Introducing the ON Semiconductor NB7L86MMNR2G
The ON Semiconductor NB7L86MMNR2G is a cutting-edge, high-performance 2.5 V / 3.3 V Differential Data and Clock D Flip−Flop designed for precision timing applications in advanced digital systems. This product is a testament to ON Semiconductor's commitment to providing innovative solutions that meet the demanding requirements of high-speed data transmission and signal processing.
Key Features
- High-Speed Performance: The NB7L86MMNR2G offers exceptional data rates, making it suitable for applications requiring fast and reliable data handling capabilities.
- Differential Inputs and Outputs: With LVPECL differential inputs and outputs, this device ensures reduced noise and improved signal integrity, which is crucial for maintaining the quality of high-speed signals.
- Power Supply Options: It operates with a supply voltage range of 2.375 V to 3.465 V, providing flexibility in various system designs and ensuring compatibility with both 2.5 V and 3.3 V power supplies.
- Functionality: The flip-flop design incorporates a differential clock and a differential data input along with a pair of complementary outputs, offering versatility in its application across various digital systems.
- Temperature Range: This device is built to perform over an extended industrial temperature range, making it reliable in diverse operating conditions.
- Package: Housed in a compact 16-pin QFN package, the NB7L86MMNR2G saves valuable board space while still delivering high-speed performance.
Applications
The ON Semiconductor NB7L86MMNR2G is ideally suited for a range of high-speed applications, including:
- Point-to-point baseband data transmission
- Backplane and cable data receivers
- High-frequency clock data distribution
- Automated Test Equipment (ATE)
- High-speed ADC and DAC applications
With its robust design and superior performance, the NB7L86MMNR2G from ON Semiconductor is your go-to solution for applications that demand the highest levels of speed and accuracy in data and clock signal processing.