Recommended Books for Self-Study in Signal Processing

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Discussion Overview

The discussion revolves around recommendations for self-study books in signal processing, covering both digital and analog aspects. Participants explore various resources and their applicability to different subfields within signal processing, including mathematical theory and practical applications.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant seeks recommendations for self-study books in signal processing, expressing interest in both digital and analog signal processing.
  • Another participant notes the broad scope of signal processing, mentioning various subfields such as discrete and continuous signals, and questions the original poster's background in electrical engineering and prior coursework.
  • A participant with a background in laser physics and electrical engineering indicates a focus on the mathematical side of signal processing and expresses interest in theoretical aspects of analog signal processing.
  • Oppenheim's Discrete-Time Signal Processing is recommended as a classic text, though one participant notes it lacks coverage of stochastic signals and filtering.
  • Several links to books are shared, including those focusing on the theoretical background of signal processing and practical applications.
  • There is a suggestion that "signals and systems" might be a useful keyword for finding relevant books on analog signals.
  • One participant mentions the Schaum's series as a low-cost option, while another finds Proakis' book to be comprehensive but challenging to understand.

Areas of Agreement / Disagreement

Participants express a range of opinions on the necessity and depth of studying analog signal processing, with no consensus on whether extensive study is warranted in contemporary contexts. Multiple competing views on recommended texts and their focus areas are present.

Contextual Notes

Participants highlight the importance of defining specific interests within signal processing, such as mathematical theory versus practical applications, which may influence book recommendations. There is also mention of varying levels of complexity and accessibility in the suggested texts.

wukunlin
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Is there any recommended books for signal processing for self study? Or like a reference book covering most fields?
my final bachelor year has been filled with prescribed papers but I'm thinking I will need to be familiar with signal processing.

At the moment I am looking "Digital Signal Processing: A Practical Guide for Engineers and Scientists" by Steven W. Smith. But I also want something for analogue signal processing.

thanks :)
 
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wukunlin,

"signal processing" is a pretty generic term: it includes discrete and continuous, deterministic, adaptive, statistical estimation and detection theory, single and multi-dimensional signals, etc. Some books focus on mathematical theory, some go into great depth on ultra-efficient implementations, some focus on applicatoins, etc. I know of no book that covers all of this.

What is your background? Are you an electrical engineering major? If not, have you at least taken a standard "signals and systems" course that covers discrete and continuous signals, systems, and transforms?

Also, when you say analog signal processing, are you talking about theoretical aspects or down to nitty gritty circuit design?

Jason
 
Last edited:
Hi Jason, thanks for the reply

I was considering the same problem when posting, seeing a whole pile of subfields of signal processing. I think for self study I would probably just focus on the mathematical side of things.

I am currently studying a degree involving laser physics and electrical engineering, which will eventually lead to optical fibre communications. The courses I've taken have cover some basic ( < 3 orders) filters and things like convolution, FFT, Z transform, Laplace transform.

The analogue signal processing I was thinking is mainly about the theoretical aspects and mathematical models of circuit components for continuous signals.

If I have to pick a few subfields to study on, filtering and modulation are what I am already familiar with and probably something I would use the most.
 
I used Oppenheim's Discrete-Time Signal Processing in my signals processing course. It is a DSP classic but I studied mainly from my professor's lecture notes which were based on the book.
It covers all the standard stuff you'd expect: sampling and reconstruction, DFT, Z-transform, FFT, filter design, etc.

I don't recall it having anything on stochastic signals and filtering (like kalman filter etc).
 
thanks discoversci, may I ask if there are equivalent (or close to) books for analogue signals? or is there no point to study them so extensively in this day and age?
 
wukunlin said:
thanks discoversci, may I ask if there are equivalent (or close to) books for analogue signals? or is there no point to study them so extensively in this day and age?

To be honest, I've never explicitly needed analog wise books in my studies. I get the impression that a proper keyword for searching books that you need should be "signals and systems". There are lots of them available, e.g. https://www.amazon.com/dp/1584503815/?tag=pfamazon01-20. It also depends if you prefer scientific or engineering approach and how deep you actually want to go. Mr Google will tell you more. Take your time. I've been there, done that :smile:
 
  • #10
Proakis book is the Bibble but hard to understand.
The simplest and most intuitive i found is understanding digital signal processing but its for digital only
 

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