Book Image

NumPy Cookbook - Second Edition

By : Ivan Idris
Book Image

NumPy Cookbook - Second Edition

By: Ivan Idris

Overview of this book

<p>NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time.</p> <p>This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy.</p>
Table of Contents (19 chapters)
NumPy Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Designing an audio filter


I remember learning in the Analog Electronics class about all types of filters. Then we actually constructed these filters. As you can imagine, it's much easier to make a filter in software than in hardware.

We will build a filter and apply it to an audio fragment that we will download. We have done some of these steps before in this chapter, so we will leave out those parts.

How to do it...

The iirdesign() function, as its name suggests, allows us to construct several types of analog and digital filters. It can be found in the scipy.signal module. This module contains a comprehensive list of signal processing functions:

  1. Design the filter with the iirdesign() function of the scipy.signal module. IIR stands for infinite impulse response; for more information, see http://en.wikipedia.org/wiki/Infinite_impulse_response. We are not going to go into all the details of the iirdesign() function. Take a look at the documentation at http://docs.scipy.org/doc/scipy/reference...