<story><title>The Scientist and Engineer&apos;s Guide to Digital Signal Processing (1997)</title><url>http://www.dspguide.com/</url></story><parent_chain></parent_chain><comment><author>SonOfLilit</author><text>I can&amp;#x27;t recommend this book highly enough to engineers, students and tinkerers interested in DSP for audio or data analysis.&lt;p&gt;Just the first chapter on sampling made so many things click for me (I already had a background in sound synthesis with synthesizers, bpt no theory), and it made it all seem so &lt;i&gt;beautiful&lt;/i&gt; (I still think signal processing is one of the most beautiful fields of math, probably because of how the Fourier Transform &amp;quot;happens&amp;quot; to be almost identical to its inverse and this lets you do so much with such a small and simple set of tools).&lt;p&gt;The book was clearly written by a good engineer, as it is full of wisdom, tricks and intuition of the kind you only learn on the field. It has good exercises and very simple code for everything.&lt;p&gt;The book takes the discrete-only approach - it doesn&amp;#x27;t even once show an integral, only sums on arrays of floating point numbers. This is a very good approach that I&amp;#x27;m not aware of other texts taking.&lt;p&gt;I studied most of it while living with a friend who applied and taught DSP on his day job. Every evening we would sit in front of a whiteboard and compare my newly earned knowledge on a tool of discrete signals processing with the continuous version that he used and taught. Invariably, we ended with the conclusion that &amp;quot;my&amp;quot; version was much simpler and more intuitive while preserving all the needed power in practice. So I never even tried to grok the continuous Fourier Transform, and yet my intuition of linear systems has served me very well ever since.</text></comment>
<story><title>The Scientist and Engineer&apos;s Guide to Digital Signal Processing (1997)</title><url>http://www.dspguide.com/</url></story><parent_chain></parent_chain><comment><author>ChuckMcM</author><text>I would be interested in knowing how it compares to Practical Signal Processing (&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.amazon.com&amp;#x2F;Practical-Signal-Processing-Mark-Owen&amp;#x2F;dp&amp;#x2F;1107411823&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.amazon.com&amp;#x2F;Practical-Signal-Processing-Mark-Owen...&lt;/a&gt;)</text></comment>