Company Filing History:
Years Active: 2000
Title: The Innovations of Matthew Schwall
Introduction
Matthew Schwall is an accomplished inventor based in Escondido, California. He has made significant contributions to the field of technology, particularly in the area of signal processing. His innovative work has led to the development of a unique apparatus that addresses specific challenges in magnetoresistive head technology.
Latest Patents
Matthew Schwall holds a patent for an "Apparatus for compensating for non-linear characteristics." This invention is designed to compensate for the asymmetry and baseline shift in the signals generated by magnetoresistive heads. The apparatus incorporates a first correction factor for baseline shift, a second correction factor for the amplitude of the positive portion of the signal, and a third correction factor for the amplitude of the negative portion. By adding the first correction factor to the generated signal, a baseline corrected signal is produced. This signal is then monitored for positive and negative excursions, which are adjusted using the second and third correction factors, respectively, to generate a compensated signal.
Career Highlights
Matthew Schwall is currently employed at Seagate Technology Incorporated, a leading company in data storage solutions. His role at Seagate has allowed him to apply his expertise in signal processing and contribute to advancements in technology. His work has been instrumental in enhancing the performance of magnetoresistive heads, which are critical components in data storage devices.
Collaborations
Matthew has collaborated with various professionals in his field, including his coworker Louis J. Shrinkle. Their combined efforts have fostered innovation and development within their projects at Seagate Technology.
Conclusion
Matthew Schwall's contributions to technology through his innovative patent and work at Seagate Technology highlight his role as a significant inventor in the field. His apparatus for compensating for non-linear characteristics showcases his ability to solve complex problems in signal processing.