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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.
casi 8 años hace | 1 respuesta | 0
1
respuestaPregunta
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...
alrededor de 8 años hace | 0 respuestas | 0
0
respuestashow 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
alrededor de 8 años hace | 0
Pregunta
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...
alrededor de 8 años hace | 1 respuesta | 0
1
respuestaPregunta
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>>
alrededor de 8 años hace | 1 respuesta | 0
1
respuestaPregunta
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'); ...
más de 8 años hace | 0 respuestas | 0
