Manufacturer Part Number
TLV0832IDR
Manufacturer
texas-instruments
Introduction
The TLV0832IDR is an 8-bit Analog to Digital Converter (ADC) offering high performance in data acquisition with low power consumption.
Product Features and Performance
8-bit resolution
Sampling Rate: 44.7k samples per second
Single or dual input channel configuration
Supports Differential and Single-Ended inputs
SPI data interface
SAR (Successive Approximation Register) architecture
External voltage reference required
Operates with analog supply voltage ranging from 2.7V to 3.6V
Digital supply voltage also from 2.7V to 3.6V
Suitable for operating temperatures from -40°C to 85°C
Product Advantages
High sampling rate for accurate data conversion
Flexibility in input signal type handling
Low voltage operation minimizes power usage
Can operate under extreme temperature conditions
Key Technical Parameters
Number of Bits: 8
Sampling Rate: 44.7k samples/second
Input Type: Differential, Single Ended
Voltage - Supply, Analog: 2.7V ~ 3.6V
Voltage - Supply, Digital: 2.7V ~ 3.6V
Operating Temperature: -40°C ~ 85°C
Quality and Safety Features
Built for durability with a temperature range allowance for varied environmental conditions
Robust Surface Mount package: 8-SOIC
Compatibility
SPI interface ensures compatibility with most microcontrollers
Application Areas
Consumer Electronics
Data Logging Systems
Portable Instrumentation
Industrial Measurement and Control
Product Lifecycle
The product status is Active, indicating ongoing production without near discontinuation. Suitable replacements or upgrades are available as newer models are developed.
Several Key Reasons to Choose This Product
High-resolution ADC conducive for precise data acquisition tasks
High-speed operation enabling timely and efficient data processing
Low power requirements, ideal for battery-operated or power-sensitive applications
Flexibility in interfacing with various microcontrollers via SPI
Operational stability across a wide range of temperature conditions
Cost-effectiveness for budget-sensitive projects in developing data-intensive applications