Manufacturer Part Number
TLS2237DLR
Manufacturer
Texas Instruments
Introduction
The Texas Instruments TLS2237DLR is a dual differential line driver designed for high-speed, balanced data transmission applications. It features high-speed operation, low power consumption, and excellent signal integrity, making it suitable for a wide range of digital communication systems.
Product Features and Performance
Dual differential line driver
High-speed operation up to 200 Mbps
Low power consumption
Excellent signal integrity with low skew and low jitter
Wide common-mode range
Operates from a single 3.3V power supply
Industrial temperature range of -40°C to +85°C
Product Advantages
Reliable and robust performance for high-speed data transmission
Efficient power consumption for energy-conscious applications
Versatile compatibility with a variety of digital systems
Suitable for industrial and harsh environments
Key Reasons to Choose This Product
Industry-leading performance and reliability from a trusted manufacturer
Cost-effective solution for high-speed data communication needs
Flexible design enables integration into a wide range of applications
Excellent value proposition for customers seeking a reliable interface solution
Quality and Safety Features
Robust design for reliable operation in challenging environments
Meets industry safety and compliance standards
Backed by Texas Instruments' reputation for quality and innovation
Compatibility
The TLS2237DLR is compatible with a wide range of digital communication systems and can be easily integrated into various applications.
Application Areas
Industrial automation and control systems
Telecommunications equipment
Medical devices
Automotive electronics
Instrumentation and measurement systems
Product Lifecycle
The TLS2237DLR is an active product in our website's sales team's portfolio. There are no announced plans for discontinuation at this time. Customers are advised to check with our website's sales team or their authorized distributors for the latest product availability and information on any potential equivalent or alternative models.