Robert S Lynch

Title: Robert S. Lynch and His Sonar and Data-Analysis Patents.

Introduction

Robert S. Lynch is an inventor associated with Old Mystic, Connecticut. His work includes inventions in sonar signal authentication and Bayesian data reduction. He is associated with the U.S. Navy, represented by the Secretary of the Navy, as the company or assignee listed for his patents.

Latest Patents

Lynch’s listed patents address methods for embedding information in sonar and clustering data for Bayesian data reduction. His patent portfolio includes 2 patents.

“Method for Embedding Information in Sonar” describes a way to authenticate, identify, and trace sonar transmissions and echoes by embedding digital watermarks in the signal. The method uses the complex short-time Fourier transform to place a secure watermark in the signal’s time-frequency representation. An iterative optimization process helps ensure that the watermarked sonar remains realizable, while the selected region is chosen to limit interference and withstand transmission effects. A correlation receiver, tuned with a secret key, can then authenticate sonar echoes.

“Data Clustering Method for Bayesian Data Reduction” describes a method for training a mean-field Bayesian data reduction classifier. It determines a suitable number of levels, retrains the classifier for points in a target data set, and uses training errors to identify and test cluster candidates. The process can be repeated until the candidates have been evaluated.

Career Highlights

The two listed inventions reflect Lynch’s work on signal processing and data analysis. One focuses on embedding robust, secure information in sonar signals, while the other uses training-error patterns to identify data clusters.

Collaborations

Lynch’s listed coworkers include Peter K. Willett and G. Clifford Carter. His patents are associated with the U.S. Navy, represented by the Secretary of the Navy.

Conclusion

Robert S. Lynch’s patents bring together sonar authentication and Bayesian data clustering, highlighting his contributions to signal processing and data-reduction methods.