Think DSP

Download free course Think DSP, pdf file on 157 pages by Allen Downey.

If you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first chapter alone, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds.

Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material.

You'll explore: Periodic signals and their spectrums; Harmonic structure of simple waveforms; Chirps and other sounds whose spectrum changes over time; Noise signals and natural sources of noise; The autocorrelation function for estimating pitch; The discrete cosine transform (DCT) for compression; The Fast Fourier Transform for spectral analysis; Relating operations in time to filters in the frequency domain; Linear time-invariant (LTI) system theory; Amplitude modulation (AM) used in radio.

Table of contents

  • Sounds and Signals
  • Harmonics
  • NonPeriodic Signals
  • Noise
  • Autocorrelation
  • Discrete Cosine Transform
  • Discrete Fourier Transform
  • Filtering and Convolution
  • Differentiation and Integration
  • LTI Systems
  • Modulation and Sampling
Pages : 157
File type : PDF
Downloads: 17
Submitted On: 2022-02-03
License: CC BY-NC
Author(s): Allen Downey

What this DSP, Data recovery course can do for you

Take advantage of this course called Think DSP to improve your Others skills and better understand DSP, Data recovery.

This course is adapted to your level as well as all DSP, Data recovery pdf courses to better enrich your knowledge.

All you need to do is download the training document, open it and start learning DSP, Data recovery for free.

This tutorial has been prepared for the beginners to help them understand basic DSP, Data recovery Others. After completing this tutorial you will find yourself at a moderate level of expertise in DSP, Data recovery from where you can take yourself to next levels.

This tutorial is designed for DSP, Data recovery students who are completely unaware of DSP, Data recovery concepts but they have basic understanding on Others training.