Search results for "Raspberry pi debug probe"

The tinySA Ultra+ ZS-407 is a compact, handheld spectrum analyzer and signal generator. Covering 100 kHz to 7.3 GHz in Ultra mode, it lets you visualize and analyze RF signals from HF right through many modern wireless bands – and can even spot signals up to ~12 GHz thanks to harmonic tracking. The intuitive 4-inch resistive touchscreen and rechargeable battery make it great for fieldwork, while features like a built-in signal generator, switchable bandpass filters, step attenuator, USB-PC control and auto-calibration add serious versatility. Features Screen size: 4 inch (480 x 320) Spectrum Analyzer for 0.1-900 MHz or, with Ultra mode enabled up to 7.3 GHz, level calibrated up to 7.3 GHz. Can observe signals up to 12 GHz Signal Generator with sine wave output between 0.1-900 MHz or square wave up to 6.3 GHz or RF test signal output up to 7.3 GHz when not used as Spectrum Analyzer. Switchable resolution bandpass filters from 200 Hz to 850 kHz Built-in 20 dB optional LNA Color display showing max 450 points providing gapless covering up to the full frequency range. MicroSD card slot for storing measurements, settings and screen captures. Specifications (Spectrum Analyzer) Input frequency range from 100 kHz to 900 MHz in normal mode and up to 7.3 GHz with ULTRA mode enabled Input impedance 50 ohm when input attenuation set to 10 dB or more. Selectable manual and automatic input attenuation between 0 dB and 31 dB in 1 dB steps when LNA not active Maximum +/-5V DC input Absolute maximum input level of +6 dBm with 0 dB internal attenuation Absolute maximum short term peak input power of +20 dBm with 30 dB internal attenuation Suggested maximum input power of +0 dBm with internal attenuation in automatic mode For best measurements keep input power below -25 dBm Input Intercept Point of third order modulation products (IIP3) of +15 dBm with 0 dB internal attenuation 1 dB compression point at -1 dBm with 0 dB internal attenuation Power detector resolution of 0.5 dB and linearity versus frequency of ±2 dB below 5.3 GHz, ±5dB between 5.3 GHz and 6 GHz Minimum burst length for correct level measurement at 850 kHz RBW in zero span mode of 50 microseconds Absolute power level accuracy after power level calibration of ±2 dB Built-in optional 20 dB LNA with Noise Figure of 5 dB up to 6 GHz Lowest discernible signal without LNA at 30 MHz using a resolution bandwidth of 30 kHz of -102 dBm Lowest discernible signal with LNA at 30 MHz using a resolution bandwidth of 200 Hz of -145 dBm Frequency accuracy equal to the selected resolution bandwidth Phase noise at 30 MHz of -108 dB/Hz at 100 kHz offset and -115 dB/Hz at 1MHz offset Spur free dynamic range when using a 30 kHz resolution bandwidth of 70 dB Resolution filters with a width of 0.2, 1, 3, 10, 30, 100, 300, 600 and 850 kHz On screen resolution of 51, 101, 145, 290 or 450 measurement points. Scanning speed of over 1000 points/second using largest resolution filters. Automatic optimization of actual scanning points to ensure coverage of the whole scan range regardless of the chosen resolution bandwidth Spur suppression option for assessing if certain signals are internally generated or actually present in the input signal Headphone output for listening to the demodulated audio (AM only). Stereo connector with or without microphone, high impedance is louder, short protected Specifications (Signal Generator) Sine wave output with harmonics below -40 dB of fundamental from 100 kHz to 900 MHz Output level selectable in 1 dB steps between -115 dBm and -19 dBm Above 800 MHz choice of two output modes: Cleanest signal mode: square wave, up to 6 GHz with coarse frequency steps and less accurate output level Highest accuracy mode: reduced harmonics with possibly strong spurs up to 7.3 GHz with frequency resolution equal to below 800 MHz and fine output level steps Level accuracy ±2 dB up to 800 MHz between -72 dBm and -19 dBm, less accuracy below -72 dBm, even less accuracy below -110 dBm Output frequency resolution 57.2 Hz Optional AM or FM modulation frequencies between 50 Hz and 5 kHz (AM) or 1 kHz (FM) or sweep over selectable frequency span AM modulation depth between 10% and 100% FM deviation between 1 kHz and 300 kHz Optional output level sweep over maximum the entire output level range Included 1x tinySA Ultra+ ZS407 Spectrum Analyzer 2x SMA connection cables 1x Barrel connector 1x Antenna with SMA connector 1x USB-C cable 1x microSD card (32 GB) Downloads Wiki

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USB to S/PDIF InterfaceDigital audio output for computer, laptop, tablet or smartphone Practical ESP32 Multitasking (4)Binary semaphores A Wireless Temperature Sensor for the Nixie Bargraph ThermometerA multipurpose solution with a design trick Multitasking with Raspberry PiShowcase: a traffic lights controller Timer for Headphone Amplifier Open-Network Weather Station Mk.2Part 2: Software Home Automation Made EasyWith ESPHome, Home Assistant & MySensors The Storage CRTPeculiar Parts, the series Artificial Intelligence for Beginners (3)A stand-alone neural network Programming PICs from the Ground UpAssembler routine to output a sine wave IKEA Lamp HackEquipping an inexpensive IKEA lamp with NeoPixel LEDs and WLAN Don't Let Your Hobby Project Collect Dust in a CornerSupply-side time management and spiral development Starting Out in Electronics (4)Easier than imagined! Homelab Tours: The Vinyl CutterReturning to the golden age of LPs The 8-Bit Microcontroller and BeyondInterview with Tam Hanna Small Circuits RevivalFrom the Elektor suggestions box Review: Owon OW18E Bluetooth Multimeter InteractiveCorrections & Updates || Questions & Answers Steeped in ElectronicsLead-free soldering and EU regulatory zeal Promising Project: New 50 Hz – 2 MHz LCR meterAccuracy and ease of use Error AnalysisTips on FMEA, High Current, and More Developer's ZoneTips & Tricks, Best Practices and Other Useful Information Review: Siglent SDL1020X Programmable DC Electronic Load High-Voltage Power Supply with Curve TracerGenerate voltages up to 400 V and trace characteristics curves for valves and transistors Hexadoku 2009EL Analogue Electronics DesignCase Study #2 — Part 1: Analogue filter theory The Elektor StoreNever expensive, always surprising How to Draw a Circuit Diagram

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Secure, Modular, Open-Source and Self-Sufficient Ever since the Raspberry Pi was introduced, it has been used by enthusiasts to automate their homes. The Raspberry Pi is a powerful computer in a small package, with lots of interfacing options to control various devices. This book shows you how you can automate your home with a Raspberry Pi. You’ll learn how to use various wireless protocols for home automation, such as Bluetooth, 433.92 MHz radio waves, Z-Wave, and Zigbee. Soon you’ll automate your home with Python, Node-RED, and Home Assistant, and you’ll even be able to speak to your home automation system. All this is done securely, with a modular system, completely open-source, without relying on third-party services. You’re in control of your home, and no one else. At the end of this book, you can install and configure your Raspberry Pi as a highly flexible home automation gateway for protocols of your choice, and link various services with MQTT to make it your own system. This DIY (do it yourself) approach is a bit more laborious than just installing an off-the-shelf home automation system, but in the process, you can learn a lot, and in the end, you know exactly what’s running your house and how to tweak it. This is why you were interested in the Raspberry Pi in the first place, right? Turn your Raspberry Pi into a reliable gateway for various home automation protocols. Make your home automation setup reproducible with Docker Compose. Secure all your network communication with TLS. Create a video surveillance system for your home. Automate your home with Python, Node-RED, Home Assistant and AppDaemon. Securely access your home automation dashboard from remote locations. Use fully offline voice commands in your own language. Download the software and view the errata for the book on GitHub.

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Highlights Frequency: 1.5 GHz DANL: -161 dBm Phase Noise: -102 dBc/Hz RBW: 1 Hz Specifications Ultra-Real technology Frequency: up to 1.5 GHz Displayed average noise level (DANL): <-161 dBm (typical) Phase noise: <-102 dBc/Hz (typical) Level measurement uncertainty: <1.0 dB 1.5 GHz tracking generator Min. RBW 1 Hz Up to 10 MHz real-time analysis bandwidth Multiple measurement modes Various advanced measurement functions EMI measurement application (option) Multiple trigger modes and trigger masks Density, spectrogram, and other display modes PC software options 10.1'' capacitive multi-touch screen; supporting touch gestures USB, LAN, HDMI and other communication and display interfaces Included 1x Rigol RSA3015E-TG Spectrum Analyzer 1x Power cord 1x USB cable

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Elektor Septembre/Octobre 2020 (PDF)

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KI in der Praxis Tauchen Sie ein in die faszinierende Welt der Robotik und Automatisierung! Dieses Elektor Special zeigt, wie Sie mit Kreativität, etwas Know-how und günstiger Technik eigene Roboter bauen können. Vom ersten DIY-Projekt mit Arduino oder Raspberry Pi bis hin zu intelligenten Systemen mit KI – dieses Heft macht moderne Robotik verständlich und greifbar. Entdecken Sie praxisnahe Anleitungen, inspirierende Projekte und spannende Einblicke in die Maker-Szene. Lernen Sie, wie aus Experimentierfreude, Gemeinschaft und Offenheit echte Innovation entsteht – und warum Robotik weit mehr ist als nur ein technisches Hobby. Inhalt Phantasie wird Realität Arduino-controlled Drawing Robot GalaxyRVR Mars Rover Kit for Arduino YDLIDAR X4Pro Lidar xHuskyLens AI Camera DOF Robot Arm mit Raspberry Pi Pico Fertigungsroboter mit Fischertechnik Pneumatischer Industrieroboter Warum bauen wir immer wieder Roboterhunde? Elektor Mini-Wheelie Roboterfahrzeuge und autonomes Fahren

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. What to expect This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization: End-to-End Edge AIA hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware. High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)Pushing inference speed and precision for visual counting applications. PCB Defect Detection with Computer Vision (Raspberry Pi)Smarter manufacturing through embedded vision. Smart Building Ventilation with Sensor FusionAI-powered environmental optimization for energy efficiency. Analog Meter Reading (Arduino Nicla Vision)A TinyML approach to automating analog infrastructure. Smart Appliance Control Using Voice Commands (Nordic Thingy:53)Speech recognition at the edge. Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)Combining IoT sensing and embedded ML for fluid analysis. Surgery Inventory Object DetectionApplying real-time vision to healthcare logistics. Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more. Contents What the Heck Is Edge AI Anyway?Bringing Intelligence to the Device Meet Edge Impulse StudioEasily Build and Deploy Edge AI Models Keyword Spotting with Edge ImpulseCollect, Train, and Deploy Smart Appliance Control Using Voice Commands with the Nordic Thingy:53 Key Terms for Understanding Edge AI and Machine Learning Crash Course: Getting Started with Edge ImpulseLearn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense A New Chapter for ArduinoFrom Hobby Board to Edge Computing Powerhouse Getting Started with Object Detection on Edge Devices PCB Defect DetectionComputer Vision with Raspberry Pi Scaling AI to the Smallest Devices Optimizing Power Efficiency in Battery-Driven Edge AI Devices AI ToasterWhen Edge AI Meets Breakfast Thundercomm Rubik Pi 3Raspberry Pi Familiarity Meets Edge AI Leadership, Embedded ML, and the Edge Revolution Vision Language Models for the EdgeCascading Models for Better Reliability Get to Know Edge ImpulseQuestions from the Elektor Community Project Update #5: ESP32-Based Energy MeterUsing Edge AI to Recognize Household Loads Motion Recognition with Anomaly DetectionAn End-to-End Tutorial Smart Ventilation System: Fusing Sound and Environmental DataA Dual-MCU Machine Learning Approach for Automated Window and Louver Control Bringing Voice Control to Earbuds and Headsets AI at the Edge: Powering the Next Generation of Devices

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Hands-on in more than 50 projects STM32 Nucleo family of processors are manufactured by STMicroelectronics. These are low-cost ARM microcontroller development boards. This book is about developing projects using the popular STM32CubeIDE software with the Nucleo-L476RG development board. In the early Chapters of the book the architecture of the Nucleo family is briefly described. The book covers many projects using most features of the Nucleo-L476RG development board where the full software listings for the STM32CubeIDE are given for each project together with extensive descriptions. The projects range from simple flashing LEDs to more complex projects using modules, devices, and libraries such as GPIO, ADC, DAC, I²C, SPI, LCD, DMA, analogue inputs, power management, X-CUBE-MEMS1 library, DEBUGGING, and others. In addition, several projects are given using the popular Nucleo Expansion Boards. These Expansion Boards plug on top of the Nucleo development boards and provide sensors, relays, accelerometers, gyroscopes, Wi-Fi, and many others. Using an expansion board together with the X-CUBE-MEMS1 library simplifies the task of project development considerably. All the projects in the book have been tested and are working. The following sub-headings are given for each project: Project Title, Description, Aim, Block Diagram, Circuit Diagram, and Program Listing for the STM32CubeIDE. In this book you will learn about STM32 microcontroller architecture; the Nucleo-L476RG development board in projects using the STM32CubeIDE integrated software development tool; external and internal interrupts and DMA; DEBUG, a program developed using the STM32CubeIDE; the MCU in Sleep, Stop, and in Standby modes; Nucleo Expansion Boards with the Nucleo development boards. What you need a PC with Internet connection and a USB port; STM32CubeIDE software (available at STMicroelectronics website free of charge) the project source files, available from the book’s webpage hosted by Elektor; Nucleo-L476RG development board; simple electronic devices such as LEDs, temperature sensor, I²C and SPI chips, and a few more; Nucleo Expansion Boards (optional).

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Clever Tricks with ATmega328 Pro Mini Boards With a simple Pro Mini board and a few other components, projects that 20 or 30 years ago were unthinkable (or would have cost a small fortune) are realized easily and affordably in this book: From simple LED effects to a full battery charging and testing station that will put a rechargeable through its paces, there’s something for everyone. All the projects are based on the ATmega328 microcontroller, which offers endless measuring, switching, and control options with its 20 input and output lines. For example, with a 7-segment display and a few resistors, you can build a voltmeter or an NTC-based thermometer. The Arduino platform offers the perfect development environment for programming this range of boards. Besides these very practical projects, the book also provides the necessary knowledge for you to create projects based on your own ideas. How to measure, and what? Which transistor is suitable for switching a certain load? When is it better to use an IC? How do you switch mains voltage? Even LilyPad-based battery-operated projects are discussed in detail, as well as many different motors, from simple DC motors to stepper motors. Sensors are another exciting topic: For example, a simple infrared receiver that can give disused remote controls a new lease on life controlling your home, and a tiny component that can actually measure the difference in air pressure between floor and table height!

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The Siglent SDS1104X-E employs a new generation of SPO (Super Phosphor Oscilloscope) technology that provides excellent signal fidelity and performance. The system noise is also lower than similar products in the industry. It comes with a minimum vertical input range of 500 uV/div, an innovative digital trigger system with high sensitivity and low jitter, and a waveform capture rate of 400,000 frames/sec (sequence mode). The SDS1104X-E also employs a 256-level intensity grading display function and a color temperature display mode not found in other models in this class. SIGLENT’s latest oscilloscopes offering supports multiple powerful triggering modes including serial bus triggering. Serial decoding is free and includes IIC, SPI, UART, CAN, and LIN. History waveform recording and sequential triggering enable extended waveform recording and analysis. Another powerful addition is the new 1 Mpt FFT math function that gives the SDS1104X-E very high frequency resolution when observing signal spectra. Features Intelligent trigger: Edge, Slope, Pulse Width, Window, Runt, Interval, Timeout (Dropout), and Pattern Free Serial bus triggering and decoding:IIC, SPI, UART, RS232, CAN, and LIN Video triggers and supports HDTV Low background noise and 500 μV / div to 10 V / div voltage scales 10 types of one-button shortcuts, supports Auto Setup, Default, Cursors, Measure, Roll, History, Display/Persist, Clear Sweep, Zoom and Print Segmented acquisition (Sequence) mode, dividing the maximum record length into multiple segments (up to 80,000), according to trigger conditions set by the user, with a very small dead time segment to capture the qualifying event. History waveform record (History) function, the maximum recorded waveform length is 80,000 frames Automatic measurement function on 38 parameters, supports Statistics, Gating measurement, Math measurement, History measurement and Ref measurement 1 Mpts FFT True measurement and math can use all 14 Mpts of memory Preset key can be customized for user settings or factory “defaults” Security Erase mode Highspeed hardware based Pass/ Fail function Large 7-inch TFT-LCD display with 800 * 480 resolution Multiple interface types: USB Host, USB Device (USB-TMC), LAN (VXI-11), Pass / Fail, Trigger Out Supports SCPI remote control commands Multi-language display and embedded help Browser control/onboard webpage for software free monitoring (4 channel models only) Included 1x Siglent SDS1104X-E Oscilloscope 4x 100 MHz probes 1x Guarantee Card 1x Power Cord 1x USB Cable 1x Quick Start Guide Downloads Datasheet Manual Programming Guide

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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The Peak Atlas LCR45 does everything that the popular LCR40 does, but it has some significant enhancements. The LCR45 features a new high capacity micro and high resolution ADCs. LCR45 incorporates advanced maths, based on Complex Impedance analysis. This allows for enhanced component value measurement as well as a comprehensive and detailed impedance display. Features Supplied with gold plated removable hook probes Fluid measurements with hold function Automatic or manual component type Automatic or manual test frequency, DC, 1 kHz, 15 kHz or 200 kHz Enhanced measurement resolution: 0.2 µH, 0.2 pF and 0.2 Ohms Easy menu system for user settings Enhanced compensation for component parasitics and losses (such as core losses etc) Automatic or manual power-off Specifications Analyser type LCR and component impedance Component types Auto/Manual for L,C & R Measurement types Inductance, Capacitance and Resistance Other measurements Complex impedance/admittance More measurements Magnitude and Phase of impedance Inductance range 0uH to 2H Capacitance range 0 pF to 10000 uF Resistance range 0R to 2MR Test frequency Auto and manual: DC, 1 kHz, 15 kHz, 200 kHz Display type Alphanumeric LCD (not backlit) Measurement scheme Continuous (with optional hold) Battery GP23 (12 V/55 mAH type), ~700 ops Included LCR45 Passive Component Impedance Meter 2 mm plugs and sockets and removeable hook probes Comprehensive illustrated user guide 2 Batteries, one installed and one spare. GP23 Alkaline battery. (12 V/55 mAH) Downloads Datasheet (EN) User Guide (EN) User Guide (FR) User Guide (IT)

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