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Name: LFE2-20SE-5QN208I
Brand: Lattice Semiconductor Corporation
SKU: LFE2-20SE-5QN208I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-20SE-5QN208I

Part No.:: LFE2-20SE-5QN208I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 208-BFQFP

Datasheet:: LFE2-20SE-5QN208I.pdf

Description:: IC FPGA 131 I/O 208QFP

In Stock:: 3086

Quantity:: Add To Cart

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LFE2-20SE-5QN208I Specifications

Package/Case:
208-BFQFP
Packaging:
Tray
Series:
ECP2
ProductStatus:
Not For New Designs
NumberofLABs/CLBs:
2625
NumberofLogicElements/Cells:
21000
TotalRAMBits:
282624
NumberofI/O:
131
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE2-20SE-5QN208I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-20SE-5QN208I 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 LFE2-20SE-5QN208I 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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LFE2-20SE-5QN208I information

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LFE2-20SE-5QN208I application case analysis in emerging technology fields

LFE2-20SE-5QN208I is a field-programmable gate array (FPGA) chip known for its versatility and high-performance capabilities, commonly utilized in a variety of applications across different industries.

Application Scenario:

In robotics and automation, LFE2-20SE-5QN208I plays a crucial role in enhancing efficiency and intelligence by enabling real-time processing and control of complex tasks.

Circuit Design:

To implement a robotic control system using LFE2-20SE-5QN208I, the following steps are essential:

1. Sensor Integration:

Integrate various sensors, such as encoders, proximity sensors, and vision systems, with LFE2-20SE-5QN208I to provide real-time feedback about the robot's environment and status.

2. Motion Control:

Utilize the FPGA's high-speed processing capabilities to implement advanced motion control algorithms for precise trajectory planning and execution.

3. Decision Making:

Implement intelligent decision-making algorithms within the FPGA to analyze sensor data and adjust the robot's actions autonomously based on predefined criteria or machine learning models.

4. Communication:

Establish communication interfaces, such as Ethernet or CAN bus, to facilitate interaction with other robotic systems or a central control unit. Configure the FPGA's I/O pins for seamless data exchange.

5. Safety Features:

Implement safety mechanisms, such as emergency stop functionalities and collision avoidance algorithms, using LFE2-20SE-5QN208I to ensure the safety of both the robot and its surrounding environment.

Considerations:

When designing the robotic control system, it's essential to consider:

- Real-Time Processing: Leverage the FPGA's parallel processing architecture to handle multiple tasks simultaneously and meet stringent real-time requirements.

- Resource Optimization: Optimize the FPGA's logic and memory resources to maximize performance while minimizing power consumption and cost.

- Algorithm Efficiency: Develop efficient algorithms tailored to the FPGA's architecture to make the most out of its computational capabilities and achieve optimal performance.

- Scalability: Design the system with scalability in mind to accommodate future upgrades or modifications without significant redesign efforts.

- Testing and Validation: Thoroughly test the robotic control system to ensure its reliability, safety, and performance under various operating conditions and scenarios.

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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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