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Name: XC6SLX25T-N3FGG484C
Brand: AMD Xilinx
SKU: XC6SLX25T-N3FGG484C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC6SLX25T-N3FGG484C

Part No.:: XC6SLX25T-N3FGG484C

Manufacturer:: AMD Xilinx

Package:: 484-BBGA

Datasheet:: XC6SLX25T-N3FGG484C.pdf

Description:: IC FPGA 250 I/O 484FBGA

In Stock:: 2866

Quantity:: Add To Cart

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XC6SLX25T-N3FGG484C Specifications

Package/Case:
484-BBGA
Packaging:
Tray
Series:
Spartan®-6 LXT
ProductStatus:
Active
NumberofLABs/CLBs:
1879
NumberofLogicElements/Cells:
24051
TotalRAMBits:
958464
NumberofI/O:
250
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

XC6SLX25T-N3FGG484C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC6SLX25T-N3FGG484C price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for XC6SLX25T-N3FGG484C to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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XC6SLX25T-N3FGG484C information

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XC6SLX25T-N3FGG484C application case analysis in emerging technology fields

XC6SLX25T-N3FGG484C is a field-programmable gate array (FPGA) device manufactured by Xilinx, offering high performance and flexibility for a wide range of applications. It features advanced programmable logic, abundant I/O resources, and integrated IP cores, making it suitable for various embedded systems and digital signal processing (DSP) tasks.

Application Scenario:

In the field of image processing, XC6SLX25T-N3FGG484C can be utilized to implement real-time image recognition systems for applications such as surveillance and autonomous vehicles.

System Architecture:

To develop an image recognition system using XC6SLX25T-N3FGG484C, the following components and steps are essential:

1. Image Acquisition:

Capture images using cameras or sensors and transfer them to the FPGA for processing. Utilize interfaces like MIPI CSI or LVDS to connect cameras to the FPGA board.

2. Image Preprocessing:

Implement preprocessing algorithms on the FPGA to enhance image quality, remove noise, and adjust contrast. Utilize FPGA resources such as DSP slices for efficient processing.

3. Feature Extraction:

Utilize FPGA resources like lookup tables (LUTs) and embedded memory blocks to extract relevant features from the preprocessed images. Implement algorithms such as edge detection or feature point extraction.

4. Neural Network Inference:

Implement a neural network model on the FPGA using dedicated IP cores or custom RTL designs. Utilize resources like distributed RAM and DSP slices for efficient matrix operations required for inference.

5. Decision Making:

Analyze the output of the neural network to make decisions based on the recognized objects or patterns. Utilize FPGA resources for decision-making algorithms and feedback control.

Considerations:

When designing the image recognition system with XC6SLX25T-N3FGG484C, several factors need to be considered:

- Resource Utilization: Optimize resource utilization to fit the image processing and neural network models within the constraints of the FPGA.

- Real-Time Performance: Design efficient algorithms and hardware architectures to meet real-time processing requirements, considering factors like latency and throughput.

- Power Efficiency: Implement power-efficient designs to minimize energy consumption, especially for embedded applications with limited power budgets.

- System Integration: Ensure seamless integration with other system components such as sensors, actuators, and communication interfaces for a complete solution.

- Scalability and Flexibility: Design the system with scalability and flexibility in mind to accommodate future updates or modifications to the image processing algorithms or neural network models.

Conclusion:

XC6SLX25T-N3FGG484C FPGA offers a powerful platform for implementing high-performance and intelligent image recognition systems, enabling a wide range of applications in surveillance, automotive, and industrial automation with its flexibility and versatility.

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6. What is the process for return or replacement of XC6SLX25T-N3FGG484C?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the XC6SLX25T-N3FGG484C we delivered, we will accept the replacement or return of the XC6SLX25T-N3FGG484C only when all of the below conditions are fulfilled:

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

(2)We are informed of the defect described above within 90 days after the delivery of XC6SLX25T-N3FGG484C.

(3)The PartNo is unused and only in the original unpacked packaging.

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(1)Inform us within 90 days

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