Andreas Werner

Title: Innovations of Andreas Werner

Introduction

Andreas Werner is a notable inventor based in Munich, Germany. He has made significant contributions to the field of signal processing and neural networks. With a total of three patents to his name, his work reflects a deep understanding of technology and innovation.

Latest Patents

Andreas Werner's latest patents include a method and apparatus for providing a trained signal classification neural network. This method involves generating virtual waveform primitives to create a training data set for the neural network. Each virtual waveform primitive consists of a sequence of time and amplitude discrete values, which are essential for effective training. Another significant patent focuses on a method and signal analysis instrument for analyzing pulse modulated signals. This method includes determining a dynamic threshold level based on the characteristics of the pulse modulated signal, allowing for accurate demodulation.

Career Highlights

Throughout his career, Andreas has worked with prominent companies such as Rohde & Schwarz GmbH & Co. KG and Bayerische Motoren Werke Aktiengesellschaft (BMW). His experience in these organizations has contributed to his expertise in signal processing and innovation.

Collaborations

Andreas has collaborated with notable colleagues, including Robert Griessbach and Robert Wagner. Their joint efforts have likely enhanced the quality and impact of their work in the field.

Conclusion

Andreas Werner's contributions to signal processing and neural networks demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology in meaningful ways.