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Features Internal LNA amplifier and selectable attenuator Low frequency support from 50KHz covering LF, MF, HF, VHF and UHF up to 960Mhz New HELP and SET buttons to improve user interface and configuration selection with 2-clicks Wide band coverage to all popular sub-1Ghz bands, including FM, TV and DTV, ISM, RFID, GSM, etc. Ideal choice for HAM bands from 160meters to 33cm Pocket size and light weight Solid metal case Spectrum Analyzer mode with Peak Max and Hold, Normal, Overwrite and Averaging modes High capacity internal Lithium battery for 20hs+ of continuous run, rechargeable by USB Multi-platform Windows/Linux/MacOS Open Source software and API libraries Can be extended with internal Expansion Modules for additional band and functionality Specifications Frequency band: 0.05 MHz - 960 MHz Frequency span: 0.1 MHz - 960 MHz Internal selectable LNA 25 dB gain Internal selectable Attenuator 30 dB Graphics LCD 128 x 64 pixels, great visibility outdoors Support included for Windows, Linux and MacOS X Backlight for great visibility indoor Internal Lithium Ion 1800mA/h rechargeable battery Standard SMA 50 Ω connector Wideband 144/433MHz dual band telescopic antenna included UHF 400-900 MHz rubber duck articulated antenna included Amplitude resolution: 0.5dBm Dynamic range: -125 dBm to 10 dBm Absolute Max input power: +30dBm Average noise level (typical LNA): -125 dBm Frequency stability and accuracy (typical): +-10 ppm Amplitude stability and accuracy (typical): +-2d Bm Frequency resolution: 1kHz Resolution bandwidth (RBW): automatic 2.6 kHz to 600 kHz Included 1x RF Explorer WSUB1G+ Spectrum Analyzer 1x Mini USB cable 1x Dual band 144/430MHz Telescopic antenna 1x UHF 400-900Mhz antenna 1x EVA case

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You can use RF Explorer 3G Combo equally well outdoor and indoor, and you can also connect it to a PC for extra functionality using standard mini-USB 2.0 connector. This model includes a WSUB1G baseline unit plus an RFEMWSUB3G Expansion Module conveniently assembled and tested. It comes with two SMA connectors and two antennas,a dual band telescopic 144 / 430 MHz antenna for all Sub-GHz frequencies and a whip helical antenna for 2.4 GHz band. Additional, specific band antennas may be needed to cover efficiently some of the frequencies supported. The combination of these two models offer the wide band coverage of the WSUB3G module, together with the highest sensitivity and quick response of the WSUB1G model for the popular sub-1GHz frequencies. Features Pocket size and light weight Solid aluminum metal case Includes a transport EVA carry case for RF Explorer Spectrum Analyzer mode with Peak Max and Hold, Normal, Overwrite and Averaging modes Lifetime free firmware upgrades available, open to community requested features High capacity Lipo for 16 hours+ of continuous run, rechargeable by USB Windows PC client Open Source Can be extended with internal Expansion Modules for additional band and functionality Wide band coverage to all popular RF frequencies, starting at 15 MHz and going up to 2.7 GHz. This includes very interesting frequency areas such as 2 m HAM radio, all VHF and UHF, FM radio, GPS, WiFi and WiMax, Bluetooth, etc. Firmware: RF Explorer 3G Combo is delivered with upgraded firmware v1.09. Note some of the features and operation accuracy will be improved in upcoming free firmware revisions. Specifications Battery Lithium Cells / Batteries contained in equipment UN3481 - PI967 Frequency band 15-2700 MHz Frequency span 112 KHz - 600 MHz Graphics LCD 128 x 64 pixels, great visibility outdoors PC Windows client supports Windows XP/Vista/Win7 both 32 and 64bits Backlight for great indoor visibility 2 standard SMA 50 ohms connector, one for Sub-GHz wideband Nagoya NA-773 telescopic antenna included and another 2.4 GHz one for 15-2700 MHz band with helical antenna included. Amplitude resolution 0.5 dBm Dynamic range Left SMA port (WSUB1G) -115 dBm to 0 dBm Right SMA port (WSUB3G) -110 dBm to -10 dBm Absolute Max input power Left SMA port (WSUB1G) +5 dBm Right SMA port (WSUB3G) +30 dBm Average noise level (typical) -110 dBm Frequency stability and accuracy (typical) +-10 ppm Amplitude stability and accuracy (typical) +-6 dBm Frequency resolution 1 KHz Resolution bandwidth (RBW) automatic 3 KHz to 600 KHz Weight 185 g Size 113 x 70 x 25 mm Included RF Explorer 3G Combo Nagoya NA-773 wideband telescopic antenna 2.4 GHz band antenna EVA Case Documentation For more info and to get started with your RF Explorer, visit the start page. For questions and support, please visit https://support.rf-explorer.com

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Apprenez à utiliser et programmer le microcontrôleur ESP32 en MicroPython dans vos futurs projets ! Ce livre (en anglais) de projets par Dogan Ibrahim, auteur populaire de livres Elektor contient de nombreux projets logiciels et matériels spécialement développés pour le kit de développement ESP32 de MakePython. Le kit est livré avec plusieurs LED, capteurs et actionneurs. Le kit vous aidera à acquérir les connaissances de base pour créer des projets IdO. Les projets testés dans le livre sont basés sur les composants fournis. Chaque projet est décrit par un schéma fonctionnel, un schéma de circuit, un listage complet ainsi qu’une description détaillée du programme. Contenu du kit 1x Carte de développement MakePython ESP32 avec LCD 1x Module de mesure à ultrasons 1x Capteur de température et d'humidité 1x Module buzzer 1x Module DS18B20 1x Module infrarouge 1x Potentiomètre 1x Module WS2812 1x Capteur de son 1x Capteur de vibrations 1x Module de résistance photosensible 1x Capteur de pouls 1x Servomoteur 1x Câble USB 2x Bouton 2x Plaque d'essai 45x Fils de connexion 10x résistances 330R 10x LED (Rouges) 10x LED (Verts) 1x Livre de projets (en anglais, 206 pages) 46 projets dans le livres Projets à LED LED clignotante SOS clignotant LED clignotante – utilisation d'un timer LED clignotantes en alternance Contrôle des boutons Modification de la fréquence de clignotement des LED à l'aide d'interruptions de boutons-poussoirs LED de poursuite Compteur binaire à LED Lumières de Noël (8 LEDs clignotant de façon aléatoire) Dés électronique Jour de chance de la semaine Projets de modulation de la largeur d'impulsion (PWM) Génération d'une forme d'onde PWM de 1000 Hz avec un rapport cyclique de 50% Contrôle de la luminosité des LED Mesures de la fréquence et du rapport cyclique d'une forme d'onde PWM Compositeur de mélodies Orgue électronique simple Servo motor control Thermomètre DS18B20 à servomoteur Projets de convertisseur analogique-numérique (CAN) Voltmètre Traçage de la tension d'entrée analogique Capteur de température interne de l'ESP32 Ohmmètre Module de résistance photosensible Projets de convertisseur numérique-analogique (CNA) Génération de tensions fixes Génération d'un signal en dents de scie Génération d'un signal à onde triangulaire Forme d'onde périodique arbitraire Génération d'un signal sinusoïdal Génération d'un signal sinusoïdal précis au moyen d'interruptions du timer Utilisation de l'afficheur OLED Compteur de secondes Compteur d'événements Thermomètre numérique à base d'OLED DS18B20 Contrôleur de température ON-OFF Mesure de la température et de l'humidité Mesure de la distance par ultrasons Taille d'une personne (stadiomètre) Mesure de la fréquence cardiaque (pouls) Autres capteurs fournis dans le kit Alarme antivol Lumière activée par le son Détection d'obstacles par infrarouge avec buzzer Anneau de LED RVB WS2812 Horodatage des données de température et d'humidité Programmation réseau Scanner Wi-Fi Contrôle à distance depuis le navigateur Internet (à l'aide d'un smartphone ou d'un PC) – Serveur Web Stockage des données de température et d'humidité dans le cloud Fonctionnement à faible puissance Utilisation d'un timer pour activer le processeur

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

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Ready-to-use devices and self-built Arduino nodes in the 'The Things Network' LoRaWAN has developed excellently as a communication solution in the IoT. The Things Network (TTN) has contributed to this. The Things Network was upgraded to The Things Stack Community Edition (TTS (CE)). The TTN V2 clusters were closed towards the end of 2021. This book shows you the necessary steps to operate LoRaWAN nodes using TTS (CE) and maybe extend the network of gateways with an own gateway. Meanwhile, there are even LoRaWAN gateways suitable for mobile use with which you can connect to the TTN server via your cell phone. The author presents several commercial LoRaWAN nodes and new, low-cost and battery-powered hardware for building autonomous LoRaWAN nodes. Registering LoRaWAN nodes and gateways in the TTS (CE), providing the collected data via MQTT and visualization via Node-RED, Cayenne, Thingspeak, and Datacake enable complex IoT projects and completely new applications at very low cost. This book will enable you to provide and visualize data collected with battery-powered sensors (LoRaWAN nodes) wirelessly on the Internet. You will learn the basics for smart city and IoT applications that enable, for example, the measurement of air quality, water levels, snow depths, the determination of free parking spaces (smart parking), and the intelligent control of street lighting (smart lighting), among others.

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