---

merhaba arkadaşlar birkaç sorum varda bu sorulara yardımcı olursanız çok sevinirimde cevaplarını yapıp gönderene puanda yollayabilirim teşekkürler çook acil gereklide...

gerekli olan EEG.m dosyası:
http://www.speedyshare.com/142888818.html

1) Objective: Study periodogram for the classification of the EEG signals.
Unit of the method with the SNR.

• Generate 30 without signs of each type noise, 10 seconds long.
Building 4 arrays with those signals, each with 30 rows
for the 30 signals generated.

• Design a program to calculate the estimates of the spectral density for a
input signal. You should receive as parameters to process signals in
form of a matrix of rows. You must return a sequence that is
correspond to the value of the maximum frequency of the module
Fourier transform of each of the signals analyzed. Representing
the maximum value of the power spectral density, as well as the
frequency at which the maximum in each signal.

• Generate other sets with soft noise with different values
standard deviation, and see what happens to vary the amount of noise.

2) Objective: Calculating the coefficients of linear prediction for the study of spectral
power. Classification with the AR model. Comparison with previous results.

• Repeat the above paragraph, but using the estimates of density
spectral for an input signal through an AR model with N
coefficients. You must calculate the sequence that matches the value of the
frequency response calculated for each signal, using a model
parametric spectral estimation. Representing the frequency at which
produces the maximum in each segment.

• Implement the program to the signals generated in the previous case. Studying
the value of the number of coefficients of linear prediction (N).

3) Objective: Study of misclassification obtained when using each of the securities.
From the data obtained in the two preceding paragraphs (the maximum value of the
DEP with periodogram, the highest frequency of the DEP with periodogram, and
frequency of up to the DEP with the estimate parametric), you want to apply the
theory of classification, and estimate the average error committed.

• Making use of the 4 sets generated previously, Design a
program, using the maximum value of the DEP obtained with the
periodogram, decide among the possible classes. Check the average number
of times the program correctly classified using this measure.

• Same as above, using the sheer frequency of
up to the DEP obtained with the periodogram

• Same as above, using the sheer frequency of
up to the DEP obtained with the parametric estimate

• Same as above, but using the three values
Estimated at once Assume the diagonal covariance matrix.

---

---

arkadaşlar sorunumu kısaca açıklamak gerekirse matlabı yeni öğreniyorum ve su anda erasmusla ispanyadayım ve biyomedkal dersinde böyle bir ödev verdiler ve hiçbir fikrim yok. hertürlü yardıma açığım şimdiden teşekkürler. bu arada ders ve sorular ispanyolcaydı ben çevirip buraya koydum.

---

Başa dön