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Name: XCV1600E-6FG1156C
Brand: AMD Xilinx
SKU: XCV1600E-6FG1156C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCV1600E-6FG1156C

Part No.:: XCV1600E-6FG1156C

Manufacturer:: AMD Xilinx

Package:: 1156-BBGA

Datasheet:: XCV1600E-6FG1156C.pdf

Description:: IC FPGA 724 I/O 1156FBGA

In Stock:: 3467

Quantity:: Add To Cart

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XCV1600E-6FG1156C Specifications

Package/Case:
1156-BBGA
Packaging:
Tray
Series:
Virtex®-E
ProductStatus:
Obsolete
NumberofLABs/CLBs:
7776
NumberofLogicElements/Cells:
34992
TotalRAMBits:
589824
NumberofI/O:
724
NumberofGates:
2188742
Voltage-Supply:
1.71V ~ 1.89V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

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XCV1600E-6FG1156C information

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Basic introduction and simple engineering application of XCV1600E-6FG1156C

XCV1600E-6FG1156C is a field-programmable gate array (FPGA) manufactured by Xilinx, renowned for its high capacity and versatility in digital design applications. It belongs to the Virtex-6 family of FPGAs, offering a rich set of features suitable for a wide range of projects.

Introduction:

XCV1600E-6FG1156C is a powerful FPGA with 1,572,000 logic cells, making it suitable for complex digital designs requiring high logic density and computational capabilities. It features advanced routing resources, configurable logic blocks (CLBs), and embedded block RAMs (BRAMs) to efficiently implement various algorithms and signal processing tasks.

Application:

In digital signal processing (DSP) applications, XCV1600E-6FG1156C can be utilized for real-time audio and video processing tasks. Let's explore a simple project demonstrating its application in image processing.

Project: Image Edge Detection

Objective: Implement a basic edge detection algorithm on a grayscale image using XCV1600E-6FG1156C FPGA.

Experimental Setup:

1. Image Acquisition: Obtain a grayscale image and convert it into a suitable digital format compatible with the FPGA. You can use image editing software to prepare the image and save it in a format such as BMP or PNG.

2. FPGA Configuration: Develop the edge detection algorithm using a hardware description language (HDL) such as Verilog or VHDL. Utilize the resources of XCV1600E-6FG1156C, including CLBs and BRAMs, to implement the algorithm efficiently.

3. Image Processing: Implement the edge detection algorithm on the FPGA, where the image is processed pixel by pixel to identify edges and highlight them.

4. Display Output: Connect a display device, such as a monitor or an LCD panel, to the FPGA to visualize the processed image. Utilize the output interfaces of XCV1600E-6FG1156C to drive the display and render the edge-detected image.

5. Verification: Verify the effectiveness of the edge detection algorithm by comparing the processed image with the original grayscale image. Assess the accuracy of edge detection and make necessary adjustments to the algorithm if required.

Conclusion:

XCV1600E-6FG1156C FPGA offers immense potential for implementing advanced digital signal processing algorithms, making it a valuable tool for projects ranging from image processing to telecommunications. By exploring projects like image edge detection, beginners can gain hands-on experience and unlock the capabilities of this versatile FPGA.

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(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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