Stephen W Decker

Title: Innovations of Stephen W Decker

Introduction

Stephen W Decker is an accomplished inventor based in Sunland, California. He has made significant contributions to the field of optical processing systems, particularly in the area of matrix multiplication. His innovative approach has led to the development of a unique processing system that enhances computational efficiency.

Latest Patents

Stephen W Decker holds a patent for a "Processing system for performing matrix multiplication." This optical processing system utilizes two two-dimensional arrays of optically transmissive elements. Each element of the first array communicates light to the corresponding element of the second array. The optical transmittance of each row of one of the arrays is controlled according to the values of the vector x, while the optical transmittance of each element of the other array is controlled according to the corresponding matrix value m(i,j). The first array is uniformly illuminated, and the amount of light transmitted through the two arrays is detected by a suitable array of photodetectors. The output of each photodetector is proportional to the sum of the products of the vector x(i) with each value of the matrix in the corresponding column of the matrix array. This innovative system has the potential to revolutionize how matrix operations are performed.

Career Highlights

Stephen W Decker is associated with General Dynamics Corporation, Pomona Division, where he has contributed his expertise in optical processing. His work has been instrumental in advancing the capabilities of the company in the field of technology and innovation.

Collaborations

Stephen has collaborated with Richard S Schlunt, further enhancing the innovative projects at General Dynamics Corporation. Their combined efforts have led to significant advancements in optical processing technologies.

Conclusion

Stephen W Decker's contributions to the field of optical processing systems exemplify the spirit of innovation. His patent for a processing system for matrix multiplication showcases his ability to merge technology with practical applications. His work continues to influence advancements in computational methods.