Chien M Huang

Title: Innovations of Chien M Huang

Introduction

Chien M Huang is an accomplished inventor based in Logan, UT (US). He has made significant contributions to the field of data compression through his innovative patents. With a total of 2 patents, Huang's work focuses on enhancing the efficiency of vector quantization techniques.

Latest Patents

Huang's latest patents include "Adaptive Multi-Stage Vector Quantization" and "Full-Search-Equivalent Method for Matching Data and a Vector Quantizer." The first patent describes a process where vector quantization of a data vector occurs through successive stages until a distortion measure meets a threshold or the last stage is reached. This method improves compression efficiency by varying the threshold based on the fullness of a buffer storing the quantized data. The second patent outlines a method for compressing data using vector quantization by calculating the norm of an input vector and identifying a reference codebook vector closest to it. This iterative selection process enhances the efficiency of identifying the closest codebook vector without searching through the entire codebook.

Career Highlights

Throughout his career, Huang has worked with notable organizations such as Scientific-Atlanta, Inc. and Utah State University. His experience in these institutions has contributed to his expertise in data compression technologies.

Collaborations

Some of Huang's coworkers include Paul D Israelsen and Qi Bi. Their collaborative efforts have likely played a role in advancing the research and development of innovative solutions in their field.

Conclusion

Chien M Huang's contributions to vector quantization and data compression demonstrate his innovative spirit and dedication to improving technology. His patents reflect a commitment to enhancing efficiency in data processing, making a significant impact in the industry.