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Name: LCMXO2280E-5BN256C
Brand: Lattice Semiconductor Corporation
SKU: LCMXO2280E-5BN256C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LCMXO2280E-5BN256C

Part No.:: LCMXO2280E-5BN256C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 256-LFBGA, CSPBGA

Datasheet:: LCMXO2280E-5BN256C.pdf

Description:: IC FPGA 211 I/O 256CABGA

In Stock:: 2967

Quantity:: Add To Cart

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LCMXO2280E-5BN256C Specifications

Package/Case:
256-LFBGA, CSPBGA
Packaging:
Tray
Series:
MachXO
ProductStatus:
Active
NumberofLABs/CLBs:
285
NumberofLogicElements/Cells:
2280
TotalRAMBits:
28262
NumberofI/O:
211
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LCMXO2280E-5BN256C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LCMXO2280E-5BN256C 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 LCMXO2280E-5BN256C 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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LCMXO2280E-5BN256C information

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LCMXO2280E-5BN256C application case analysis in emerging technology fields

LCMXO2280E-5BN256C is a low-power, low-cost FPGA (Field-Programmable Gate Array) device designed by Lattice Semiconductor. It offers a versatile platform for implementing custom logic functions and signal processing algorithms in various applications.

Application Scenario:

In the field of digital signal processing, LCMXO2280E-5BN256C can be utilized to enhance the efficiency and intelligence of audio processing systems, such as noise cancellation algorithms in headphones or audio enhancement features in portable speakers.

Circuit Design:

To implement a noise cancellation system using LCMXO2280E-5BN256C, consider the following steps:

1. Signal Acquisition:

Connect microphones or audio input sources to the ADC (Analog-to-Digital Converter) pins of LCMXO2280E-5BN256C, such as pins AN0 and AN1. Ensure proper amplification and filtering of the input signals to maintain signal integrity.

2. Digital Signal Processing:

Utilize the FPGA resources to implement digital signal processing algorithms, such as adaptive filtering or Fourier transforms, to analyze and manipulate the input audio signals. These algorithms can extract noise patterns and generate anti-noise signals for cancellation.

3. Noise Cancellation:

Generate anti-noise signals based on the analyzed noise patterns and combine them with the original audio signals to cancel out unwanted noise components. Use the FPGA's computational capabilities to perform real-time adjustments for optimal noise cancellation performance.

4. Audio Output:

Route the processed audio signals to DAC (Digital-to-Analog Converter) pins of LCMXO2280E-5BN256C, such as pins DAC0 and DAC1, to generate output audio signals with noise cancellation applied. Connect headphones or speakers to these output pins for users to experience the enhanced audio quality.

5. User Interface:

Integrate user interface components, such as control buttons or LCD displays, to provide user interaction and feedback. Utilize GPIO pins of LCMXO2280E-5BN256C, such as pins GPIO0 and GPIO1, to interface with these components.

Considerations:

When designing the noise cancellation system, consider the following aspects:

- Computational Resources: Ensure that the FPGA has sufficient resources to implement the required signal processing algorithms with real-time performance.

- Power Consumption: Optimize the FPGA configuration and algorithm implementation to minimize power consumption, especially in battery-powered devices.

- Latency: Minimize processing latency to maintain audio synchronization and responsiveness in real-time applications.

- Algorithm Optimization: Continuously refine and optimize the noise cancellation algorithms to improve performance and adaptability to different noise environments.

- System Integration: Integrate the FPGA-based noise cancellation system seamlessly with the overall audio processing chain, considering compatibility and interoperability with other system components.

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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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