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Name: LFE2-12SE-6QN208C
Brand: Lattice Semiconductor Corporation
SKU: LFE2-12SE-6QN208C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-12SE-6QN208C

Part No.:: LFE2-12SE-6QN208C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 208-BFQFP

Datasheet:: LFE2-12SE-6QN208C.pdf

Description:: IC FPGA 131 I/O 208QFP

In Stock:: 3322

Quantity:: Add To Cart

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LFE2-12SE-6QN208C Specifications

Package/Case:
208-BFQFP
Packaging:
Tray
Series:
ECP2
ProductStatus:
Active
NumberofLABs/CLBs:
1500
NumberofLogicElements/Cells:
12000
TotalRAMBits:
226304
NumberofI/O:
131
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFE2-12SE-6QN208C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-12SE-6QN208C 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 LFE2-12SE-6QN208C 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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LFE2-12SE-6QN208C information

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LFE2-12SE-6QN208C application case analysis in emerging technology fields

LFE2-12SE-6QN208C is a Field-Programmable Gate Array (FPGA) chip known for its high performance and versatility, ideal for a wide range of applications in various industries.

Application Scenario:

In autonomous robotics, LFE2-12SE-6QN208C can be utilized to enhance navigation and decision-making capabilities, leading to more efficient and intelligent robotic systems.

Algorithm Acceleration:

With its powerful processing capabilities, LFE2-12SE-6QN208C can accelerate complex algorithms used in machine learning and computer vision tasks, enabling real-time analysis and decision-making in robotics applications.

Sensor Fusion:

Integrating various sensors, such as LiDAR, cameras, and inertial measurement units (IMUs), LFE2-12SE-6QN208C can perform sensor fusion to improve navigation accuracy and obstacle detection in autonomous robots, making them more intelligent and adaptive.

Parallel Processing:

Utilizing its parallel processing architecture, LFE2-12SE-6QN208C can efficiently handle multiple tasks simultaneously, such as sensor data processing, path planning, and control, resulting in faster response times and improved overall performance of robotic systems.

Energy Efficiency:

By optimizing algorithms and utilizing power-saving features, LFE2-12SE-6QN208C can contribute to the energy efficiency of autonomous robots, extending their operating time and reducing the need for frequent recharging or battery replacement.

Considerations:

When implementing LFE2-12SE-6QN208C in robotics applications, it's essential to consider:

- System Integration: Ensure seamless integration of the FPGA with other hardware components and software systems in the robotic platform.

- Real-Time Constraints: Design algorithms and hardware configurations to meet real-time performance requirements, especially in safety-critical applications.

- Scalability: Plan for scalability to accommodate future enhancements or upgrades in robotic functionalities and capabilities.

- Reliability and Fault Tolerance: Implement mechanisms to ensure the reliability and fault tolerance of the FPGA-based system, minimizing the risk of system failures or malfunctions.

- Compliance: Adhere to relevant industry standards and regulations, particularly regarding safety and interoperability, to ensure the deployment of compliant and safe robotic systems.

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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.

(2)We are informed of the defect described above within 90 days after the delivery of LFE2-12SE-6QN208C.

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

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