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Thanks, for another good introduction to DSP, there's this excellent website: http://jackschaedler.github.io/circles-sines-signals/index.html http://jackschaedl
by koblenski 11y ago
Thanks, for another good introduction to DSP, there's this excellent website: http://jackschaedler.github.io/circles-sines-signals/index.html http://jackschaedler.github.io/circles-sines-signals/index.h.... It also has good animations, and some are more interactive than mine. It takes a bit of a different path through DSP concepts, and focuses on the relationship between circles, trigonometric functions, and signal analysis.
For a more in depth study of DSP, I would recommend this book: http://www.amazon.com/Understanding-Digital-Signal-Processing-Richard-ebook/dp/B004DI7JIQ http://www.amazon.com/Understanding-Digital-Signal-Processin.... It's quite readable for a textbook, and from my experience with linear algebra and signals and systems texts (they're all related), it's more understandable.
It would be nice to have a full online, animated DSP book, as that's a natural fit for DSP, but I'm not aware of something like that, yet. Maybe these posts could be the beginning of something like that.
(edit: Amazon link)
- hcrisp 11y agoThere is no better book than Rick Lyons' that is linked above on Amazon (and I have browsed many others). I believe his book has several other frequency-specific methods for envelope estimation.
- fla 11y agoVisualizations don't work with Chrome 44. (Caused by a call to Array.fill wich isn't available)
- shermanyo 11y agoThanks for the links, bookmarking and having a read now. I'm a math nerd, so the geometric side is perfect. I can implement algorithms / find suitable libraries without issue, its having that intuitive understanding of the relationships, visualizing the mechanics that really let you think practically about problems.