回答 | 0

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what are different types of image augmentation ?
different types of image augmentation other than rotation , translation.

6 years 前 | 0 个回答 | 0

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what is the difference between normal image and augmented image data as input to convolutional neural network ?? why augmented image is showing more accuracy ??
what are the different types of augmentation of image ?

6 years 前 | 1 个回答 | 0

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dot indexing is not supported for this variable .
for i = 1:40 test = eeg_c(i,:,1); y = test.y(1:1000,1); % error occuring in this line how to rectify it ? ...

6 years 前 | 1 个回答 | 0

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can you help me with independent component analaysis code for denoising EEG signal( artefact removal) ??
can you help me to get matlab code fo ICA based denoising of signal processing (artefact removal of EEG) signal.?

6 years 前 | 0 个回答 | 0

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can you tell me a matlab code for automatic trial rejection of artifact EEG signal using ICA algorithm ?
tomatic artifact

6 years 前 | 0 个回答 | 0

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transfer learning layers in alexnet and googlenet ?
how many layers are there in googlenet and alexnet transfer learning in deep learning ? what is the difference between alexnet a...

6 years 前 | 1 个回答 | 0

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x_train(1152*3*140) is dataset having sample points,3 channels , 140 trials of eeg data of two class(left and right hand classification). y_train(140*1) consists of 1s ,2s of left &right hand 140 trials .
how to separate 1152*1* no of trials where 1,2,3 corresponds to c3,cz,c4 respectively ??

6 years 前 | 0 个回答 | 0

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i have a data of 1152*3*140 trials(where 1152 is no of sample points , 3 is no of channels ,140 is no of trials) of two classes of elements , i need to separate each class indivdually for particular trials of each channel ? like 1152*1*no of trials
please provide code for separating each class.

6 years 前 | 1 个回答 | 0

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how to save spectrogram of signal as image ? i have given my code.
x=train_data(91,:,1); N = 1000; fs=250; t=(1:N)/fs; Fn=fs/2; Wp = [8 30]/Fn; % Pass...

6 years 前 | 1 个回答 | 0

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how to save spectrogram of signal as image ?
how to save spectrogram of signal as pixel or image ?

6 years 前 | 1 个回答 | 0

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i have a problem in this code of band passing a EEG SIGNAL 8-30 hz ? can you find the error ? give a solution to this ? i have used butterworth filter ? is it a IIR FILTER OR FIR FILTER ? in the below code sampling freq =250 ,x is dataset.
x=train_data('1,:,1'); Fs=250; Ts=1/Fs; % z_1=m*Ts; % z_2=ceil(m*Ts); t=0:Ts:3.999; t=t'; Fn=Fs/2; ...

6 years 前 | 0 个回答 | 0

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how to find spectrogram of EEG motor imagery signal which is bandpassed between 8-30 HZ with sampling frequency.250.s can you give a code to find spectrogram of EEG ?
x=train_data('1,:,1'); Fs=250;

6 years 前 | 0 个回答 | 0

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i have to find periodogram of my EEG bandpassed motor imagery signal in 8, 30 hz signal. since i am new to this concept, please help me to get power density where my signal is from dataset and my sampling frequency is 250 HZ. ?
x=train_data('1,:,1'); Fs=250;

6 years 前 | 1 个回答 | 0

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deep learning which best suits EEG data classification is ?
EEG MOTOR IMAGERY signal classification is well excuted by which deep learning approach ?

6 years 前 | 0 个回答 | 0

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can CNN used in signal (EEG Signal) which is represented in matrix form ??
is it feasible to apply CNN in signal processing ?

6 years 前 | 1 个回答 | 0

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