| Allicdata Part #: | EVAL-ADN469XEHDEBZ-ND |
| Manufacturer Part#: |
EVAL-ADN469XEHDEBZ |
| Price: | $ 49.22 |
| Product Category: | Development Boards, Kits, Programmers |
| Manufacturer: | Analog Devices Inc. |
| Short Description: | EVAL BOARD FOR ADN469XEHD |
| More Detail: | ADN4696 M-LVDS, Transceiver Interface Evaluation B... |
| DataSheet: | EVAL-ADN469XEHDEBZ Datasheet/PDF |
| Quantity: | 2 |
| 1 +: | $ 44.29530 |
| Series: | -- |
| Part Status: | Active |
| Type: | Interface |
| Function: | M-LVDS, Transceiver |
| Embedded: | No |
| Utilized IC / Part: | ADN4696 |
| Primary Attributes: | Differential Inputs |
| Supplied Contents: | Board(s) |
| Secondary Attributes: | Half-Duplex |
| Base Part Number: | ADN469 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
Evaluation and Demonstration Boards and Kits are designed to showcase the features and performance of modern electronic components and integrated circuits. The EVAL-ADN469XEHDEBZ is one such kit, specifically designed to showcase the integrated circuits used in a variety of industrial, commercial, consumer, and medical applications. This board contains a high-performance, low-power System-on-Chip (SoC) which integrates a host of applications, including an ARM Cortex M4 processor, a single-centric sensor, and a custom analog frontend. This board offers developers an economical and rapid path to evaluating the performance and features of the chip.
The EVAL-ADN469XEHDEBZ uses a SRAM (Synchronous Random Access Memory) system, in which information is written into the RAM in a clock-driven sequence. The board can be configured to operate in either single cycle mode, or continuous cycle mode. In single cycle mode, the board is driven by a single clock. In continuous cycle mode, the board is driven by an external clock signal, allowing the board to be adapted to different application requirements. The board can also be set to operate in either a “burst mode” or “free mode”, which can be used to optimize performance in different stages of the development process.
Analog Frontend
The EVAL-ADN469XEHDEBZ features a custom analog front end that integrates multiple analog components into a single circuit. This front end includes an Analog-to-Digital Converter (ADC), a Digital-to-Analog Converter (DAC), a Voltage-Controlled Oscillator (VCO), and a digital filter. These components integrate to provide a complete analog signal processing solution for the board.
The ADC and DAC allow the board to convert analog input signals into digital output signals, and visa versa, providing an interface to the external world. The on-board VCO is used to generate timing, and the digital filter allows for noise reduction and edge detection. These components are combined to provide an end-to-end solution that can be easily adapted for different application requirements.
Applications
The EVAL-ADN469XEHDEBZ is specifically designed for use in a wide range of industrial, commercial, consumer, and medical applications. Its flexibility allows it to be adapted for use in various automation and control systems, as well as in data acquisition and communication systems. The kit is particularly well-suited for use in IoT applications, as it is capable of providing an end-to-end solution for a range of device types. Additionally, the board is a suitable platform for artificial intelligence applications, as it can facilitate the integration of embedded machine learning capabilities.
Conclusion
The EVAL-ADN469XEHDEBZ is a powerful and versatile evaluation kit designed specifically for use in a wide range of applications. Its integrated SRAM system, coupled with its high-performance analog front end, provides a complete solution that can be adapted to meet the needs of different applications. Additionally, the kit is particularly well-suited for use in IoT applications, as it provides an end-to-end solution for a range of device types. Finally, the kit is capable of providing an ideal platform for artificial intelligence applications, enabling the integration of embedded machine learning capabilities.
The specific data is subject to PDF, and the above content is for reference
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EVAL-ADN469XEHDEBZ Datasheet/PDF