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Name: LFE2-12SE-6QN208I
Brand: Lattice Semiconductor Corporation
SKU: LFE2-12SE-6QN208I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-12SE-6QN208I

Part No.:: LFE2-12SE-6QN208I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 208-BFQFP

Datasheet:: LFE2-12SE-6QN208I.pdf

Description:: IC FPGA 131 I/O 208QFP

In Stock:: 3843

Quantity:: Add To Cart

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LFE2-12SE-6QN208I 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:
-40°C ~ 100°C (TJ)

LFE2-12SE-6QN208I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-12SE-6QN208I 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-6QN208I 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-6QN208I information

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LFE2-12SE-6QN208I application case analysis in emerging technology fields

LFE2-12SE-6QN208I is a field-programmable gate array (FPGA) with advanced features, ideal for a wide range of high-performance applications. It offers superior flexibility, high-speed processing capabilities, and low power consumption.

Application Scenario:

In the field of autonomous robotics, LFE2-12SE-6QN208I plays a pivotal role in enabling intelligent decision-making and real-time control. Let's delve into how this FPGA enhances efficiency and intelligence in robotic applications.

Robotic Navigation:

With its powerful processing capabilities, LFE2-12SE-6QN208I can efficiently handle complex algorithms for simultaneous localization and mapping (SLAM), enabling robots to navigate autonomously in dynamic environments. By integrating sensor data from cameras, LiDAR, and inertial measurement units (IMUs), the FPGA processes information swiftly to generate accurate maps and localize the robot in real-time.

Sensor Fusion:

Using LFE2-12SE-6QN208I, robots can seamlessly fuse data from multiple sensors to enhance perception capabilities. The FPGA's reconfigurable architecture allows for parallel processing of sensor inputs, facilitating sensor fusion algorithms for robust object detection, tracking, and obstacle avoidance.

Real-time Control:

By leveraging the fast response time of LFE2-12SE-6QN208I, robotic systems can achieve precise and agile control. The FPGA executes control algorithms with minimal latency, enabling robots to react swiftly to changing environmental conditions and execute complex maneuvers with precision.

Adaptive Learning:

With its reprogrammable nature, LFE2-12SE-6QN208I facilitates adaptive learning in robotic systems. Machine learning algorithms can be implemented and fine-tuned on-the-fly, allowing robots to adapt their behavior based on experience and feedback from the environment.

Power Efficiency:

Despite its high computational prowess, LFE2-12SE-6QN208I maintains low power consumption, making it well-suited for battery-powered robotic applications. Its efficient use of resources ensures optimal performance while prolonging battery life, enabling prolonged operation in remote or mobile scenarios.

Conclusion:

In conclusion, LFE2-12SE-6QN208I empowers autonomous robotic systems with enhanced intelligence, agility, and efficiency. Its advanced features enable robust navigation, sensor fusion, real-time control, adaptive learning, and power-efficient operation, making it a cornerstone in the development of next-generation robotic platforms.

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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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