ADS8323EVM Allicdata Electronics
Allicdata Part #:

296-19918-ND

Manufacturer Part#:

ADS8323EVM

Price: $ 71.96
Product Category:

Development Boards, Kits, Programmers

Manufacturer: Texas Instruments
Short Description: EVAL MOD FOR ADS8323
More Detail: ADS8323 microPOWER™ 16 Bit 500k Samples per Second...
DataSheet: ADS8323EVM datasheetADS8323EVM Datasheet/PDF
Quantity: 3
1 +: $ 64.76400
Stock 3Can Ship Immediately
$ 71.96
Specifications
Series: microPOWER™
Part Status: Active
Number of A/D Converters: 1
Number of Bits: 16
Sampling Rate (Per Second): 500k
Data Interface: Parallel
Input Range: 0 ~ 5 V
Power (Typ) @ Conditions: 85mW @ 500kSPS
Utilized IC / Part: ADS8323
Supplied Contents: Board(s)
Description

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The ADS8323EVM is an evaluation module designed to measure the performance of ADS8323, a low power, 14-bit 0.2 MSPS analog to digital converter (ADC). It is a single-channel, serial output, successive approximation register (SAR) ADC. It is integrated with an on-chip sample-and-hold amplifier for isolating and converting the signal of varying amplitude and frequency from an analog source. This Evaluation Board is designed to work with analog input signals up to ±3.3V and output signals up to ±5V. The board also provides a wide range of on-board components like switches, jumpers, connectors, etc. to facilitate the evaluation of the device’s performance.

The ADS8323EVM is designed for use in applications such as medical imaging, industrial automation, telecom, communication, consumer electronics, automotive, aerospace, ultrasound, and artificial intelligence. In medical imaging applications, it can be used to measure the X-rays, blood pressure, and other physiological signals. In industrial automation and telecom applications, it can be used to measure temperature, voltage, current, and various mechanical signals. In consumer electronics applications, it can be used to measure ECG signals, acoustic signals, image sensors, and other audio-visual signals. Additionally, the ADS8323EVM can be used in various automotive applications, such as monitoring brake force, fuel level, and exhaust temperature.

The ADS8323EVM consists of digital and analog functions on a single board. It is equipped with a Digital-to-Analog converter (DAC) to provide reference signals to the ADC. The ADC is also integrated with an onboard sample-and-hold amplifier for isolating and converting the analog signal from its source. Moreover, it has gain block featuring up to ±5V or ±10V gain programmability. The digital portion of the ADS8323EVM consists of a Spartan-3E FPGA, an Atmel AT24C04C EEPROM, and an FT4232H USB-UART interface bridge for connecting to a computer. Additionally, the board provides several I/Os for connecting various peripheral devices for analog-to-digital conversion such as Opto/Magnetic Isolators, temperature sensors, humidity sensors, ECG electrodes, and others.

The ADS8323EVM works on the principles of successive approximation. As the name suggests, successive approximation is a method where certain approximation of the input analog signal is determined with each iteration so in order to get the exact measurement of the analog signal. The ADC first acquires an analog signal from the input source through its sample-and-hold amplifier. It then applies a certain voltage bias to the analog signal which is further converted into a corresponding digital value. Finally, the digital output is fed to the FPGA for further processing. The speed and accuracy of the conversion process are heavily dependent on the sample rate of the ADC.

In summary, the ADS8323EVM is a versatile evaluation module designed to evaluate the performance of 14-bit, 0.2 MSPS SAR ADC. It has a wide range of on-board components such as DAC, FPGA, USB-UART interface bridge, isolated jumper connector board, SPI and I2C interface, and analog inputs, making the module suitable for a myriad of applications ranging from medical imaging to consumer electronics. The module works on the principles of successive approximation, where the analog signal is acquired and converted into a digital value with each iteration. This helps in getting the exact measurement of the analog signal.

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

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