amen zwa, esq.<p>Some good <a href="https://mathstodon.xyz/tags/books" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>books</span></a> on <a href="https://mathstodon.xyz/tags/DSP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DSP</span></a> for <a href="https://mathstodon.xyz/tags/engineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>engineering</span></a> undergrads:</p><p>for <a href="https://mathstodon.xyz/tags/EEs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EEs</span></a></p><p>• Digital Signal Processing, Oppenheim—the Bible<br>• Understanding Digital Signal Processing, Lyons—accessible, comprehensive, and practical<br>• Introduction to Digital Signal Processing, Kuc—dated but good<br>• Digital Filters, Hamming—a classic<br>• Wavelets and Filter Banks, Strang—straight from the Master<br>• Digital Signal Processing using ARM Cortex-M Microcontrollers, Ünsalan—STM32F4 bare-metal C programming using CMSIS-DSP library</p><p>for non-EEs</p><p>• The World According to Wavelets, Hubbard—easy overview by a non-STEM writer who interviewed all the big names in wavelet research<br>• The Scientist and Engineer's Guide to Digital Signal Processing, Smith—the gentlest</p><p>Bottom line: the more broadly read the student is, the more accessible the subject becomes.</p>