sLecture

↳ Topic 4: Discrete Parameter Signals and Systems

↳ Discrete Transforms

↳ Sampling and Scanning

↳ 2-D Filters

↳ 2-D Random Processes

↳ Filtered Random Processes

↳ Eigen-Signal Analysis and Examples

↳ Supplementary: Proof of Wiener-Khintchine Theorem

Excerpt from Prof. Bouman's Lecture

Accompanying Lecture Notes

text

Discrete Time Fourier Transform (DTFT)

Some Useful Discrete Time Functions and Transform Pairs

Discrete Space Fourier Transform and Properties

2-D Z-Transform

Relationship between Fourier and Z-Transforms

Fig 3: Event detection in a PET scanner

References

• C. A. Bouman. ECE 637. Class Lecture. Digital Image Processing I. Faculty of Electrical Engineering, Purdue University. Spring 2013.

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