Honey

Last seen: 2일 전 | 2023년부터 활동

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Hi can anyone help me I want to calculate the FWHM of the contour plot to find the focal beam spot but my result is different.The one I drew with black is where its should be.
% Load your data load("scan_2D_rms.mat"); % Extract relevant data x_axis = saveRMSResult.xAxis; y_axis = saveRMSResult.yAxis...

3개월 전 | 답변 수: 2 | 0

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Hi I have a query I removed the harmonic to preserve the fundamental but still fundamental at 1MHz is also filtered can anyone tell m e.
% Load the frequency domain data folder = 'C:\Users\haneu\OneDrive\바탕 화면\date\New folder (2)'; filename = '270mvp.csv'; data ...

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I enabled fft function in oscillioscope and it saved the data as FFT amplitude (dBV) and frequency domain how ever I want my time domain and ampltude signals original data.
%% folder = 'C:\Users\haneu\OneDrive\바탕 화면\New folder (2)'; filename = '550mvp.csv'; data = readtable(fullfile(folder,filenam...

5개월 전 | 답변 수: 1 | 0

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Hi I have Csv file for voltage and time data and I would like to compute spectrogram to to compute harmonics at different frequencies but my spectrogram looks so much noisy or
%% folder = 'C:\Users\Min\Desktop\New folder (3)'; filename = '27o2.csv'; data = readtable(fullfile(folder, filename)); t ...

5개월 전 | 답변 수: 2 | 0

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Hi I would like to plot 2D beam plot from the Ultrasound data. I want to make it like the reference image I am uploading my code along with data I would appreaciate kind help.
% Given data x_values = [-5 -4 -3 -2 -1 0 1 2 3 4 5]; y_values = [-5 -4 -3 -2 -1 0 1 2 3 4 5]; intensity_x = [0.354894 0.2647...

9개월 전 | 답변 수: 1 | 0

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Hello I have problems detecting the edges of carotid artery in the image .Please help
%Carotid Artery Segmentation and Interpolation %Read an image fullname = get_full_filemane(C:\Users\Min\Desktop\Clinical data\...

1년 초과 전 | 답변 수: 1 | 0

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Hello Matlab specialist . I am seeking help I want to do Carotid artery segmentation and use fit ellipse to identify the edges but eliipse wont fit! please help
%Carotid Artery Segmentation and Interpolation %Read an image I = imread('Image_1.tif'); %Convert the image into grayscale an...

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