Alexis B Allegra

Title: Innovations of Alexis B Allegra

Introduction

Alexis B Allegra is a notable inventor based in La Jolla, California. She has made significant contributions to the field of synthetic instrument-based noise analysis. Her innovative work has led to the development of a unique method that enhances the analysis of input signals.

Latest Patents

One of her key patents is titled "Method of performing synthetic instrument based noise analysis using proportional bandwidth spectrum analysis techniques." This patent presents a system and method for filtering an input signal that includes both first and second octave portions. The proportional bandwidth filter system consists of a bandwidth reducing filter, a down-sampler, and first and second octave filters. The bandwidth reducing filter effectively reduces the bandwidth of the input signal, while the down-sampler rolls the second octave portion into a top octave portion of a down-sampled signal. The first octave filter partitions and converts the first octave portion of the input signal into output signals that represent the frequency spectra of the first octave. Similarly, the second octave filter generates outputs that represent the spectra of the second octave portion of the input signal.

Career Highlights

Alexis B Allegra is currently employed at BAE Systems National Security Solutions Inc. Her work at this esteemed company has allowed her to apply her innovative ideas in a practical setting. With one patent to her name, she has established herself as a valuable contributor to her field.

Collaborations

Throughout her career, Alexis has collaborated with notable colleagues, including Robert W Lowdermilk and Dragan Vuletic. These collaborations have further enriched her work and contributed to the advancement of technology in her area of expertise.

Conclusion

Alexis B Allegra's contributions to synthetic instrument-based noise analysis demonstrate her innovative spirit and dedication to advancing technology. Her patent reflects her expertise and commitment to improving signal analysis methods.