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Membro desde May, 2014
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My interests can be broadly described as a desire to measure and interpret signals. I am extremely fascinated with the idea of developing sensors, integrating sensors, and interpreting the signals that these sensors produce. Some of my past hardware projects include: the development and implementation of two PC data acquisition boards (similar to sound cards, but running at 12MHz sampling rates), a patent on an analog to digital converter, the development and implementation of a fast analog to digital conversion board used in HP (now Agilent) spectrum analyzers, and the development and implementation of a patented timing board circuit that synchronizes a multitude of sensors, such as: multiple LiDARs (laser radar), cameras, and INS (inertial navigation systems) sensors to produce real-time 3D registered data. Some of my past software experience includes: the development of novel 2D image models for application in interpolation, denoising and compression (including three image processing patents); the development of software programs for use in image processing applications, such as: Visere (advanced, open source image viewer) and Algorithms (an open source image processing library) available at ; and the development of 3D registration algorithms. Through my company (DMMD) we are currently working on developing a system that will make 2D and 3D image processing easy. We are developing a platform that will allow engineers to easily add, test, and market new algorithms, without having to worry about the noisy details related to issues such as image formats, image display and other non-trivial, but essential details. My ideal project is a project in sensory based embedded systems, where the requirement to understand hardware and software is closely coupled together with the use of sensors. Contracting opportunities, between my company (DMMD) and your own company are of extreme interest to me, as I seek to further grow and develop DMMD. Specialties:Hardware/Software Sensor Integration, Hardware Development, Digital Image and Signal Processing, Wavelets, Statistical Signal Processing, LiDAR Processing, 3D Visualization.
$100 USD/hr
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CTO & President

Sep 2002

DMMD develops, integrates, and customizes signal processing and networking software for your business. Certain byproducts of our work, such as Visere (an image viewer), Algorithms (a signal processing library consisting of 1D, 2D, 3D and N-D processing), and Exuo (an image server) are based on SDKs and can be easily integrated and customized for your own product. Our team excels at projects that require ingenious signal processing and/or networking solutions. If your business requires advanced s


Ph.D. Electrical and Computer Engineering

1996 - 2002 (6 years)

BSC Electrical Engineering

1991 - 1996 (5 years)

BA Mathematics with Honors

1991 - 1996 (5 years)


Orthogonal, Exactly Periodic Subspace Decomposition

Abstract — The detection and estimation of machine vibration multi-periodic signals of unknown periods in white Gaussian noise is investigated. New estimates for the sub-signals (signals making up the received signal) and their periods are derived using an orthogonal subspace decomposition approach. The concept of exactly periodic signals is introduced. This in turn simplifies and enhances the understanding of periodic signals. Index Terms—Harmonics, period estimation, periodic signals,signal dec

Adaptively Quadratic (AQua) Image Interpolation

Abstract—Image interpolation is a key aspect of digital image processing. This paper presents a novel interpolation method based on optimal recovery and adaptively determining the quadratic signal class from the local image behavior. The advantages of the new interpolation method are the ability to interpolate directly by any factor and to model properties of the data acquisition system into the algorithm itself. Through comparisons with other algorithms it is shown that the new interpolation is not only m

Demosaicing Using Optimal Recovery

Abstract -- Color images in single chip digital cameras are obtained by interpolating mosaiced color samples. These samples are encoded in a single chip CCD by sampling the light after it passes through a color filter array (CFA) that contains different color filters (i.e. red, green, and blue) placed in some pattern. The resulting sparsely sampled images of the three-color planes are interpolated to obtain the complete color image. Interpolation usually introduces color artifacts due to the phase-shifted,


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