TC7109ACKW Allicdata Electronics
Allicdata Part #:

TC7109ACKW-ND

Manufacturer Part#:

TC7109ACKW

Price: $ 7.22
Product Category:

Integrated Circuits (ICs)

Manufacturer: Microchip Technology
Short Description: IC ADC 12BIT HANDSHAKE 44-MQFP
More Detail: 12 Bit Analog to Digital Converter 1 Input 1 Dual ...
DataSheet: TC7109ACKW datasheetTC7109ACKW Datasheet/PDF
Quantity: 1000
96 +: $ 6.56687
Stock 1000Can Ship Immediately
$ 7.22
Specifications
Number of A/D Converters: 1
Base Part Number: TC7109A
Supplier Device Package: 44-MQFP (10x10)
Package / Case: 44-QFP
Operating Temperature: 0°C ~ 70°C
Features: --
Voltage - Supply, Digital: 5V
Voltage - Supply, Analog: 5V
Reference Type: External
Architecture: Dual Slope
Series: --
Ratio - S/H:ADC: --
Configuration: ADC
Data Interface: Parallel
Input Type: Differential
Number of Inputs: 1
Sampling Rate (Per Second): 30
Number of Bits: 12
Part Status: Active
Packaging: Tray 
Description

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Data Acquisition - Analog to Digital Converters (ADCs) have become an integral part of our daily lives, allowing us to interact with and control physical objects in ways that would be impossible otherwise. The TC7109ACKW is one such device that plays an essential role in digital signal acquisition when applied correctly. This article will discuss the application fields and working principles of this device in detail.

The TC7109ACKW is a high-performance, low-power, 16-bit, Delta Sigma analog-to-digital converter (ADC). It is based on advanced Delta-Sigma architecture and operates with a low-noise signal-to-noise ratio (SNR). Its versatility allows it to be used in a variety of applications, with the most common being for signal acquisition in medical, industrial, and automotive systems.

When it comes to medical applications, the TC7109ACKW’s low-noise architecture ensures accurate data acquisition of vital signs. This makes it a perfect device for use in medical measurement and monitoring systems, such as patient vital signs monitors and ultrasound imaging systems. It can also be used in industrial applications, where it can be used to digitize signals from various types of sensors, such as strain gauges, temperature sensors, and pressure sensors. This data is then used to control automated industrial processes and machines.

In automotive applications, the TC7109ACKW can be used to acquire signals from various automotive sensors, such as engine speed sensors, exhaust sensors, and transmission speed sensors. This data is used to monitor and control vehicle performance in a wide range of automotive systems, such as remote engine starters, electronic stability control systems, and automatic transmissions.

The TC7109ACKW operates with a low-noise architecture that minimizes signal distortion and preserves full signal integrity. It is designed to convert analog signals into digital signals with precision and accuracy. This device uses a delta-sigma architecture, which is a multi-step process where the analog input is first sampled/converted, then quantized and then converted into a pulsewidth-modulated signal with a built-in low-pass filter. Finally, the pulse width modulation signal is converted into a digital signal. This device offers a wide input range of between 0 to 5 Volts and a sampling rate of up to 500 ksps.

The TC7109ACKW adopts an innovative, low-power architecture that ensures the reliable operation of devices even under extremely power constrained conditions. This makes it an ideal device for embedded systems and battery-powered applications. It is equipped with a built-in temperature and power monitoring system that provides reliable operation, even as external temperatures and power levels change.

Overall, the TC7109ACKW is an excellent device for signal acquisition applications, with its low-power, low-noise architecture and wide input range enabling it to be used in a variety of medical, industrial, and automotive systems. It is designed with a compact form-factor and utilizes innovative power monitoring techniques to ensure reliable operation even under extreme power conditions.

The specific data is subject to PDF, and the above content is for reference

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