I am preparing an interview which may require some knowledges on DSP. Is there any questions, fundamental concepts, and theories that I would not want miss? Thanks a lot for the suggestions.
When I interview people, my questions depend a lot on the CV they've submitted.
If they're fresh from university, I am much more interested in whether they have ever heard of some of the basic image processing concepts: What is their definition of noise and background? What does a Gaussian filter do? And of course, I want to know if they know how to program as opposed to hacking together a last-minute solution for homework.
If they claim to be more experienced, I want to know how well they know what they're talking about. What's their opinion on supervised vs. unsupervised segmentation? What are good tracking algorithms, and why? What informs their choice of a filtering algorithm? How do they deal with stochastic data? And of course, do they know how to program?
Finally, I'm always happy to find out that they did some research into the topic ahead of time, even if they just read my papers and totally misunderstood them. I can always teach them knowledge, but it is hard to teach effort.
I would flip though a couple of your DSP textbooks to see what sub-topics need jogging in your memory. That helps prevent blank looks while you try to dredge up the words for some filter (etc.) you last used long ago. Perhaps also brush up on your complex math familiarity.
This is actually more important in DSP, as many of basic DSP skills are based, not on just the latest coding methodology or language fad, but on much older (more mature?) algorithms and mathematics.