Jeffrey Y. Beyon, Ph.D., P.E. Associate Professor Phone: (323) 343-4578 Fax: (323) 343-4547 E-mail: jbeyon@calstatela.edu

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Introduction

I was born in 1967. While I was attending Pennsylvania State University in University Park, PA, I started working for National Instruments in Austin, Texas during my final semester as a Ph.D. student. After one and a half year in Texas, I accepted a position as an Assistant Professor at Christopher Newport University (Virginia State University) in Virginia. After another four years in Virginia, I joined California State University, Los Angeles in 2002.

I am a registered professional engineer (P.E.) in the states of Virginia and California. I have been working with NASA Langley, VA since December, 2001 and up until now. I have also been working actively as an independent consultant in the field of signal processing and data acquisition system design and programming since 1998. I wrote two books (Book1, Book2) on LabVIEW programming and data acquisition system design and taught LabVIEW programming and data acquisition technique classes at places such as Lucent Technology, NASA Langley, Siemens Automotive, Motorola, Sandia Laboratory, Liebherr Mining Co. and many others.

I have received numerous complementary comments on the contents of the books from around the world such as England, Mexico, Puerto Rico, and Iran. Numerous universities and research institutes around the world, such as biomedical engineering department at Tulane University, the University of Dayton, and the University of Iran, and many others, have adopted them for one of their courses.

I believe that good (effective) teaching is the most important part of education. Teaching should be a two-way duplex process with a continuous feedback to reach a steady state response in a most optimal sense. It is my firm belief that great scholars must be able to "teach" and not just to conduct research.

I initiated a new concept laboratory, Digital Signal Processing (DSP) Laboratory, in Summer, 2003, to strengthen the teaching in signal processing areas at CSULA and to support my research in Signal Processing. The laboratory is sponsored by National Instruments based in Austin, TX, and more details are available in the home page of the laboratory.

A few selected topics that I enjoy teaching the most are as follows in a random order:

• Signal Processing and System
• Estimation and Detection
• Stochastic Processes
• LabVIEW and data acquisition system design and programming

My research interests lie in the area of statistical signal processing and its applications. This includes problems in speech processing, adaptive filter algorithm design, active noise control, beamforming, signal detection and direction of arrival (DOA) estimation, remote sensing and sensor array signal processing. The following is a list of research interests:

• Lidar Signal Processing
• Statistical Sensor Array Signal Processing
• Adaptive Filtering Algorithm
• Signal Detection & Estimation
• Automatic Speech Recognition and Understanding (ASRU) & Pattern Recognition
• Data Acquisition System & Software Design

A funding from NASA, Langley as of December, 2001 and continuing at present, supported a project on Compact PCI-Architecture Design & Testing, which is part of a weather satellite project (project title: Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS)), and currently sponsors a DSP system design under a project called VALIDAR (Validation Lidar). I am in charge of designing and integrating system components as well as developing and implementing new lidar signal processing algorithms.

I am planning to develop a large vocabulary continuous speech recognition system in low signal-to-noise ratio (SNR) environment. A ten-digit isolated word recognition system using a hidden Markov model (HMM) was designed with a highly competitive recognition rate (93% and 98% with discrete and continuous observation probability density functions, respectively) and will be used as a base system for a continuous recognition system. It is an isolated word recognizer written entirely in LabVIEW for the first time.

Another research example is on data analysis and software design for flow control systems. Two complete analysis software packages were developed in LabVIEW and delivered to highly competitive NASA contractors in August and February, 2001. They were for wind tunnel data analysis such as phase reversal analysis, spectrum analysis, and filtering process.

1. Ph.D. in Electrical Engineering in 1997 from Pennsylvania State University, University Park
2. M.S. in Electrical Engineering in 1992 from the University of Wisconsin-Madison
3. B.S. in Electronic Engineering in 1989 from Kyung Hee University in Seoul, Korea

Refer to the main home page for their links.

Last updated on February, 2008.