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Experimental product description generated by artificial intelligence
LM393D SO8 Integrated Circuit
The LM393D SO8 from STMICROELECTRONICS is a dual voltage comparator linear integrated circuit. This low-power device is designed for a wide range of applications where precise voltage comparison is needed.
Key Features
- Low power consumption
- Wide single-supply voltage range
- Low input bias current
- Low input offset voltage
- Input common-mode voltage range includes ground
- TTL, DTL, ECL, MOS, and CMOS compatible outputs
- Available in various packages including SO-8
Functionality
The LM393D contains two independent comparators. Each comparator compares two input voltages and outputs a high or low signal depending on which input is higher. This makes it ideal for a variety of sensing and threshold detection applications.
Applications
This versatile component finds use in numerous applications, including:
- Basic comparators
- Driving TTL and CMOS circuits
- Low-frequency operational amplifiers
- Transducer amplifiers
- Zero-crossing detectors
- Limit comparators
- Crystal-controlled oscillators
Why Choose LM393D SO8?
The LM393D offers a compelling combination of features that make it a preferred choice for many applications:
- Low power consumption: Reduces energy needs and extends battery life in portable devices.
- Wide voltage range: Provides flexibility for various power supply configurations.
- High accuracy: Ensures reliable voltage comparisons.
- Versatile packaging: Offers compatibility with various circuit designs.
The LM393D SO8 is a reliable and cost-effective solution for a wide range of voltage comparison tasks.
This description is generated using artificial intelligence (AI) and may differ from the actual product. Common AI errors may include:
- Inaccurate product features: some technical specifications, colors, sizes or other parameters may be inaccurate or omitted.
- Incorrect compatibility information: AI may provide incorrect information about the compatibility of products with other devices or systems.
- Overly Optimistic Functions: in some cases functions may be provided whose product iš doesnt really have.
- Name or Model Discrepancies: AI may misrepresent the product name or model.
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