September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Chapter 10. Signal Processing
In this chapter, we will cover the following topics:
- Analyzing the frequency components of a signal with a Fast Fourier Transform
- Applying a linear filter to a digital signal
- Computing the autocorrelation of a time series
Introduction
Signals are mathematical functions that describe the variation of a quantity across time or space. Time-dependent signals are often called time series. Examples of time series include share prices, which are typically presented as successive points in time spaced at uniform time intervals. In physics or biology, experimental devices record the evolution of variables such as electromagnetic waves or biological processes.
In signal processing, a general objective consists of extracting meaningful ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.