Search results for "elektor or magazine or fr or decembre or 2016"

Aus dem Inhalt Über ein Jahrhundert Triode Neues vom Röhrenmarkt Siebketten mit Drossel, Widerstand und Kondensatoren Inserentenverzeichnis Eintakt-A-Endstufe mit der Triode 833 Gegentakt-AB-Endstufe mit der 6C33 Gegentakt-Triodenstufe mit ECC 99 und ECC 832 Phonovorstufe in Röhrentechnik Mehrkanalverstärker High-End-Audio Digital-Analog-Converter (DAC) Röhrensound mit Halbleitern Leserbrief CD-Two MKII Röhrendaten mit Sockelschaltungen

Read (+) (–)

Inhalt: Theorie & Anwendung UV-Leistungslichtquelle auf Leuchtdiodenbasis Wasserentkeimung mit UV-Leuchtdioden Cool down: LEDs richtig kühlen Umrüstung: Referenzdesign für eine LED-Leuchte Netzteil-Architekturen für Power- und RGB-LEDs Selbstbauprojekte Optische Messtechnik bei Leuchtdioden Sternschnuppe: ein Meteor aus LEDs LED-Interface mit 64 Ausgängen

Read (+) (–)

Inhalt Röhrentechnik iPod-Röhrenverstärker Opus 2: Hybrid-Technik mit Silizium-Vorstufe Single Ended mit 2x 2 Watt: Minimalistisches Design mit Triode Der General II: Eine 300B-Version mit interner Trafo-Kopplung Experimenteller 30-W-Röhrenverstärker: Ein Entwurf – viele Varianten Vielseitiger Gitarrenverstärker: Röhrenbestückte Klangmaschine Hybrider Leistungsverstärker: Ultralinearschaltung mit EL34 und Operationsverstärker Crownstone Tubecharger: Gitarrenverstärker im Retro-Design Lautsprecher Pipeline: Das ganz spezielle Line Array Nescio: Aktiv mit Hypex-DSP Synchron Center und Rear: MTM-Design für die Home-Cinema-Fraktion und der passende kleine Bruder dazu 261-PA: Zwei 6-Zöller plus Kalotte und HiFi-Abstimmung Tura: Mission mal unübersehbar anders Quintett: Edles von Visaton mit sechsfacher Bestückung Halbleitertechnik Entstörung von Röhrenverstärkern: Die Tipps gegen Brummen, Knistern und Rauschen 600 Watt Pure Path: Kompletter Verstärker mit dem ganz besonderen Chip von Texas Instruments

Read (+) (–)

Mikrocontroller 7 (PDF)

Read (+) (–)

Erste Schritte ins IoT - mit dem ESP32-C3WLAN-Taster und -Relais IoT-Cloud à la ArduinoErster Kontakt mit der Arduino-Cloud Arduino-Shield für zwei Geiger-Müller-ZählrohreEin hochempfindlicher, sehr stromsparender Strahlungsmesser CO2-WächterEin DIY-Ansatz zur Überwachung der Luftqualität MonkMakes: Luftqualitäts-Messgerätekit für den Raspberry PiMisst Temperatur und CO2e Aller Anfang ...muss nicht schwer sein: Willkommen bei der Diode! Beherrschen Sie die Fachsprache?Fünf praktische Tipps für Ingenieure Tipps & Tricks beim BauteiltestRecycling ohne teures Messequipment Stromsparende MaulwurfscheucheEin ATtiny13 ersetzt einen 555er Lichtschalter DeLuxEine Lösung für hochpräzises lichtgesteuertes Schalten Herausforderungen bei der Markteinführung von IoT-LösungenSorgen um Sicherheit, Skalierbarkeit und Wettbewerb Infografik 5-6/2022 Lieber doch verkabeltTipps zur Entwicklung einer 1-Gbit/s-Schnittstelle im Industrieumfeld Objekterkennung in Echtzeit für MCUs mit Edge Impulse FOMO WanderfeldröhrenBemerkenswerte Bauteile NB-IoT - ein ÜberblickStandards, Abdeckung, Verträge und Module Dragino LPS8 Indoor GatewaySchnell zum eigenen LoRaWAN-Gateway ATtiny-Mikrocontroller mit C und Assembler erforschenBeispiel-Kapitel: I/O-Ports des ATtiny Projekt 2.0Korrekturen, Updates und Leserbriefe LoRa-GPS-Tracker - ein UpdateDaten abholen und visualisieren mit dem Raspberry Pi Schaltungssimulation mit TINA Design Suite und TINACloudBeispiel-Kapitel: Sinusförmige Oszillatoren WinUI 3: Neues Grafik-Framework für Windows-AppsEine erste App für Elektroniker GUIs mit Python:Die schlechteste GUI der Welt Insel-SolaranlagenElektrische Energie unabhängig vom Netz Das 10-Jahres-HandyErneuern Sie Ihre Erwartungen! Hexadoku

Read (+) (–)

Theory, LTspice Simulation, and Hands-On Projects MOSFETs are essential components in modern electronics, used in switching, amplification, motor control, power conversion, digital logic, and audio circuits. This book offers a practical introduction to MOSFET technology, combining clear explanations with LTspice simulations and hands-on projects. Starting with semiconductor fundamentals, you will learn how MOSFETs operate, how they compare with BJTs, and how to apply them in real circuits. The book then progresses from basic switching applications to more advanced designs. You will learn how to: Understand N-channel and P-channel MOSFET operation Work with cutoff, triode, and saturation regions Simulate and analyze circuits using LTspice Build switching circuits for LEDs, relays, buzzers, sensors, and motors Create sensor circuits for light, temperature, touch, tilt, reed switches, and PIR motion detection Control motors and fans using PWM and H-bridge circuits Design MOSFET small-signal amplifiers Build astable, Colpitts, Hartley, phase-shift, and Pierce oscillators Experiment with MOSFET digital logic Explore buck and boost DC-DC converters Understand the basics of MOSFET audio power amplifiers Written for engineers, students, and experienced makers, this book connects theory with simulation and practical construction, giving you the knowledge and experience to design and experiment with MOSFET circuits with confidence.

Read (+) (–)

Vom Messwert zur stabilen Entscheidung Wie wird aus einem einfachen Mikrocontroller ein intelligentes System, das Sensorwerte erfasst, verarbeitet und sinnvoll darauf reagiert? Dieses Buch zeigt es Ihnen Schritt für Schritt – verständlich, praxisnah und ohne unnötige Vorkenntnisse. Sie beginnen mit den Grundlagen der digitalen und analogen Ein- und Ausgänge. Anschließend lernen Sie, wie Sensorwerte gelesen, geglättet und zuverlässig bewertet werden. Anschauliche Beispiele erklären, warum einzelne Messwerte oft täuschen können und wie Mittelwertbildung, Hysterese und einfache Entscheidungsregeln für stabile Ergebnisse sorgen. Nach und nach erweitern Sie Ihre Projekte um Displays, I²C-Kommunikation und mehrere vernetzte Mikrocontroller. So entstehen verteilte Systeme, in denen Raspberry Pi Pico und ATtiny-Controller Daten austauschen und gemeinsam Aufgaben übernehmen. Im fortgeschrittenen Teil erhalten Sie einen leicht verständlichen Einstieg in Merkmalsbildung, Datenvorverarbeitung, hybride Entscheidungsmodelle und TinyML-nahe Anwendungen. Dabei verbinden Sie klassische Regelungstechnik mit modernen datenbasierten Methoden. Alle Projekte werden von ausführlich kommentierten Programmen in C und MicroPython begleitet. Das Buch richtet sich an Einsteiger, Maker, Studierende und alle, die Embedded-Systeme von Grund auf verstehen möchten. Am Ende können Sie eigene Systeme entwickeln, die nicht nur messen, sondern Informationen auswerten, zuverlässige Entscheidungen treffen und gezielt reagieren.

Read (+) (–)

If you can describe it, you can build it AI coding assistants are changing what makers and solopreneurs can build. Tasks that once demanded weeks of learning a new language, framework, or software stack can now be delegated to an AI—provided you know how to describe the job, judge the result, and keep control of the process. The Maker’s Guide to AI Coding is a practical guide to doing exactly that. It explains how to work with AI coding tools as collaborators rather than vending machines, how much to delegate, how to write specifications that produce useful results, and how to recognise hallucinations, context drift, overconfidence, and code that runs but is still wrong. The book is built around four increasingly ambitious projects. You begin with a browser-based RC filter analyser, then develop a live serial data plotter for Arduino and other microcontrollers. Next comes a datasheet questionand- answer tool using retrieval-augmented generation (RAG), followed by a complete multi-user resource booking system with authentication, a database, external services, background jobs, and deployment. No advanced programming background is required. The emphasis is on thinking clearly, guiding the AI, testing what it produces, and preserving the skills needed to evaluate its work. Along the way, you learn development workflow designed to remain useful as tools evolve. If you can describe what you want to build, this book shows you how to turn that description into working software.

Read (+) (–)

If you can describe it, you can build it AI coding assistants are changing what makers and solopreneurs can build. Tasks that once demanded weeks of learning a new language, framework, or software stack can now be delegated to an AI—provided you know how to describe the job, judge the result, and keep control of the process. The Maker’s Guide to AI Coding is a practical guide to doing exactly that. It explains how to work with AI coding tools as collaborators rather than vending machines, how much to delegate, how to write specifications that produce useful results, and how to recognise hallucinations, context drift, overconfidence, and code that runs but is still wrong. The book is built around four increasingly ambitious projects. You begin with a browser-based RC filter analyser, then develop a live serial data plotter for Arduino and other microcontrollers. Next comes a datasheet questionand- answer tool using retrieval-augmented generation (RAG), followed by a complete multi-user resource booking system with authentication, a database, external services, background jobs, and deployment. No advanced programming background is required. The emphasis is on thinking clearly, guiding the AI, testing what it produces, and preserving the skills needed to evaluate its work. Along the way, you learn development workflow designed to remain useful as tools evolve. If you can describe what you want to build, this book shows you how to turn that description into working software.

Read (+) (–)

This bundle contains the AI Fusion Lab Kit – which includes over 450 components – and the book Physical AI with Raspberry Pi, offering a comprehensive, hands-on introduction to AI, electronics, and Python programming. Build practical projects that combine computer vision, voice interaction, sensors, motors, and large language models. The included book guides you step by step from Raspberry Pi setup and hardware control to advanced applications using OpenCV, MediaPipe, YOLO, OpenAI services, and local Ollama models. SunFounder AI Fusion Lab Kit for Raspberry Pi (450+ parts) The AI Fusion Lab Kit transforms a Raspberry Pi into a complete platform for learning artificial intelligence, electronics, and Python programming. It supports Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W, as well as popular AI models and services including ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama. With its camera, Pan-Tilt HAT, 10-axis sensor module, microphone, speaker, and electronic components, the kit enables users to build interactive AI projects that combine voice, vision, movement, and sensor data. It is suitable for beginners, students, makers, and anyone who wants to explore practical AI applications. Build Multimodal AI Projects Combine large language models with speech recognition, text-to-speech, camera vision, sensors, and breadboard circuits. Create projects that can listen, speak, see, react, and interact with their environment while learning how modern AI systems work. Explore AI Vision and Object Tracking Use YOLO, OpenCV, and MediaPipe to detect and track objects, colors, faces, and human movement. The motorized Pan-Tilt HAT allows the camera to follow targets automatically, demonstrating how computer vision and motion control work together. Voice AI with the Fusion HAT+ The Fusion HAT+ simplifies hardware control through a unified Python library and supports safe Raspberry Pi shutdown. Its integrated microphone and speaker make it easy to develop voice-controlled assistants and other conversational AI applications. Compatible with Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W Supports multiple cloud-based and local AI models Includes camera, Pan-Tilt HAT, 10DOF module, microphone, and speaker Projects covering voice AI, computer vision, sensors, and electronics Video lessons, documentation, and sample code Book: Physical AI with Raspberry Pi Using the Raspberry Pi and the AI Fusion Lab Kit, this book takes you step by step from the fundamentals of hardware interfacing to the development of intelligent systems capable of seeing, listening, speaking, and making decisions. Whether you are a student, educator, maker, or professional engineer, you will gain valuable experience through projects designed to build both knowledge and confidence. Beginning with system setup, GPIO programming, sensors, displays, motors, and automation techniques, the book gradually introduces more advanced topics, including speech recognition, text-to-speech synthesis, conversational AI, object recognition, and machine learning. Along the way, you will learn how to create voice-controlled devices, intelligent assistants, camera tracking systems, environmental monitoring solutions, and AI-powered embedded applications. Explore modern technologies such as OpenAI services, Ollama local large language models, OpenCV, MediaPipe, and YOLO object detection while gaining practical experience with real-world applications used in robotics, industrial automation, smart devices, and autonomous systems. You’ll discover how intelligent software can interact with sensors, cameras, motors, and displays to create systems that respond naturally to the world around them. Rather than simply following code examples, you will be encouraged to experiment, customize, and expand every project. The techniques and skills developed throughout this book provide a solid foundation for future innovation, rapid prototyping, research, and product development. If you are ready to move beyond traditional electronics and explore the future of intelligent embedded systems, this book will guide you every step of the way. This bundle contains: SunFounder AI Fusion Lab Kit for Raspberry Pi (normal price: €100) Book: Physical AI with Raspberry Pi (normal price: €45) Not included Raspberry Pi

Read (+) (–)

Program, build, and master 60+ projects with the Wireless RP2040 The Raspberry Pi Pico and Pico W are based on the fast, efficient, and low-cost dual-core ARM Cortex M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM and 2 MB of Flash memory. Besides spacious memory, the Pico and Pico W offer many GPIO pins, and popular peripheral interface modules like ADC, SPI, I²C, UART, PWM, timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico W additionally includes an on-board Infineon CYW43439 Bluetooth and Wi-Fi chipset. At the time of writing this book, the Bluetooth firmware was not yet available. Wi-Fi is however fully supported at 2.4 GHz using the 802.11b/g/n protocols. This book is an introduction to using the Raspberry Pi Pico W in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all of the 60+ working and tested projects covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external sensor chips Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Bluetooth, WiFi, and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects are tried & tested. They can be implemented on both the Raspberry Pi Pico and Raspberry Pi Pico W, although the Wi-Fi-based subjects will run on the Pico W only. Basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects.

Read (+) (–)

Inhalt Theorie & Anwendung Thermische Simulation von LED-Systemen LUVLED 100 LEDs LEDs ans Netz Laserstrukturierung von TCOs Ha(l)lo LED Wärmemanagement bei LEDs 3D-Laserscanning mit Linienlaser und Smart Camera Selbstbauprojekte Lichtbögen für die Modelleisenbahn LED-Anwendungen mit Arduino LED-Treiber für Maglite-Taschenlampe

Read (+) (–)