{"id":5394,"date":"2023-09-26T15:57:57","date_gmt":"2023-09-26T15:57:57","guid":{"rendered":"https:\/\/picockpit.com\/raspberry-pi\/?p=5394"},"modified":"2023-09-26T15:57:57","modified_gmt":"2023-09-26T15:57:57","slug":"paragon-project-visualizing-sound-waves","status":"publish","type":"post","link":"https:\/\/picockpit.com\/raspberry-pi\/de\/paragon-projekt-visualisierung-schallwellen\/","title":{"rendered":"Paragon-Projekt: Visualisierung von Schallwellen"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Visualizing-Sound-Waves-Title-Image-1024x576.png\" alt=\"Visualisierung von Schallwellen Titelbild\" class=\"wp-image-5397\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Visualizing-Sound-Waves-Title-Image-1024x576.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Visualizing-Sound-Waves-Title-Image-300x169.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Visualizing-Sound-Waves-Title-Image-768x432.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Visualizing-Sound-Waves-Title-Image-18x10.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Visualizing-Sound-Waves-Title-Image.png 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>In unserer Reihe Paragon-Projekte haben wir noch nicht viele k\u00fcnstlerische Projekte vorgestellt. K\u00fcnstler geh\u00f6ren jedoch zu den h\u00e4ufigsten (und offensichtlich auch kreativsten) Nutzern von Mikroprozessoren. Deshalb korrigieren wir heute dieses Vers\u00e4umnis, indem wir dieses sehr coole Projekt zur Visualisierung von Schallwellen vorstellen.<\/p>\n\n\n\n<p>Sie hei\u00dft schlicht und einfach \"<a href=\"https:\/\/github.com\/euniceylee\/waves\">Wellen<\/a>\" und seine Entwickler sind <a href=\"https:\/\/github.com\/bomanimc\">Bomani Oseni McClendon<\/a>, <a href=\"https:\/\/github.com\/euniceylee\">Eunice Lee<\/a>und <a href=\"https:\/\/github.com\/mazhang2718\">Matthew Zhang<\/a>.<\/p>\n\n\n\n<p>Es ist ein sehr unkompliziertes kleines Projekt. <\/p>\n\n\n\n<p>Zun\u00e4chst w\u00e4hlen Sie eine Taste aus, die einer Frage entspricht. Sie sprechen in ein Mikrofon, w\u00e4hrend Sie die Taste gedr\u00fcckt halten. Sie erhalten dann ein kleines St\u00fcck Papier mit der Audiowellenform. <\/p>\n\n\n\n<p>Gleichzeitig erscheint diese Audiowellenform auf einer Webseite, wo sie sich mit anderen Antworten zu einem Schallwellenarchiv verbindet.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-03.png\" alt=\"Waves-Einrichtung\" class=\"wp-image-5396\" style=\"width:459px;height:591px\" width=\"459\" height=\"591\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-03.png 681w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-03-233x300.png 233w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-03-9x12.png 9w\" sizes=\"auto, (max-width: 459px) 100vw, 459px\" \/><figcaption class=\"wp-element-caption\">Kredit: <a href=\"https:\/\/github.com\/euniceylee\/waves\">Eunice Lee<\/a>.<\/figcaption><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Hardware<\/h2>\n\n\n\n<p>Neben einem Raspberry Pi 3 und einem Adafruit Thermodrucker ben\u00f6tigt dieses Projekt nat\u00fcrlich auch ein Mikrofon.<\/p>\n\n\n\n<p>Au\u00dferdem haben Bomani, Eunice und Matthew einen sehr einfachen Aufbau mit einigen Kn\u00f6pfen auf einem kleinen Breadboard verwendet. Die Verdrahtung ist auf dem Bild unten zu sehen.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-14.png\" alt=\"Visualisierung der Verdrahtung von Schallwellen\" class=\"wp-image-5395\" style=\"width:469px;height:419px\" width=\"469\" height=\"419\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-14.png 995w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-14-300x268.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-14-768x685.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-26-14-13x12.png 13w\" sizes=\"auto, (max-width: 469px) 100vw, 469px\" \/><figcaption class=\"wp-element-caption\">Kredit: <a href=\"https:\/\/github.com\/euniceylee\/waves\">Eunice Lee<\/a>.<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Sie verwenden vier Schaltfl\u00e4chen f\u00fcr die vier Fragen, aber Sie k\u00f6nnen nat\u00fcrlich mit der Anzahl der Fragen und Schaltfl\u00e4chen f\u00fcr Ihren Aufbau herumspielen.<\/p>\n\n\n\n<p>Sie haben sich f\u00fcr ein USB-Mikrofon von Blue entschieden, aber Sie k\u00f6nnen auch kreativ sein, wenn es darum geht, wie Sie den Ton aufnehmen wollen.<\/p>\n\n\n\n<p>Au\u00dferdem ist es sinnvoll, einen Beh\u00e4lter f\u00fcr Ihre Druckkn\u00f6pfe zu besorgen, damit sie stilvoll aussehen. Sie empfehlen eine Kleenex-Box. Du kannst sie dann schwarz anmalen, damit sie so aussieht wie ihre Version.<\/p>\n\n\n\n<p>Und das war's mit den Hardwarekomponenten.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Software<\/h2>\n\n\n\n<p>Was die Software betrifft, so st\u00fctzt sich dieses Projekt ausschlie\u00dflich auf Python und HTML.<\/p>\n\n\n\n<p>Sie haben den gesamten Code hochgeladen auf <a href=\"https:\/\/picockpit.com\/raspberry-pi\/everything-about-sound-output-using-the-pico-w\/\">das GitHub-Repository<\/a>aber es ist sehr einfach. <\/p>\n\n\n\n<p>Sie verf\u00fcgen \u00fcber ein Skript, das erkennt, dass eine Aufnahme erfolgt, diese speichert und mit Hilfe der Matplotlib-Bibliothek in ein Wellenformbild umwandelt.<\/p>\n\n\n\n<p>Dann druckt er sie \u00fcber den Thermodrucker aus und sendet die Wellenform an einen Flask-Server.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43-1024x448.png\" alt=\"Druck von Wellen\" class=\"wp-image-5399\" style=\"width:562px;height:246px\" width=\"562\" height=\"246\" srcset=\"https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43-1024x448.png 1024w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43-300x131.png 300w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43-768x336.png 768w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43-1536x672.png 1536w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43-18x8.png 18w, https:\/\/picockpit.com\/raspberry-pi\/wp-content\/uploads\/2023\/09\/Screenshot-from-2023-09-26-17-48-43.png 1799w\" sizes=\"auto, (max-width: 562px) 100vw, 562px\" \/><figcaption class=\"wp-element-caption\">Kredit: <a href=\"https:\/\/vimeo.com\/220102610\">Eunice Lee<\/a>.<\/figcaption><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Schlussfolgerung<\/h2>\n\n\n\n<p>Sobald Sie Ihre Projektumgebung eingerichtet haben, sind Sie bereit, mit Ihren Freunden Kunst zu machen!<\/p>\n\n\n\n<p>Wenn Sie mehr Details erfahren m\u00f6chten, sollten Sie sich die GitHub-Seite ansehen <a href=\"https:\/\/github.com\/euniceylee\/waves\">hier<\/a>. Sie k\u00f6nnen sich den Beitrag auch auf der Raspberry Pi-Website ansehen <a href=\"https:\/\/www.raspberrypi.com\/news\/printed-sound-wave\/\">hier<\/a>.<\/p>\n\n\n\n<p>Ich w\u00e4re auch sehr neugierig darauf, dieses Build auf einem Pico zum Laufen zu bringen. Wenn Sie mehr \u00fcber Audio auf dem Pico W sehen wollen, haben wir <a href=\"https:\/\/picockpit.com\/raspberry-pi\/everything-about-sound-output-using-the-pico-w\/\">einen Artikel \u00fcber Alles \u00fcber die Tonausgabe mit dem Pico W hier<\/a>.<\/p>\n\n\n\n<p>Und schauen Sie sich unbedingt weitere <a href=\"https:\/\/picockpit.com\/raspberry-pi\/category\/paragon-projects\/\">Paragon Projekte hier<\/a>.<\/p>\n\n\n\n<p>Welche Fragen werden Sie aufzeichnen, sobald Sie Ihre haben?<\/p>\n<div class=\"shariff shariff-align-center shariff-widget-align-left shariff-buttonstretch\"><ul class=\"shariff-buttons theme-white orientation-horizontal buttonsize-medium\"><li class=\"shariff-button twitter shariff-nocustomcolor\" style=\"background-color:#595959\"><a href=\"https:\/\/twitter.com\/share?url=https%3A%2F%2Fpicockpit.com%2Fraspberry-pi%2Fde%2Fparagon-projekt-visualisierung-schallwellen%2F&text=Paragon%20Project%3A%20Visualizing%20Sound%20Waves\" title=\"Bei X teilen\" aria-label=\"Bei X teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; 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K\u00fcnstler geh\u00f6ren jedoch zu den h\u00e4ufigsten (und offensichtlich auch kreativsten) Nutzern von Mikroprozessoren. Heute korrigieren wir dieses Vers\u00e4umnis, indem wir dieses sehr coole Projekt zur Visualisierung von Schallwellen vorstellen. Es hei\u00dft einfach \"Waves\" und seine Entwickler sind Bomani Oseni McClendon,...<\/p>","protected":false},"author":2,"featured_media":5397,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1534,220],"tags":[1961,358,1957,1958,1960,189,486,447,187,456,359,1955,1956],"class_list":["post-5394","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-paragon-projects","category-raspberry-pi-projects","tag-art","tag-audio","tag-bomani-oseni-mcclendon","tag-eunice-lee","tag-matthew-zhang-2","tag-pi","tag-project","tag-projects","tag-raspberry-pi","tag-raspberry-pi-projects","tag-sound","tag-visualize","tag-waves"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Paragon Project: Visualizing Sound Waves | PiCockpit<\/title>\n<meta name=\"description\" content=\"This very unique 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