Allicdata Part #: | DC919A-C-ND |
Manufacturer Part#: |
DC919A-C |
Price: | $ 142.80 |
Product Category: | Development Boards, Kits, Programmers |
Manufacturer: | Linear Technology/Analog Devices |
Short Description: | BOARD DEMO 16BIT MSPS LTC2205 |
More Detail: | LTC2205 - 16 Bit 65M Samples per Second Analog to ... |
DataSheet: | DC919A-C Datasheet/PDF |
Quantity: | 4 |
1 +: | $ 128.52000 |
Series: | -- |
Part Status: | Active |
Number of A/D Converters: | 1 |
Number of Bits: | 16 |
Sampling Rate (Per Second): | 65M |
Data Interface: | Parallel |
Input Range: | 1.5 ~ 2.25 Vpp |
Power (Typ) @ Conditions: | 610mW @ 65MSPS |
Utilized IC / Part: | LTC2205 |
Supplied Contents: | Board(s) |
Base Part Number: | LTC2205 |
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
The DC919A-C is an evaluation board used in analog to digital converters (ADCs), which captures and records analog signals (such as audio or images) and transforms them into digital signals that can be used by computer systems for data storage, processing and analyzing. This evaluation board is comprised of four separate components: the board itself, the accompanying software, an accompanying signal conditioner and a 25-pin d-sub connector that is used to connect the board to the target device.
The DC919A-C board is designed for use both in industrial and research settings for capturing, recording, and processing analog signals. It allows users to perform measurements, analysis, and simulations of analog signals via the input/output interface. The board also provides the user with an efficient means to connect to various microprocessors, and to acquire, store, and manipulate the digital data. The board is operated by an A/D converter, which converts analog voltages into digital values which can be read by a computer. The DC919A-C board has two input/output ports, which are used to manipulate the data.
The accompanying DC919A-C software provides the user with support for eight analog input channels and a digital signal interface for control. Additionally, the software provides a user-friendly environment for performing various measurement and simulation operations. The software also provides support for a range of conversion methods, such as linear, logarithmic, and exponential, and includes features for specialized signal processing, including signal filtering, peak detection, and signal reconstruction. Finally, the software supports various communication protocols, including USB, IEEE-1394, CANbus, and Bluetooth.
To optimize the performance of the DC919A-C evaluation board, a signal conditioner is used to condition the input signals for conversion into digital values. The conditioner consists of hardware (i.e., opamps) and software components. The hardware components add gain, attenuate noise, and adjust the gain of the input signal. The software component adjusts the gain and dynamic range of the input signal and is responsible for providing the user with a graphical user interface (GUI) for real-time monitoring and analysis.
The DC919A-C evaluation board is connected to the target device via the 25-pin d-sub connector. The connector is used to transmit the analog input signals from the target device to the board, and to transfer the digital output signals from the board to the target device. Additionally, the connector is used to transfer the real-time data acquired by the board to the accompanying software. The total count of the converter pins is 28, which provides for data, control, and sample and hold signals.
In conclusion, the DC919A-C evaluation board is an extremely versatile and efficient evaluation board for use in analog to digital conversion. It allows users to perform measurements, simulations, and analysis of analog signals, and provides a convenient and user-friendly means to connect to various target devices and manipulate the captured digital data. The accompanying DC919A-C software and signal conditioner further enhances the board’s capabilities by providing additional features and support for specialized signal processing.
The specific data is subject to PDF, and the above content is for reference
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