A lot of it applies to software defined radio processing as well, other than tending to work in real vs complex, but you can always do either.
sfpotter•2h ago
Vast majority of this book covers DSP in very broad generality, much akin to what you would see in an undergrad EE course on the topic. Compare with Oppenheim and Schafer. Different focus but much of the same content.
munificent•1h ago
For any one-dimensional signal, honestly.
Audio is just the most common use case.
Blackthorn•1h ago
Without loss of generality.
monster_truck•45m ago
Do you think that's air you're breathing
stapedium•18m ago
I was hoping to see something on Kalman filters. But it was good to see info on state space analysis. Also good to see a simple example on why dynamic range compression is nonlinear. Would have been nice to see more info on what makes a system non-time invariant with examples.
o11c•4h ago
galangalalgol•3h ago
sfpotter•2h ago
munificent•1h ago
Audio is just the most common use case.
Blackthorn•1h ago
monster_truck•45m ago