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Name: LFE2M35SE-5FN484I
Brand: Lattice Semiconductor Corporation
SKU: LFE2M35SE-5FN484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2M35SE-5FN484I

Part No.:: LFE2M35SE-5FN484I

Manufacturer:: Lattice Semiconductor Corporation

Package:: 484-BBGA

Datasheet:: LFE2M35SE-5FN484I.pdf

Description:: IC FPGA 303 I/O 484FBGA

In Stock:: 3794

Quantity:: Add To Cart

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LFE2M35SE-5FN484I Specifications

Package/Case:
484-BBGA
Packaging:
Tray
Series:
ECP2M
ProductStatus:
Active
NumberofLABs/CLBs:
4250
NumberofLogicElements/Cells:
34000
TotalRAMBits:
2151424
NumberofI/O:
303
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

LFE2M35SE-5FN484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2M35SE-5FN484I 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 LFE2M35SE-5FN484I 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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LFE2M35SE-5FN484I information

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LFE2M35SE-5FN484I application case analysis in emerging technology fields

LFE2M35SE-5FN484I is a versatile FPGA chip designed to enhance efficiency and intelligence in various applications, particularly in the realm of embedded systems and digital design.

Application Scenario:

In the field of autonomous robotics, LFE2M35SE-5FN484I can revolutionize navigation systems by providing real-time processing capabilities for sensor data fusion and decision-making algorithms.

Circuit Design:

To design an autonomous robot navigation system using LFE2M35SE-5FN484I, consider the following steps:

1. Sensor Integration:

Integrate various sensors such as cameras, LiDAR, and inertial measurement units (IMUs) to gather environmental data. Connect these sensors to the appropriate I/O pins of LFE2M35SE-5FN484I for data acquisition.

2. Sensor Data Processing:

Utilize the programmable logic resources within LFE2M35SE-5FN484I to preprocess and fuse sensor data in real-time. Implement algorithms for sensor fusion, object detection, and localization to generate a comprehensive understanding of the robot's surroundings.

3. Path Planning and Control:

Develop algorithms within LFE2M35SE-5FN484I to plan optimal paths based on the processed sensor data. Implement feedback control mechanisms to adjust the robot's trajectory and ensure safe and efficient navigation.

4. Communication:

Establish communication interfaces, such as UART or Ethernet, to facilitate data exchange between LFE2M35SE-5FN484I and external systems. Configure GPIO pins for serial communication and networking protocols to enable remote monitoring and control.

5. Power Efficiency:

Optimize power management strategies within the FPGA design to minimize energy consumption while maintaining computational performance. Utilize power gating techniques and dynamic voltage scaling to adapt to varying workload demands.

Considerations:

When designing the autonomous navigation system, it's crucial to address the following considerations:

- Real-Time Processing: Implement efficient algorithms and hardware architectures to handle sensor data in real-time and ensure timely decision-making.

- Resource Utilization: Maximize the utilization of LFE2M35SE-5FN484I's resources, including logic elements, memory blocks, and DSP slices, to achieve optimal performance and functionality.

- System Integration: Ensure compatibility and interoperability with other system components, such as motor drivers and actuators, to seamlessly integrate the navigation system into the overall robot architecture.

- Environmental Robustness: Design the system to withstand environmental factors such as vibration, temperature variations, and electromagnetic interference, ensuring reliable operation in diverse conditions.

- Testing and Validation: Thoroughly test the navigation system through simulation and prototype validation to verify its accuracy, reliability, and safety before deployment in real-world applications.

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6. What is the process for return or replacement of LFE2M35SE-5FN484I?

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

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