Computer vision is not all AI. There is a lot of subjects to study. I started with this book https://www.amazon.com.br/Digital-Image-Processing-Rafael-Gonzalez/dp/013168728X
It cover the basis and introduces all the themes to go on with your studies. Good luck and have fun.
This is weird but the Signals and Systems Dummies book is actually good.
Specific to electromagnetic waves, a simple sine wave carrier is actually a spiral in 3-space. So it's complex. Looking at a 2d projection/slice is sort of ... wrong. The physical reality of radio waves is that they're inherently complex.
You can look at the cover or Rick Lyons' "Understanding Digital Signal Processing" for a picture of this.
https://www.amazon.com/Understanding-Digital-Signal-Processing-3rd/dp/0137027419
You didn't mention if you're doing Continuous or Discrete, but I used Discrete-Time Signal Processing in grad school and it's considered a pretty good book.
Alan Oppenheim's lectures at MIT are also a great source of information.
Oppenheim and Schafer is a standard text. I have a very old copy and I have always thought of this stuff as an engineering version of abstract algebra.
[Understanding DSP (third edition)](https://smile.amazon.co.uk/Understanding-Digital-Signal-Processing-United/dp/0137027419) by Rick Lyons is very good and very accessible.
Man I forgot about this website. Helped to bounce Oppenheim off this website to just condense it down into something practical
https://www.amazon.com/dp/0137027419
This was also a very practical book. You can probably find the international edition on eBay for cheaper
The Feynman Lectures on Physics, boxed set: The New Millennium Edition
$129.04
Amplitude of displacement is the thing a microphone measures**: sound waves create a time variable pressure front which displaces the diaphragm in the microphone. The pitch (frequency) and timbre (simultaneously occurring frequencies) of the signal can be recovered using the Fourier Transform. If you are unfamiliar this technique this is a reasonable introduction, though for a thorough treatment of the subject look to Oppenheim and Willsky.
Translation: it’s a totally reasonable tattoo that does capture the information (albeit at low resolution) of the sound.
** I’m not a expert on the operation of every type of microphone in existence. I am leaving space for the possibility that a microphone exists which does something completely different but I am totally unaware of it and it’s mechanism of operation.
I both like and loathe this suggestion. The theory behind the DFT is simple yet the road to understanding what it is is tortuous. The pedagogical approach of showing you first the CTFT, then convolution, CTFT Properties, then DTFT, then Linear Systems and their properties is confusing as hell, especially if you're reading it from a book where they're derived mathematically. Authors get lazy and list a series of equations without providing a high-level description of what's going on (I'm looking at you, PROAKIS).
One, I'm not attacking anyone and particularly not the youngsters. I'm trying to speed their progress. I provided plenty of directions on what they should be reading. Go up to my initial comment here. I didn't dismiss Graham completely; instead I suggested people read Zhang first for some proper framework. In particular, his approach is compatible with efficient markets so the premiums are there to be earned by everyone. (More broadly I like to live with an abundance mindset. It's not always zero sum, mi amigo, especially since we are not talking about alpha here.)
You present yourself as a thinking man and professional, but sometimes I wonder if you have a reading comprehension problem or alternatively your reading ability is fine but you are so resistant to the viewpoints of others that you fail to understand them properly before you lash out. I'm no psychologist so I will leave that to your therapist.
Second, go knock yourself out with his lectures (https://www.amazon.com/Feynman-Lectures-Physics-boxed-set/dp/0465023827/) . Not a real test since you are smarter than the average /r/investing bear but give it an honest effort and report back in a month.
Oppenheim gives a really great explanation for the motivation and derivation behind the Laplace and Fourier Transforms in is book Signals and Systems.
I know he also has some lectures on MIT Open Courseware, but I haven't seen them. I've heard good things.
I was really happy to have read that book before my Diff Eq class. Because that text just threw the Laplace Transform at us like it was handed down from the gods.
I recommend the Feynman Lectures on Physics, they are very clear and reaches up to quantum theory. If you feel that you don't know enough mathematics then you can read Schaum's Outline series on Calculus, and whatever other topic you feel is stopping you.
gnuradio would give you the ability to use things like gqrx of course, though with gnuradio you will have to identify a frequency and signal, decipher which modulation/encoding it is, and know how to properly interpret. It's seriously hard. I think you need to narrow down what you want to do, and do it on a per-protocol basis. E.g. I want to listen to NBFM repeaters, bluetooth, wifi, etc., then use specific tools.
Signals and Systems for Dummies can be a good companion book. It is another look at many of the common topics and problems. Step by step examples and illustrations for concepts like convolution
Disagree. Signal processing is not exactly central to "computer engineering" curricula in most accredited universities.
The book you reference, although a fundamental and essential book in the field, is also one laden thick with theory, and would only serve to discourage a high-school senior. If OP was asking about DSP however, I would recommend another book instead: Signal Processing First
Signal Processing First by McClellan is what we used. DSP never really peaked my interest so I can't say how good or bad of a book it is.
http://www.amazon.com/Signal-Processing-First-James-McClellan/dp/0130909998
I like Richard Lyons's Understanding Digital Signal Processing for signal processing, not sure about pure signals & systems.
I've heard good things about Zoher Karu's "Signals and Systems Made Ridiculously Simple" but haven't had a chance to get a copy myself. http://www.amazon.com/Signals-Systems-Made-Ridiculously-Simple/dp/0964375214
Oppenheim and Schafer is too advanced for an intro. I would recommend Signal Processing First by McClellan, Schafer, and Yoder. It is the book I learned with in college.
http://www.amazon.com/Signal-Processing-First-James-McClellan/dp/0130909998
I used the book you're currently using in my grad level deterministic signals class. I used this book by Proakis in some of my undergrad DSP classes. It's a little bit more straightforward than the Oppenheim book, which really is the DSP bible like someone else said.
If you really want basic, I used this book by McClellan in one of my sophomore-level DSP classes.
If you want something introductory and accessible on both the discrete and continuous Fourier transform (and Laplace and z), I can recommend Oppenheim & Willsky.
I always found the text very understandable and the notation more tight and self-consistent than in most textbooks -- I don't really understand the negative reviews on Amazon. I wouldn't be surprised if they were actually from competing publishers.
Full disclosure though: I got through this text with the aid of a really great prof, so I used it mostly to reinforce concepts I more or less already understood from lecture. But also it is one of the (very) few textbooks I actually remember in a positive light.