LECTURE NOTES ON BIOMEDICAL SIGNALAND IMAGE PROCESSING

Lecture 1. Signals and mathematical models

Lecture 2 Digital representation of signals

Lecture 3 Signal discretization by sampling

Lecture 4 Element-wise quantization

Lecture 5 Principles of signal and image coding

Lecture 6 Signal transformations and their discrete representation. Digital filters

Lecture 7 Discrete representations of Fourier Transform

Lecture 8 Applications of DFT and SDFTs

Lecture 9 Principles of signal parameter estimation

Lecture 10 Signal reconstruction and enhancement: linear filters

Lecture 11Signal/image restoration: nonlinear filters

Lecture 12 Correlational averaging as a method for signal restoration

Lecture 13 Ultrasound image processing for quantitative analysis of fetal movement
Test signals and images for exercises