Company Filing History:
Years Active: 2001-2017
Title: The Innovative Contributions of Peter J. Letts
Introduction
Peter J. Letts is a notable inventor based in Beaverton, OR (US). He has made significant contributions to the field of waveform analysis, holding a total of 9 patents. His work focuses on methods and systems that enhance the detection and characterization of anomalies in non-repetitive signals.
Latest Patents
Among his latest patents are innovative methods for generating displays of waveforms. One such method describes devices capable of visually detecting anomalies in non-repetitive signals. This includes an oscilloscope that can display segments of a complete waveform record, which features non-periodic triggering events. The segments are displayed both vertically and horizontally offset from one another, aiding in the visual detection of anomalies within the record. Additionally, decayed or aged segments of a waveform can be displayed simultaneously. Another patent involves characterizing newly acquired waveforms in relation to previously acquired ones during the monitoring of generally repetitive signals. This method utilizes a two-dimensional array of memory locations to read history values, compare them with ranges, and determine the variability of the newly acquired waveform.
Career Highlights
Peter J. Letts is currently employed at Tektronix, Inc., where he continues to innovate in the field of waveform analysis. His work has significantly impacted the way engineers and scientists analyze signals, making it easier to identify anomalies that could affect performance.
Collaborations
Throughout his career, Letts has collaborated with notable colleagues such as Steven C. Herring and David P. Maguire. These collaborations have further enriched his work and contributed to the advancements in waveform analysis technologies.
Conclusion
Peter J. Letts exemplifies the spirit of innovation in the field of waveform analysis. His contributions through patents and collaborations have paved the way for advancements that enhance the detection of signal anomalies. His work continues to influence the industry and inspire future innovations.