Company Filing History:
Years Active: 1998
Title: The Innovative Contributions of Li-Zhe Tan
Introduction
Li-Zhe Tan is a notable inventor based in Doraville, GA (US). He has made significant contributions to the field of data compression through his innovative patent. His work exemplifies the intersection of technology and creativity, showcasing how inventive solutions can address complex problems.
Latest Patents
Li-Zhe Tan holds a patent for a "System and method for modeling discrete data sequences." This invention discloses an encoder and decoder system designed for compressing discrete data sequences. The encoder features a self-affine map generator and a backward adaptive map generator that model source vectors formed from a discrete data sequence. The self-affine map generator employs known modeling techniques to determine map parameters for mapping functions. The mapping functions are evaluated by computing a collage error, and the mapping function corresponding to the smallest collage error is selected. The backward adaptive map generator determines map parameters for mapping functions that map previously generated vectors to represent the discrete data sequence. A distance measurement is computed for each target vector/mapping function combination, and the mapping function corresponding to the smallest distance measurement is selected. A map evaluator determines whether the mapping function generated by the self-affine map generator or the backward adaptive map generator best represents the discrete data sequence. The inventive decoder includes an iterative decoder and a backward decoder. The iterative decoder uses a deterministic or random iteration algorithm to generate a synthesized vector from a mapping function received from an encoder. The backward decoder retrieves a vector from a sample buffer at the decoder that corresponds to the vector used to generate the mapping function. The sample buffer contains previously decoded vectors. The mapping function is applied to the retrieved vector once to generate the synthesized vector representing a source vector at the encoder. The decoder selects the affine decoder or the backward decoder based upon a token from the encoder that identifies the process which generated the mapping function.
Career Highlights
Li-Zhe Tan is currently employed at Iterated Systems, Inc., where he continues to develop innovative solutions in data modeling and compression. His work has contributed to advancements in the field, enhancing the efficiency and effectiveness of data processing technologies.
Collaborations
Throughout his career, Li-Zhe Tan has collaborated with esteemed colleagues such as Steven A Johnson and Sing-Wai Wu. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
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