

Silicon Labs
EFM32LG940F128G-E-QFN64R
Why Choose Us?
Professional Platform
B2B & B2C purchasingDelivery at full speed
1-2 days deliveryWide variety
Original manufacturers365 days guarantee
Responsible qualityTech Specifications
EFM32LG940F128G-E-QFN64R Description
The EFM32LG940F128G-E-QFN64R is a microcontroller unit (MCU) from Silicon Labs. It is a part of the EFM32LG series of low-power, high-performance MCUs based on the ARM Cortex-M3 processor.
Description:
The EFM32LG940F128G-E-QFN64R is a highly integrated, low-power MCU designed for a wide range of applications. It features a 32-bit ARM Cortex-M3 processor with a maximum frequency of 48 MHz, 128 KB of flash memory, and 16 KB of RAM. The MCU is housed in a 64-pin QFN package.
Features:
- ARM Cortex-M3 processor with a maximum frequency of 48 MHz
- 128 KB of flash memory
- 16 KB of RAM
- Low-power operation with a wide range of power-saving features
- Integrated peripherals, including UART, SPI, I2C, and USB
- On-chip debugging and trace capabilities
- Rich set of communication interfaces, including Ethernet, CAN, and Zigbee
- High-resolution ADC and DAC
- Flexible clock management system
- Advanced security features, including AES encryption and secure boot
Applications:
The EFM32LG940F128G-E-QFN64R is suitable for a wide range of applications that require low power consumption and high performance. Some of the potential applications include:
- Industrial control systems
- Home automation and smart home devices
- Medical devices and equipment
- Energy management systems
- IoT devices and gateways
- Portable and wearable electronics
- Automotive applications, such as telematics and infotainment systems
- Wireless communication devices, such as Zigbee and Thread nodes
- Sensor networks and data acquisition systems
- Embedded systems in various industries, including consumer electronics, industrial automation, and healthcare.
The EFM32LG940F128G-E-QFN64R's combination of low power consumption, high performance, and a rich set of features make it an ideal choice for a wide range of embedded applications.



.png)







.png?x-oss-process=image/format,webp/resize,h_32)










