Linear Technology LTC2220CUP-1 Product Overview

The LTC2220CUP-1 is a high-performance, 12-bit, 170Msps analog-to-digital converter (ADC) designed by Linear Technology, now part of Analog Devices, to cater to the demanding needs of communication systems, medical imaging, and industrial data acquisition applications. This cutting-edge ADC combines speed, precision, and power efficiency, making it an ideal choice for a wide range of high-speed signal processing tasks.

Key Features

• Resolution: The LTC2220CUP-1 boasts a 12-bit resolution, providing high fidelity digital representation of the analog input signal.
• Sampling Rate: With a sampling rate of up to 170Msps (mega samples per second), it ensures accurate digitization of high-frequency signals.
• Low Noise Performance: The device features an outstanding signal-to-noise ratio (SNR), making it suitable for applications where signal integrity is paramount.
• Power Efficiency: It operates with reduced power consumption, ideal for power-sensitive designs.
• Differential Inputs: The differential input structure provides improved noise immunity and allows for the accurate capture of small signal variations.
• Flexible Supply Voltages: The ADC supports a range of supply voltages, enabling it to be integrated into various system architectures with ease.

Applications

• Wireless and Wired Broadband Communication
• Medical Imaging Systems
• Industrial Data Acquisition
• Radar and Satellite Communication Systems
• Instrumentation and Test Equipment

Quality and Reliability

The LTC2220CUP-1 is built with Linear Technology's commitment to quality and reliability. It is available in a compact QFN package that ensures a minimal footprint on system boards, making it suitable for space-constrained applications.

Ordering Information

To order or request samples of the LTC2220CUP-1, visit the Analog Devices website or contact your local sales office. With its robust feature set, the LTC2220CUP-1 ADC is poised to enhance the performance and efficiency of your next high-speed data acquisition project.