I have an Excel file for recoded EEG for $2$ minutes with the subject$$s eyes closed, followed by $2$minute with the eyes open. Repeat this cycle $5$ times.

I want a matlab code to load the data and filter it with bandpass filter then:

$-$PSDAnalysis: Generate PSD plots for each condition $($eyes open vs$.$ eyes closed$)$ using various overlap percentages in the windowing process $(0\%,50\%,$ and $75\%).$ Analyze the effects of overlap settings on the PSD plot clarity and variance.

$-$Time$-$Frequency Analysis: Produce spectrograms to examine how power distributions change over time across different frequency bands.

$-$Feature Extraction: Extract key features from the EEG data such as Mean Frequency, Spectral Entropy, Peak Frequency, Band Power in specific EEG bands $($Alpha$,$ Beta, Theta$).$

$-$Classification: Classify EEG data into eye$-$open and eye$-$closed states using a simple classifier like Logistic Regression or SVM$.$ Implement cross$-$validation to assess classifier performance and discuss the effectiveness of the features.