Vendor: Lattice Semiconductor Corp. Category: Channel Coding

Convolutional Encoder

Convolutional encoding is a process of adding redundancy to a signal stream.

Overview

Convolutional encoding is a process of adding redundancy to a signal stream. Lattice's Convolutional Encoder core is a parameterizable core for convolutional encoding of a continuous input data stream. The core allows variable code rates, constraint lengths and generator polynomials. The core also supports puncturing. Puncturing enables a large range of transmission rates and reduces the bandwidth requirement on the channel.

Key features

  • Parameterizable continuous convolutional encoder
  • Available for ORCA Series 4 FPGA and FPSC devices.
  • Parameterizable constraint length from 3 to 12
  • Parameterizable convolutional codes
  • Parameterizable puncture codes
  • Puncturing input rates from 2 to 12
  • Puncturing output rates from 2 to 23

Block Diagram

Specifications

Identity

Part Number
CONV-ENCO
Vendor
Lattice Semiconductor Corp.
Type
Silicon IP

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Provider

Learn more about Channel Coding IP core

Lattice Collaborates with TI to Accelerate Edge AI for Robotics and Industrial Applications

The collaboration demonstrates a real-time AI sensor fusion architecture that integrates TI mmWave radar and camera sensors using NVIDIA Holoscan Sensor Bridge running on Lattice’s low power FPGA. The FPGA acts as a companion chip delivering synchronized sensor data directly into GPU-accessible memory to enable low-latency and robust perception for robotics and industrial edge AI applications.

Frequently asked questions about Channel Coding IP cores

What is Convolutional Encoder?

Convolutional Encoder is a Channel Coding IP core from Lattice Semiconductor Corp. listed on Semi IP Hub.

How should engineers evaluate this Channel Coding?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Channel Coding IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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