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Question
how to apply adaptive thresholding segmentation concept in brain tumor detection?.it may be of any type of brain tumor.can anyone help me pls,
am working on brain tumor detection.i would like to try tumor segmentation through adaptive thresholding concept.
presque 8 ans il y a | 1 réponse | 0
1
réponseQuestion
how can i find 20% or 80% of value in the decreasing slope by keeping maximum peak value of y axis as reference?
how can i find 20% or 80% of value in the decreasing slope by keeping maximum peak value of y axis as reference? for the mention...
environ 8 ans il y a | 1 réponse | 0
0
réponsehow to find time at which max amplitude is obtained in general amp vs time signal? and time at which 20% and 80% of signal falls? can anyone help me pls. this is generated signal which text data.so i want help for the below menstioned fig.
plas look through this diag
environ 8 ans il y a | 0
Question
how to find time at which max amplitude is obtained in general amp vs time signal? and time at which 20% and 80% of signal falls? can anyone help me pls. this is generated signal which text data.so i want help for the below menstioned fig.
how to find time at which max amplitude is obtained in general amp vs time signal? and time at which 20% and 80% of signal falls...
environ 8 ans il y a | 1 réponse | 0
1
réponseQuestion
i want to find the final settling time alone,what function should i want to use? i hv already used stepinfo fn but i want settling time alone .can anyone helpme out with this ?
<</matlabcentral/answers/uploaded_files/96894/sig.png>>
environ 8 ans il y a | 1 réponse | 0
1
réponseQuestion
how can i generate a single period rectangular pulse in both negative and positive y axis together and seperate negative y axis rectangular wave
fs=50; t=-1.5:1/fs:1.5; y=2*(rectpuls(t)); subplot(3,1,2) plot(t,y); axis([-1.7 1.7 -2 2]) title('rectangular waveform'); ...
plus de 8 ans il y a | 1 réponse | 0
