I am looking for a treatment of fundamental DSP theory where only discrete/finite signal models are used. To make a concrete example, every time standard textbooks write a convolution as a continuous integral, I would like to see instead a product between a Toeplitz matrix and a vector. It seems to me that developing such a theory from linear algebra would make implementing concrete DSP algorithm much easier. Think also of multirate/filter banks, etc... Except maybe for the book of Strang on Wavelets I have not seen any other book based this approach. Any book titles I have missed?
Subscribe to:
Post Comments (Atom)
digital communications - Understanding the Matched Filter
I have a question about matched filtering. Does the matched filter maximise the SNR at the moment of decision only? As far as I understand, ...
-
Moderator's note: As with all discussions of Jewish law on this site, any information included in this question or its answers is presen...
-
わりィ のはその関口って奴じゃねぇか。 I'm guessing that this って is という rather than は. So I get something like It's that idiot Sekiguchi isn't it? ...
-
I have learnt that: Our absolute configuration is R(if clockwise) or S(if anticlockwise) when we rank the priorities, when the hydrogen (or ...
No comments:
Post a Comment