Clifford Reader

Title: The Innovations of Clifford Reader

Introduction

Clifford Reader is an accomplished inventor based in Saratoga, California. He has made significant contributions to the field of data compression through his innovative methods and systems. With a focus on linear quantization and dequantization, his work has the potential to enhance data processing efficiency.

Latest Patents

Clifford Reader holds a patent for a "Method and system for linear quantization and dequantization." This method involves receiving a set of input data in a first matrix format and compressing it to obtain a first set of compressed data in a second matrix format. The quantization equation used in this process is Yq(i,j)=[(Y(i,j)+offset)<<n]/qs, where Yq(i,j) represents a coefficient in the compressed data matrix, Y(i,j) represents a coefficient in the input data matrix, and offset, n, and qs are parameters that facilitate the compression. The method also includes sending the compressed data to a designated destination.

Career Highlights

Clifford Reader is currently employed at Oracle America, Inc., where he continues to develop innovative solutions in data processing. His expertise in quantization techniques has positioned him as a valuable asset to his team and the company.

Collaborations

Clifford has collaborated with notable colleagues such as Peter Farkas and Yan Zhang. Their combined efforts contribute to the advancement of technology in their field.

Conclusion

Clifford Reader's work in linear quantization and dequantization exemplifies the impact of innovative thinking in technology. His contributions continue to shape the future of data processing and compression.