Allicdata Part #: | 296-34884-2-ND |
Manufacturer Part#: |
ADS131E06IPAGR |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Texas Instruments |
Short Description: | IC AFE 16/24BIT 64KSPS 64TQFP |
More Detail: | 6 Channel AFE 16, 24 Bit 13.5mW 64-TQFP (10x10) |
DataSheet: | ADS131E06IPAGR Datasheet/PDF |
Quantity: | 1000 |
Series: | -- |
Packaging: | Tape & Reel (TR) |
Part Status: | Active |
Number of Bits: | 16, 24 |
Number of Channels: | 6 |
Power (Watts): | 13.5mW |
Voltage - Supply, Analog: | 2.7 V ~ 5.25 V |
Voltage - Supply, Digital: | 1.8 V ~ 3.6 V |
Package / Case: | 64-TQFP |
Supplier Device Package: | 64-TQFP (10x10) |
Base Part Number: | ADS131E06 |
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Data Acquisition – Analog Front End (AFE) is a technology used to increase the accuracy and speed of the electrical signals. This type of technology is often used in a range of applications including automotive, energy, and medical applications. The ADS131E06IPAGR is a highly integrated analog front-end which combines a low-noise very low-power Sigma Delta ADC (SDADC) and an anti-aliasing filter. This article discusses the application field and working principle of the ADS131E06IPAGR.
The ADS131E06IPAGR is a compact and highly integrated analog front-end solution which is mainly used for low-noise analog signal acquisition. It is ideal for use in bio-medical, consumer and industrial applications. Its low-power consumption and low voltage operation makes it suitable for use in battery-powered systems. Its specifications allow for high accuracy and resolution even in noisy environments. Thanks to its integrated filter, it ensures that only the desired signal is passed through without any unwanted noise.
The application field of the ADS131E06IPAGR includes automotive, consumer, medical, and industrial uses. In automotive applications, it can be used for the acquisition of signals generated by pressure, temperature, and other sensors. In consumer applications, it can be used to acquire data from watches, phones, and other consumer devices. In medical applications, it can be used to acquire data from medical equipment such as ECG, EEG, and other medical devices. Lastly, it can be used in industrial settings as well, where it can be used to acquire data from industrial machines, environmental sensors, and other factory settings.
The ADS131E06IPAGR works on the principle of a Sigma-Delta ADC (SDADC). An SDADC is an analog-to-digital converter which works by using a series of pulses to encode the analog input. When an input is applied to the converter, it is sampled at a given sampling rate. The pulses are then fed to a comparator which compares the sample to a reference voltage. If the sample is higher than the reference voltage, a “high” is outputted. If the sample is lower than the reference voltage, a “low” is outputted. The output of the comparator is then fed to a digital filter which is used to reduce noise and eliminate unwanted frequencies.
The ADS131E06IPAGR also features an integrated anti-aliasing filter. This filter is used to reduce any noise or unwanted frequencies which may be present in the input signal. This is done by eliminating any high frequency components which may be present in the signal before it is sent to the ADC. This not only improves the accuracy of the conversion, but also reduces the amount of power required to process the signal.
The ADS131E06IPAGR is an integrated analog front-end solution which combines a low-noise SDADC and an anti-aliasing filter. It is mainly used for low-noise analog signal acquisition and is suitable for a variety of applications including automotive, consumer, medical, and industrial uses. Its low power consumption and low voltage operation makes it ideal for use in battery-powered systems. It works on the principle of an SDADC, which uses a series of pulses to encode the analog input and a digital filter to reduce noise and eliminate unwanted frequencies. Its integrated anti-aliasing filter further improves the accuracy of the ADC conversion by eliminating any high frequency components which may be present in the signal.
The specific data is subject to PDF, and the above content is for reference
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