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For the Inventor, By the Inventor

Edinburgh, United Kingdom

Andrew M Whyte

USPTO Granted Patents = 8

Average Co-Inventor Count = 1.4

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:

goldMedal8 out of 5,007 
 
Xilinx, Inc.
 patents

Years Active: 2012-2022

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8 patents (USPTO):Explore Patents
1. 11455369 - Streaming FFT with bypass function (2022-09-27),
2. 10963746 - Average pooling in a neural network (2021-03-30),
3. 10797727 - Low-density parity-check (LDPC) encode using an LDPC decoder (2020-10-06),
4. 10644725 - Interleaved data block processing in low-density parity-check (LDPC) encoder and decoder (2020-05-05),
5. 10474390 - Systems and method for buffering data using a delayed write data signal and a memory receiving write addresses in a first order and read addresses in a second order (2019-11-12),
6. 9244885 - Pipelined phase accumulator (2016-01-26),
7. 8352532 - Circuit structure for multiplying numbers using look-up tables and adders (2013-01-08),
8. 8194532 - Mixed radix discrete fourier transform (2012-06-05),

Title: The Innovations of Andrew M. Whyte

Introduction

Andrew M. Whyte is a prominent inventor based in Edinburgh, GB. He has made significant contributions to the field of technology, holding a total of 8 patents. His work primarily focuses on advancements in signal processing and neural networks, showcasing his expertise and innovative thinking.

Latest Patents

One of Andrew's latest patents is titled "Streaming FFT with Bypass Function." This invention describes a Fast Fourier Transform (FFT) that can bypass certain stages when processing smaller frames. By allowing the FFT to skip unnecessary stages, it reduces latency and conserves power, making it more efficient for applications that only require smaller frame sizes. Another notable patent is related to "Average Pooling in a Neural Network." This invention improves the efficiency of average pooling operations by scaling input operands before performing accumulation. This method optimizes the use of multiply-accumulator (MAC) units, enhancing the performance of neural networks.

Career Highlights

Andrew M. Whyte is currently employed at Xilinx, Inc., where he continues to develop innovative solutions in technology. His work has had a significant impact on the efficiency and performance of various systems, particularly in the fields of signal processing and artificial intelligence.

Collaborations

Andrew has collaborated with notable colleagues, including Richard Lewis Walke and Andrew Dow. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

In summary, Andrew M. Whyte is a distinguished inventor whose contributions to technology are marked by his innovative patents and collaborative efforts. His work continues to influence advancements in signal processing and neural networks, solidifying his reputation as a leading figure in the field.

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