I wanted to build the HTML version of the book, to try and convert it into an EPUB version, but that failed with the following error (when running make hevea):

sed 's/\(figs\/[^.]*\).\(pdf\|png\)/\1.eps/' book.tex > thinkdsp.tex
rm -rf html
mkdir html
hevea -O -e latexonly htmlonly thinkdsp
Exclude comment 'comment'
/usr/lib/hevea/hyperref.hva:65: Warning: Ignoring option: 'bookmarks'
./thinkdsp.tex:68: Warning: Command not found: \topsep
./thinkdsp.tex:69: Warning: Command not found: \topsep
./thinkdsp.tex:5203: Warning: '_' occurring outside math mode
./thinkdsp.tex:5223: Warning: '_' occurring outside math mode
./thinkdsp.tex:5250: Warning: '_' occurring outside math mode
./thinkdsp.tex:5374: Warning: '_' occurring outside math mode
./thinkdsp.tex:5420: Warning: '_' occurring outside math mode
./thinkdsp.tex:5479: Warning: '_' occurring outside math mode
./thinkdsp.tex:5523: Warning: '_' occurring outside math mode
./thinkdsp.tex:5555: Warning: '_' occurring outside math mode
./thinkdsp.tex:5578: Warning: '_' occurring outside math mode
./thinkdsp.tex:6830: Warning: Command not found: \backmatter
HeVeA Warning: images may have changed, run 'imagen  thinkdsp'
thinkdsp.html:488:143: Warning, block level element: div nested inside text-level element
thinkdsp.html:488:142: This opening tag is pending
thinkdsp.html:748:143: Warning, block level element: div nested inside text-level element
thinkdsp.html:748:142: This opening tag is pending
thinkdsp.html:1093:143: Warning, block level element: div nested inside text-level element
thinkdsp.html:1093:142: This opening tag is pending
thinkdsp.html:2999:126: Parser error: Unexpected </span>
thinkdsp.html:3854:369: Lexer error: extract_tag
thinkdsp.html:3854:369: Lexer error: abstract_tag
grep -v latexonly thinkdsp.image.tex > a; mv a thinkdsp.image.tex
grep -v fancyhdr thinkdsp.image.tex > a; mv a thinkdsp.image.tex
imagen -png thinkdsp
RESOLUTION: 100
This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Arch Linux) (preloaded format=latex)
 restricted \write18 enabled.
entering extended mode
(./thinkdsp.image.tex
LaTeX2e <2017-04-15>
Babel <3.15> and hyphenation patterns for 84 language(s) loaded.
(/usr/share/texmf-dist/tex/latex/base/book.cls
Document Class: book 2014/09/29 v1.4h Standard LaTeX document class
(/usr/share/texmf-dist/tex/latex/base/bk12.clo))
Runaway argument?
width=5.5in,height=8.5in, \newcommand {\theversion }{1.0.4} 
! Paragraph ended before \@fileswith@ptions was complete.
<to be read again> 
                   \par 
l.5 
    
? 
! Emergency stop.
<to be read again> 
                   \par 
l.5 
    
No pages of output.
Transcript written on thinkdsp.image.log.
This is dvips(k) 5.997 Copyright 2017 Radical Eye Software (www.radicaleye.com)
dvips: DVI file can't be opened: thinkdsp.image.dvi: No such file or directory
hacha thinkdsp.html
cp up.png next.png back.png html
mv index.html thinkdsp.css thinkdsp*.html  html
mv thinkdsp*.png *motif.gif html
mv: cannot stat 'thinkdsp*.png': No such file or directory
make: *** [Makefile:36: hevea] Error 1

As far as I can see, some command generates the thinkdsp.image.tex file, which starts as follows:

\newif\ifimagen\imagentrue
\documentclass[12pt]{book}
\usepackage[width=5.5in,height=8.5in,
\newcommand{\theversion}{1.0.4}

\pagestyle{empty}
\thispagestyle{empty}
\begin{document}
\newtheorem{exercise}{Exercise}[chapter]
\setcounter{chapter}{-1}

The \usepackage[width=5.5in,height=8.5in, command (line 3) looks wrong to me.

Hi all i just read the chapter 1 and ready to code a little bit. after cloned the repo, i run a few codes and python give me this words:No handles with labels found to put in legend. i googled something, but no results. here is my codes, my running env is anaconda 3.5.2 :

from __future__ import print_function, division

# %matplotlib inline
import thinkdsp
import thinkplot

import numpy as np

cos_sig = thinkdsp.CosSignal(freq=440, amp=10, offset=0)
sin_sig = thinkdsp.SinSignal(freq=880, amp=0.5, offset=0)

cos_sig.plot()
thinkplot.config(xlabel='Time (s)', ylabel='amp(p)')

The first line edited is self explanatory, that is a typo. If we create a sawtooth signal, we should say "sawtooth" instead of "triangle"

The second edit is needed, since the spectrum that we are modifying is from line 440, which is before creating the new sawtooth signal. I discovered it by making changes to duration and framerate of the sawtooth signal, and when playing the two comparative audios (with just different phases) the lenghts of the audios were completely different.

I am using your notebooks with Jupyter 4.2.1 and Python 3.5.2 under Ubuntu Desktop 16.10

The code snippet

def Config(**options):
    for name in names:
        if name in options:
            getattr(pyplot, name)(options[name])

generates TypeError: 'tuple' object is not callable

The following seems to fix it for me

def Config(**options):
    for name in names:
        if name in options:
            try:
                getattr(pyplot, name)(options[name])
            except TypeError:
                setattr(pyplot, name, options[name])

A number of supporting latex files are not found in the repo making the make command not usable (outside your personal machine at least). Would you mind committing them (e.g. latexonly.tex) to this repo?

On page 42, the following 2 lines of code should be inverted (i.e. config before plot): spectrum.plot_power(linewidth=1, alpha=0.5) thinkplot.config(xscale='log', yscale='log')

In thinkplot.py, I had to add the following 2 lines at the end of def Pcolor(...: if pcolor: plt.pcolormesh(X, Y, Z, **options) plt.show() #ADDED THIS OTHERWISE NOTHING SHOWS UP if contour: cs = plt.contour(X, Y, Z, **options) plt.clabel(cs, inline=1, fontsize=10) plt.show() # DITTO

Excellent book though, I'm learning a lot!

This pull request replaces the hevea Makefile target with a simple pandoc target that generates an HTML5 version of the book. In order to have scalable graphics in the HTML version the PDF figures were converted to SVG files. Also, the latexonly file was inlined and htmlonly which is now redundant was removed. I was not sure if the EPS files are still required, if not I could remove them in the PR as well.

phi gets rendered differently in different contexts.

For example, on page 31, phi looks different in an exponent or inline.

One option is to use exp() as a function everywhere, rather than e^{exponent}

Without it, compilation of source fails with the following output:

./book.tex:26: LaTeX Error: File 'hevea.sty' not found. [\usepackage]

The same error has been reported here too.

Hello, I translated the Preface of the book into Korean, and added project file for OmegaT, which is Open-Source CAT(Computer Assisted Translation) tool for convenient future contributions(e.g. correcting translation errors).

As the title reads, I have hit a bit of a snub trying the code out.

Trying to run the code: import thinkdsp

wave = thinkdsp.read_wave('100475__iluppai__saxophone-weep.wav') spectrogram = wave.make_spectrogram(seg_length=512) spectrogram.plot(high=700)

on Python 3.6, resulting in: Traceback (most recent call last): ... File "/Users/filipthor/PycharmProjects/music/main.py", line 9, in spectrogram = wave.make_spectrogram(seg_length=512) File "/Users/filipthor/anaconda/lib/python3.6/site-packages/thinkdsp.py", line 943, in make_spectrogram segment = self.slice(i, j) File "/Users/filipthor/anaconda/lib/python3.6/site-packages/thinkdsp.py", line 897, in slice ys = self.ys[i:j].copy() TypeError: slice indices must be integers or None or have an index method

Any ideas?

I am writing to express my disappointment and frustration with trying to install thinkdsp on my system. I have followed the instructions on the GitHub page, but I am still unable to get thinkdsp working. I have tried troubleshooting the issue on my own, but I am unable to resolve it.

I am very disappointed in the difficulty I have had trying to install thinkdsp, and I am asking for your help in resolving this issue. I would appreciate if someone from your team could provide assistance or offer guidance on how to successfully install thinkdsp.

Thank you for your attention to this matter. I look forward to hearing from you and receiving help with this issue.

I have an exercise that requires applying a guassian white noise with signal to noise ratio of 10 dB on a sine signal with amp=1, sampling rate=1 Hz, duration=1 and freq=3 Hz. The question then requests application of some filtering with cut-off and moving average.

The guassian noise implementation in thinkdsp does not take a SNR parameter. I didn't find anything signal to noise ratio in the book. Is it possible to solve this problem using thinkdsp and Python?

noise = thinkdsp.UncorrelatedGaussianNoise()

Created 5 cosine signals with varying frequencies however signal with freq 987 was not included in the final signal. Added sig5 to the final signal summation

https://github.com/AllenDowney/ThinkDSP/blob/eeef574b4b94c95d57c70c96d9083cd7cd33f346/code/thinkdsp.py#L124

In read_wave(), the call to normalize() makes issue: if read_wave() then write(), the new audio is different in amp. Suggest don't call normalize(), but convert data to [-1.0, 1.0] using: ys = ys * 1.0 / ( 2 ** (sampwidth * 8 - 1));

122,123d121 < ys = ys * 1.0 / ( 2 ** (sampwidth * 8 - 1)); < 126,127c124 < < # wave.normalize()

wave.normalize()