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Name: LFE3-150EA-9FN672I
Brand: Lattice Semiconductor Corporation
SKU: LFE3-150EA-9FN672I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE3-150EA-9FN672I

Part No.:: LFE3-150EA-9FN672I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 672-BBGA

Datasheet:: LFE3-150EA-9FN672I.pdf

Description:: IC FPGA 380 I/O 672FPBGA

In Stock:: 2334

Quantity:: Add To Cart

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LFE3-150EA-9FN672I Specifications

Package/Case:
672-BBGA
Packaging:
Tray
Series:
ECP3
ProductStatus:
Not For New Designs
NumberofLABs/CLBs:
18625
NumberofLogicElements/Cells:
149000
TotalRAMBits:
7014400
NumberofI/O:
380
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE3-150EA-9FN672I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE3-150EA-9FN672I 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 LFE3-150EA-9FN672I 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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LFE3-150EA-9FN672I information

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LFE3-150EA-9FN672I application case analysis in emerging technology fields

LFE3-150EA-9FN672I is a powerful FPGA (Field-Programmable Gate Array) device renowned for its versatility and high-performance capabilities. It is commonly utilized in a wide range of applications to enhance efficiency and intelligence.

Application Scenario:

In the domain of autonomous vehicles, LFE3-150EA-9FN672I plays a pivotal role in enabling advanced functionalities for navigation, perception, and decision-making processes.

Integration in Autonomous Vehicles:

1. Sensor Fusion: LFE3-150EA-9FN672I integrates data from various sensors such as LiDAR, radar, and cameras, utilizing its parallel processing capabilities to generate a comprehensive understanding of the vehicle's surroundings.

2. Real-Time Processing: Equipped with high-speed interfaces and dedicated processing blocks, LFE3-150EA-9FN672I performs real-time data processing tasks, ensuring rapid decision-making and response in dynamic driving scenarios.

3. Machine Learning Acceleration: The FPGA's reconfigurable architecture is leveraged to accelerate machine learning algorithms for tasks like object detection, classification, and path planning, enhancing the vehicle's intelligence and adaptability.

4. Customizable Control Logic: Designers utilize the flexibility of LFE3-150EA-9FN672I to implement customizable control logic tailored to specific vehicle requirements, enabling precise control over propulsion, braking, and steering systems.

5. Redundancy and Safety: FPGAs like LFE3-150EA-9FN672I are employed to implement redundant systems for critical functions such as emergency braking and collision avoidance, enhancing overall vehicle safety and reliability.

Considerations:

- Power Efficiency: Efficient utilization of LFE3-150EA-9FN672I's resources and power management techniques are crucial to ensure optimal energy consumption in battery-powered autonomous vehicles.

- Fault Tolerance: Implementing fault-tolerant designs and robust error detection mechanisms is essential to mitigate the impact of potential FPGA failures on vehicle operation.

- Regulatory Compliance: Adhering to industry standards and regulations for automotive electronics ensures that FPGA-based systems in autonomous vehicles meet safety and performance requirements.

- System Integration: Seamless integration of the FPGA with other vehicle components and communication networks requires careful system-level design and testing to guarantee interoperability and reliability.

- Update and Maintenance: Provisioning mechanisms for remote FPGA firmware updates and maintenance procedures are necessary to address evolving functional requirements and address potential security vulnerabilities.

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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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