Contents |
Week |
Subjects |
Files |
#1 |
Introduction: Measurement, Noise, Filters, Sampling, ADC concepts |
none yet |
#2 |
Basic Concepts: Ensemble averaging, Convolution, Correlation, Covariance, Sampling Theory |
none yet |
#3 |
Spectral Analysis: Fourier transform, Power spectral density, Windowing |
none yet |
#4 |
Digital Filters: Z-Transform, FIR & IIR filters |
none yet |
#5 |
Spectral Analysis: Modern techniques |
none yet |
#6 |
Time-Frequency Methods: STFT, Wigner-Wille, Choi-Williams, Wavelets |
none yet |
#7 |
Advanced Signal Processing: Optimal and Adaptive filtes, Phase sensitive detection |
none yet |
#8 |
Multivariate Analyses: PCA, ICA |
none yet |
#9 |
Image Processing: Image formats, Filters, Transformations, Registration |
none yet |
#10 |
Image Segmentation |
none yet |
#11 |
Image Reconstruction |
none yet |
#12 |
Matlab Implementations |
none yet |
#13 |
Handing in your reports and making presentations of the chapter numbers given from "The Biomedical Engineering Handbook", Second Edition, Ed. Joseph D. Bronzino:
- Your name: Chapter number
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none yet |
#14 |
Handing in your reports and making presentations of the chapter numbers given from "The Biomedical Engineering Handbook", Second Edition, Ed. Joseph D. Bronzino:
- Your name: Chapter number
|
none yet |
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