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Name: LFXP2-8E-7QN208C
Brand: Lattice Semiconductor Corporation
SKU: LFXP2-8E-7QN208C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFXP2-8E-7QN208C

Part No.:: LFXP2-8E-7QN208C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 208-BFQFP

Datasheet:: LFXP2-8E-7QN208C.pdf

Description:: IC FPGA 146 I/O 208QFP

In Stock:: 2548

Quantity:: Add To Cart

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LFXP2-8E-7QN208C Specifications

Package/Case:
208-BFQFP
Packaging:
Tray
Series:
XP2
ProductStatus:
Active
NumberofLABs/CLBs:
1000
NumberofLogicElements/Cells:
8000
TotalRAMBits:
226304
NumberofI/O:
146
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFXP2-8E-7QN208C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFXP2-8E-7QN208C 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 LFXP2-8E-7QN208C 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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LFXP2-8E-7QN208C information

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LFXP2-8E-7QN208C application case analysis in emerging technology fields

LFXP2-8E-7QN208C is a field-programmable gate array (FPGA) device manufactured by Lattice Semiconductor, offering high performance and flexibility for diverse applications. It features low power consumption, ample logic resources, and various I/O options, making it suitable for a wide range of tasks.

Application Scenario:

In autonomous vehicles, LFXP2-8E-7QN208C can be utilized to process sensor data in real-time and make intelligent decisions for navigation, obstacle avoidance, and vehicle control.

System Architecture:

To implement autonomous vehicle control using LFXP2-8E-7QN208C, the following architecture can be adopted:

1. Sensor Interface:

Connect various sensors such as LiDAR, cameras, and ultrasonic sensors to the FPGA's GPIO pins or dedicated high-speed interfaces. Utilize appropriate signal conditioning circuits to ensure accurate sensor data acquisition.

2. Data Processing:

Implement custom algorithms or neural networks within the FPGA fabric to process sensor data, perform object detection, and analyze the vehicle's surroundings in real-time.

3. Decision Making:

Utilize the FPGA's computational capabilities to make decisions based on processed sensor data, such as adjusting vehicle speed, steering angle, and braking actions to ensure safe and efficient navigation.

4. Actuator Control:

Drive actuators such as motors, servos, and brakes using the FPGA's GPIO pins or dedicated interfaces to translate decision outputs into physical vehicle movements.

5. Communication:

Implement communication protocols such as CAN bus or Ethernet to facilitate data exchange with other vehicle subsystems, external control systems, or the cloud for fleet management and remote monitoring.

Advantages:

By leveraging LFXP2-8E-7QN208C in autonomous vehicles, several advantages can be achieved:

- Real-time Processing: The FPGA's parallel processing capabilities enable rapid analysis of sensor data, enabling quick response to changing road conditions and obstacles.

- Flexibility: The reprogrammable nature of FPGAs allows for easy updates and modifications to algorithms, adapting to evolving vehicle requirements and regulatory standards.

- Power Efficiency: LFXP2-8E-7QN208C offers low power consumption, extending the vehicle's battery life and reducing overall energy costs.

- Integration: The FPGA's integration of multiple functions onto a single chip simplifies system design, reduces component count, and enhances reliability.

- Scalability: FPGAs can scale to accommodate increasing computational demands as autonomous vehicle technologies advance, ensuring future-proof solutions.

Considerations:

When deploying LFXP2-8E-7QN208C in autonomous vehicles, it's crucial to consider:

- Safety and Reliability: Implement comprehensive testing and validation procedures to ensure the system operates safely and reliably under all conditions.

- Security: Employ robust security measures to protect the FPGA-based control system from cyber threats and unauthorized access, safeguarding vehicle integrity and passenger safety.

- Compliance: Ensure compliance with automotive industry standards and regulations, such as ISO 26262, to meet safety and quality requirements for autonomous driving systems.

- Environmental Factors: Account for environmental factors such as temperature extremes, vibration, and moisture, ensuring the FPGA operates reliably in harsh automotive environments.

LFXP2-8E-7QN208C FAQ

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6. What is the process for return or replacement of LFXP2-8E-7QN208C?

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 LFXP2-8E-7QN208C we delivered, we will accept the replacement or return of the LFXP2-8E-7QN208C 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 LFXP2-8E-7QN208C.

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

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