Table of Contents

10.   Matlab Lecture 10

10.1   Probability Distributions

10.1.1   Common PDFs
10.1.2   Randomly generated PDFs
10.1.3   Fitting normal distributions

10.2   Signal Processing - Digital Image processing

10.2.1   Filters
10.2.2   Smoothing / Blurring
10.2.3   Edge Detection
10.2.4   Sharpening
10.2.5   Filter and Sharpening in more detail
10.2.6   Line detection

10.3   Audio processing

10.3.1   Spectrogram
10.3.2   Filtering

10.3.2.1   Low-pass filter
10.3.2.2   High-pass filter
10.3.2.3   Stop-band filter

10.4   Discrete Cosine Transforms in Image Compression

10.4.1   1-dimensional compression
10.4.2   2-dimensional compression
10.4.3   Discussion
10.4.4   3-rd dimension compression

10.5   Discrete Cosine Transform in Audio Compression

The following files are used throughout the lecture:

easyspec.m   Plot of power spectrum

specgram.m   Spectrogram plot

hanning.m   Hanning Window (used by easyspec.m)

em_1dim.m   Expectation Maximization - Approximation of Gaussian Mixture Models (GMM)

pomegranateSeeds.jpg   Picture of pomegranate seeds

building.jpg   Picture of building

funky.wav   Short funky sound file