Reference-style ADL5521 low-noise amplifier evaluation board with 50-ohm SMA RF input/output, matching networks, bias circuitry, and decoupling based on the Analog Devices eval design.

Preamplificador dual de bajo ruido para contrabajo con dos canales piezo independientes: canal UP con sensor LDTM-028K y canal DOWN con dos LDT0-028K en paralelo, alimentado con batería de 9 V y usando exclusivamente OPA1642. Incluye buffers de entrada de ultra alta impedancia (>=20 MOhm), control de ganancia independiente, filtrado HPF 20-30 Hz y LPF 15-18 kHz, ecualización activa de 3 bandas por canal, protección contra inversión de polaridad, filtrado RF en entradas, desacoplo 100 nF + 10 uF por rail por amplificador, topología de star ground, salidas SMA separadas compatibles con Fishman Presys Blend 301, objetivo de consumo total <5 mA, impedancia de salida <3.5 kOhm, nivel nominal de salida 0.25 V RMS y máximo 1 V RMS sin distorsión. Diseño listo para PCB y fabricación con enfoque de ruido mínimo.

Fully passive dual-chain X-Band upconverter with two 5–7 GHz SMA RF inputs, a single external LO SMA passively split to two mixer chains, and dual on-board 8–10 GHz 50 Ω PCB outputs with PI-match networks, no DC-powered components, BOM <$300 #PassiveUpconverter #DualChain #XBand #NoDCPower #BOMUnder300

Architectural Lavender Translation Collar – ESP32‑S3 Wi‑Fi + LoRa, USB‑C, Li‑ion, low‑power design Overview Experience a cutting-edge IoT solution with this low‑power board built around the ESP32‑S3‑MINI‑1‑N8. Designed for seamless Wi‑Fi (2.4 GHz), BLE, and LoRa (868 MHz) connectivity, this board integrates ENS161 and ENS210 sensors over I2C alongside an RFM95W‑868 LoRa radio on SPI. It is powered via a 3.7 V Li‑ion cell with USB‑C charging up to 500 mA, complete with full battery protection, a robust 3.3 V rail tailored for Wi‑Fi burst currents, and per‑peripheral power gating to enhance energy efficiency. Core Features • MCU: ESP32‑S3‑MINI‑1‑N8 equipped with an onboard PCB antenna for 2.4 GHz Wi‑Fi/BLE, ensuring optimal wireless performance. • Sensors: Integrated ENS161 and ENS210 sensors utilize a shared I2C bus with controllable 4.7 kΩ pull‑ups for streamlined communication. • LoRa Radio: The RFM95W‑868 module, connected via SPI, enables long‑range communication at 868 MHz. Power & USB‑C Connectivity • Battery: A reliable 3.7 V 1200 mAh Li‑ion battery connected via a right‑angle JST‑PH 2‑pin connector features built‑in battery protection. • Charging: The USB‑C receptacle, with CC resistors and TVS protection on D+/D− along with series resistors, supports fast, safe charging with a current limit of 500 mA. • Regulation: A dedicated 3.3 V regulator capable of handling Wi‑Fi burst currents coupled with bulk and high‑frequency decoupling ensures stable operation, supported by status LEDs indicating power and charge states. Low‑Power Control • Peripheral Management: Load switches allow selective power‑gating of the ENS161, ENS210, and RFM95W modules, controlled directly by ESP32‑S3 GPIOs. • Energy Efficiency: Controllable I2C pull‑ups minimize idle current, vital for prolonged battery life in IoT applications. RF and Antenna Integration • 2.4 GHz: Utilizes the integrated PCB antenna on the ESP32‑S3 with proper ground/metal keep‑out zones for optimal signal integrity. • 868 MHz: Features a controlled‑impedance feed from the RFM95W to a PI matching network (C‑L‑C pads) with flexible antenna options—selectable via SMA connector, chip antenna, or PCB trace—and includes RF ESD protection. Connectivity & Debug Features • USB‑C Interface: Provides secure data connectivity with integrated safeguards and proper terminations. • Debugging: A comprehensive programming/debug header exposes EN, BOOT, and UART lines, with test points on key rails and buses (3V3, VBAT, SCK, MOSI, MISO, SDA, SCL, RESET/EN, GND) to simplify development and troubleshooting. Design Verification • Rigorous ERC/DRC and decoupling checks ensure adherence to component ratings and optimal signal routing. • Maintain RF keep‑outs and impedance‑controlled traces for both 2.4 GHz and 868 MHz paths, securing reliable performance even during high‑intensity operations. #IoT #ESP32S3 #LoRa #LowPowerDesign #USB-C #WirelessConnectivity #BatteryPowered #RFDesign

8–10 GHz RO4350B RF Power Detector with BFU710F LNA, BAT15-03W Shunt Detector (rotated polarity), MLIN/MLEF Matching, SMA Input, Export-Ready for ADS Simulation and Manufacturing #RotateD1 #ExportReady

This project is a communication device designed with Adafruit's 3857 Microcontroller (U1) and Hoperf's RFM95W-915S2 RF module (U2). The microcontroller interfaces with the RF module via SPI protocol for wireless data transmission. The project also includes a capacitor (C1) and an SMA connector (J1). #LoRa #IoT #project #M4 #Adafruit

This is a smart blind control system reference design designed to automate the operation of window blinds. It utilizes an ESP32 microcontroller for managing control signals and an A4988 stepper motor driver to control blinds' movement. It also includes USB interfacing and LED feedback. #referenceDesign #edge-computing #edgeComputing #espressif #template #blind #DC #motor #servo #esp32 #reference-design

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

ESP32-S3-PLC For Home and Small Industry, include 8 12V SSR to control DC and AC Current, 8 isolated I/O and a ESP32 as a brain with a USB C to upload the code and the connectivity advantages of the ES32 like WIFI and Bluetooth.

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

This project is a Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

This is a smart blind control system reference design designed to automate the operation of window blinds. It utilizes an ESP32 microcontroller for managing control signals and an A4988 stepper motor driver to control blinds' movement. It also includes USB interfacing and LED feedback. #referenceDesign #edge-computing #edgeComputing #espressif #template #blind #DC #motor #servo #esp32 #reference-design

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!