Laurel, MD, United States of America

Zhaohua Wu


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: The Innovations of Zhaohua Wu

Zhaohua Wu is a notable inventor based in Laurel, MD (US). He has made significant contributions to the field of data analysis through his innovative patent. His work exemplifies the intersection of technology and analytical methods, showcasing his expertise in complex signal processing.

Latest Patents

Zhaohua Wu holds a patent for a "Noise-assisted data analysis method, system and program product therefor." This invention involves an apparatus, computer program product, and method for analyzing complex signals. The process includes generating independent versions of the complex signal by adding multiple instances of white noise. Intrinsic mode functions (IMFs) are extracted from each independent version using Empirical Mode Decomposition (EMD). The corresponding IMFs from each independent version are then combined into Ensemble IMFs (EIMFs) by taking the mean of the corresponding IMFs. This innovative approach enhances the analysis of complex signals, providing valuable insights in various applications.

Career Highlights

Zhaohua Wu is currently employed at Dynadx Corporation, where he continues to develop and refine his innovative ideas. His work at the company allows him to collaborate with other experts in the field, further advancing the technology related to data analysis.

Collaborations

One of Zhaohua Wu's notable collaborators is Norden E Huang. Their partnership has likely contributed to the development of advanced methodologies in data analysis and signal processing.

Conclusion

Zhaohua Wu's contributions to the field of data analysis through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way complex signals are analyzed, showcasing the importance of innovation in this field.

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