Dr. Erlan Hector Feria Profile

Dr. Erlan Hector Feria

Professor at College of Staten Island

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 15 June 2023 Presentation + Paper

The space dual of Einstein’s relativity advances the theoretical backing for this year's astronomical observation of dark energy residing in the universe's black holes

Erlan Feria

Proceedings Volume 12526, 1252602 (2023) https://doi.org/10.1117/12.2682840

KEYWORDS: Spherical lenses

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Proceedings Article | 21 May 2015 Paper

On the universe's cybernetics duality behavior

Erlan Feria

Proceedings Volume 9497, 94970O (2015) https://doi.org/10.1117/12.2183934

KEYWORDS: Control systems, Physics, Process control, Radar, Telecommunications, Organisms, Spherical lenses, Sensors, Stochastic processes, Molecules

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Proceedings Article | 28 May 2014 Paper

Power centroid radar and its rise from the universal cybernetics duality

Erlan Feria

Proceedings Volume 9120, 912007 (2014) https://doi.org/10.1117/12.2059153

KEYWORDS: Radar, Antennas, Synthetic aperture radar, Quantization, Particle filters, Image compression, Particles, Computer programming, Information theory, Curium

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Proceedings Article | 11 May 2010 Paper

The latency information theory revolution, part III: knowledge-unaided power-centroid adaptive radar

Erlan Feria

Proceedings Volume 7708, 77080V (2010) https://doi.org/10.1117/12.849716

KEYWORDS: Signal processing, Radar, Antennas, Synthetic aperture radar, Sensors, Image compression, Information theory, Communication theory, Interference (communication), Detection theory

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Knowledge unaided power centroid (KUPC) adaptive radar and its latency information theory (LIT) roots are reviewed in this third paper of a three paper series. LIT is the universal guidance theory for efficient system designs that has inherently surfaced from the confluence of five ideas. They are: 1) The source entropy and channel capacity performance bounds of Shannon's mathematical theory of communication; 2) The latency time (LT) certainty of Einstein's relativity theory; 3) The information space (IS) uncertainty of Heisenberg's quantum physics; 4) The black hole Hawking radiation and its Boltzmann thermodynamics entropy S in SI J/K; and 5) The author's 1978 conjecture of a structural-physical LT-certainty/IS-uncertainty duality for stochastic control. LIT is characterized by a four quadrants revolution. While the first and third quadrants are concerned with the life time of physical signal movers and the life space of physical signal retainers, respectively, the second and fourth quadrants are about the intelligence space of mathematical signal sources and the processing time of mathematical signal processors, respectively. The four quadrants of LIT are assumed to be physically independent with their system design methodologies guided by dualities and performance bounds. Moreover, all the LIT quadrants are bridged by statistical physics, inclusive of a recently discovered time dual for thermodynamics that has been named lingerdynamics. The theoretical and practical relevance of LIT has already been demonstrated using real-world control, physics, biochemistry and the KUPC adaptive radar application that is reviewed in this paper. KUPC adaptive radar is a technique that falls within the fourth quadrant of LIT, and is thus a mathematical signal processing technique whose goal is the efficient detection of moving targets in real-world taxing environments. As is highlighted in this review KUPC adaptive radar is found to come relatively close to the signal to interference plus noise ratio (SINR) radar performance of DARPA's knowledge-aided sensory signal processing expert reasoning (KASSPER) even though it is knowledge unaided.

Proceedings Article | 11 May 2010 Paper

The latency information theory revolution, part II: its statistical physics bridges and the discovery of the time dual of thermodynamics

Erlan Feria

Proceedings Volume 7708, 77080U (2010) https://doi.org/10.1117/12.849733

KEYWORDS: Bridges, Physics, Signal processing, Thermodynamics, Sensors, Molecules, Optical spheres, Communication theory, Photovoltaics, Information theory

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Statistical physics bridges for latency information theory (LIT) are revealed in this second paper of a three paper series that include the discovery of the time dual of thermodynamics. LIT is the universal guidance theory for efficient system designs that has inherently surfaced from the confluence of five ideas. They are: 1) The source entropy and channel capacity performance bounds of Shannon's mathematical theory of communication; 2) The latency time (LT) certainty of Einstein's relativity theory; 3) The information space (IS) uncertainty of Heisenberg's quantum physics; 4) The black hole Hawking radiation and its Boltzmann thermodynamics entropy S in SI J/K; and 5) The author's 1978 conjecture of a structural-physical LT-certainty/IS-uncertainty duality for stochastic control. LIT is characterized by a four quadrants revolution with two mathematical-intelligence quadrants and two physical-life ones. Each quadrant of LIT is assumed to be physically independent of the others and guides its designs with an entropy if it is IS-uncertain and an ectropy if it is LT-certain. While LIT's physical-life quadrants I and III address the efficient use of life time by physical signal movers and of life space by physical signal retainers, respectively, its mathematicalintelligence quadrants II and IV address the efficient use of intelligence space by mathematical signal sources and of processing time by mathematical signal processors, respectively. Seven results are stated next that relate to the revelation of statistical physics bridges for LIT. They are: 1) Thermodynamics, a special case of statistical physics, has a time dual named lingerdynamics; 2) Lingerdynamics has a dimensionless lingerdynamics-ectropy Z that is the LT-certainty dual of a dimensionless thermodynamics-entropy, and like thermodynamics has four physical laws that drive the Universe; 3) S advances a bridge between quadrant II's source-entropy H in bit units and quadrant III's retainer-entropy N in SI m2 units; 4) Z advances a bridge between quadrant I's mover-ectropy A in SI secs and quadrant IV's processor-ectropy K in binary operator (bor) units; 5) Statistical physics bridges are discovered between the LIT entropies and the LIT ectropies; 6) Half of the statistical physics bridges between the LIT entropies and LIT ectropies are found to be medium independent, thus yielding the same entropy-ectropy relationships for black holes, ideal gases, biological systems, etc.; and 7) A medium independent quadratic relationship τ=l(M/▵M)2 relates the lifespan τ of a retained mass M to the ratio of M to the fractional mass ▵M that escapes it every l seconds, e.g., for a human with M = 70 kg, expected lifespan of τ=83.9 years (or 2.65 Gsec), l=1 day (or 86.4 ksec), its daily escaping mass is given by ▵M=0.4 kg. In turn, this requires him/her to consume 2,000 kcal per day (i.e., 5,000 kcal/kg times 0.4 kg) to replace the 0.4 kg lost from day to day which correlates well with expectations.

Proceedings Article | 11 May 2010 Paper

The latency information theory revolution, part I: its control roots

Erlan Feria

Proceedings Volume 7708, 77080T (2010) https://doi.org/10.1117/12.849726

KEYWORDS: Signal processing, Stochastic processes, Sensors, Information theory, Process control, Control systems, Detection theory, Thermodynamics, Computer programming, Physics

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The control roots of latency information theory (LIT) are reviewed in this first paper of a three papers series. LIT is the universal guidance theory for efficient system designs that has inherently surfaced from the confluence of five ideas. They are: 1) The source entropy and channel capacity performance bounds of Shannon's mathematical theory of communication; 2) The latency time (LT) certainty of Einstein's relativity theory; 3) The information space (IS) uncertainty of Heisenberg's quantum physics; 4) The black hole Hawking radiation and its Boltzmann thermodynamics entropy S in SI J/K; and 5) The author's 1978 conjecture of a structural-physical LT-certainty/IS-uncertainty duality for stochastic control. LIT is characterized by a four quadrants revolution with two mathematical-intelligence quadrants and two physical-life ones. Each quadrant of LIT is assumed to be physically independent of the others and guides its designs with an entropy if it is IS-uncertain and an ectropy if it is LT-certain. While LIT's physical-life quadrants I and III address the efficient use of life time by physical signal movers and of life space by physical signal retainers, respectively, its mathematical-intelligence quadrants II and IV address the efficient use of intelligence space by mathematical signal sources and of processing time by mathematical signal processors, respectively. The theoretical and practical relevance of LIT has already been demonstrated using real-world adaptive radar, physics and biochemistry applications. It is the objective of this paper to demonstrate that the structural dualities that are exhibited by the four quadrants of LIT are similar to those that were earlier identified by the author for the practical solution of stochastic control problems. More specifically, his 1978 conjecture of a structural-physical LT-certainty/IS-uncertainty duality between bit detection communication and deterministic quantized control problem solutions that led him to the discovery of a Matched Processors practical alternative to Bellman's Dynamic Programming.

Proceedings Article | 7 May 2009 Paper

On a nascent mathematical-physical latency-information theory, part II: the revelation of guidance theory for intelligence and life system designs

Erlan Feria

Proceedings Volume 7351, 73510V (2009) https://doi.org/10.1117/12.819057

KEYWORDS: Sensors, Telecommunications, Signal processing, Intelligence systems, Information theory, Integration, Computer programming, Molecules, Communication theory, Binary data

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Since its introduction more than six decades ago by Claude E. Shannon information theory has guided with two performance bounds, namely source-entropy H and channel capacity C, the design of sourced intelligence-space compressors for communication systems, where the units of intelligence-space are 'mathematical' binary digit (bit) units of a passing of time uncertainty nature. Recently, motivated by both a real-world radar problem treated in the first part of the present paper series, and previous uncertainty/certainty duality studies of digital-communication and quantizedcontrol problems by the author, information theory was discovered to have a 'certainty' time-dual that was named latency theory. Latency theory guides with two performance bounds, i.e. processor-ectropy K and sensor consciousness F the design of processing intelligence-time compressors for recognition systems, where the units of intelligence-time are 'mathematical' binary operator (bor) units of a configuration of space certainty nature. Furthermore, these two theories have been unified to form a mathematical latency-information theory (M-LIT) for the guidance of intelligence system designs, which has been successfully applied to real-world radar. Also recently, M-LIT has been found to have a physical LIT (P-LIT) dual that guides life system designs. This novel physical theory addresses the design of motion life-time and retention life-space compressors for physical signals and also has four performance bounds. Two of these bounds are mover-ectropy A and channel-stay T for the design of motion life-time compressors for communication systems. An example of a motion life-time compressor is a laser system, inclusive of a network router for a certainty, or multi-path life-time channel. The other two bounds are retainer-entropy N and sensor scope I for the design of retention life-space compressors for recognition systems. An example of a retention life-space compressor is a silicon semiconductor crystal, inclusive of a leadless chip carrier for an uncertainty, or noisy life-space sensor. The eight performance bounds of our guidance theory for intelligence and life system designs will be illustrated with practical examples. Moreover, a four quadrants (quadrants I and III for the two physical theories and quadrants II and IV for the two mathematical ones) LIT revolution is advanced that highlights both the discovered dualities and the fundamental properties of signal compressors leading to a unifying communication embedded recognition (CER) system architecture.

Proceedings Article | 5 May 2009 Paper

On a nascent mathematical-physical latency-information theory, part I: the revelation of powerful and fast knowledge-unaided power-centroid radar

Erlan Feria

Proceedings Volume 7351, 73510U (2009) https://doi.org/10.1117/12.819040

KEYWORDS: Radar, Antennas, Synthetic aperture radar, Curium, Particle filters, Image compression, Doppler effect, Signal to noise ratio, Interference (communication), Signal processing

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Proceedings Article | 22 April 2008 Paper

Latency-information theory and applications: Part II. On real-world knowledge aided radar

Erlan Feria

Proceedings Volume 6982, 698211 (2008) https://doi.org/10.1117/12.784549

KEYWORDS: Signal processing, Image compression, Radar, Sensors, Synthetic aperture radar, Telecommunications, Information theory, Biological detection systems, Image processing, Intelligence systems

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Proceedings Article | 14 April 2008 Paper

Latency-information theory and applications: Part III. On the discovery of the space dual of the laws of motion in physics

Erlan Feria

Proceedings Volume 6982, 698212 (2008) https://doi.org/10.1117/12.784551

KEYWORDS: Physics, Telecommunications, Quantum mechanics, Sensors, Motion models, Particles, Chromium, Signal processing, Modulation, Maxwell's equations

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Proceedings Article | 14 April 2008 Paper

Latency-information theory and applications: Part I. On the discovery of the time dual for information theory

Erlan Feria

Proceedings Volume 6982, 698210 (2008) https://doi.org/10.1117/12.784548

KEYWORDS: Signal processing, Sensors, Information theory, Telecommunications, Image compression, Physics, Radar, Binary data, Synthetic aperture radar, Image processing

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Proceedings Article | 19 May 2006 Paper

Compression-designs of SAR imagery used as prior knowledge

Erlan Feria

Proceedings Volume 6229, 62290J (2006) https://doi.org/10.1117/12.666403

KEYWORDS: Synthetic aperture radar, Radar, Image compression, Antennas, Signal processing, Intelligence systems, Image processing, Curium, Signals intelligence, Image resolution

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Proceedings Article | 12 May 2006 Paper

A bit planes predictive-transform source coder illustrated with SAR imagery

Erlan Feria, Dalibor Licul

Proceedings Volume 6250, 625004 (2006) https://doi.org/10.1117/12.666154

KEYWORDS: Synthetic aperture radar, Computer programming, Image compression, Data compression, JPEG2000, Radar, Wavelets, Signal to noise ratio, Matrices, Image processing

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Proceedings Article | 12 May 2006 Paper

The mathematical theory of signal processing and compression-designs

Erlan Feria

Proceedings Volume 6250, 62500J (2006) https://doi.org/10.1117/12.669455

KEYWORDS: Signal processing, Data compression, Radar, Image processing, Image compression, Digital signal processing, Intelligence systems, Synthetic aperture radar, Communication theory, Computer programming

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Proceedings Article | 12 May 2006 Paper

Compression-designs for knowledge-aided AMTI radar systems

Erlan Feria

Proceedings Volume 6250, 625003 (2006) https://doi.org/10.1117/12.669454

KEYWORDS: Radar, Antennas, Synthetic aperture radar, Signal processing, Image compression, Intelligence systems, Curium, Image processing, Image resolution, Data compression

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Showing 5 of 15 publications

Conference Committee Involvement (19)

Multimodal Image Exploitation and Learning 2024

22 April 2024 | National Harbor, Maryland, United States

Multimodal Image Exploitation and Learning 2023

1 May 2023 | Orlando, Florida, United States

Multimodal Image Exploitation and Learning 2022

4 April 2022 | Orlando, Florida, United States

Multimodal Image Exploitation and Learning 2021

12 April 2021 | Online Only, Florida, United States

Mobile Image Exploitation and Learning 2020

27 April 2020 | Online Only, California, United States

Mobile Multimedia/Image Processing, Security, and Applications 2019

15 April 2019 | Baltimore, MD, United States

Mobile Multimedia/Image Processing, Security, and Applications 2018

16 April 2018 | Orlando, FL, United States

Mobile Multimedia/Image Processing, Security, and Applications 2017

10 April 2017 | Anaheim, CA, United States

Mobile Multimedia/Image Processing, Security, and Applications 2016

18 April 2016 | Baltimore, MD, United States

Mobile Multimedia/Image Processing, Security, and Applications 2015

20 April 2015 | Baltimore, MD, United States

Mobile Multimedia/Image Processing, Security, and Applications 2014

5 May 2014 | Baltimore, MD, United States

Mobile Multimedia/Image Processing, Security, and Applications 2013

29 April 2013 | Baltimore, Maryland, United States

Mobile Multimedia/Image Processing, Security, and Applications 2012

23 April 2012 | Baltimore, Maryland, United States

Mobile Multimedia/Image Processing, Security, and Applications 2011

25 April 2011 | Orlando, Florida, United States

Mobile Multimedia/Image Processing, Security, and Applications 2010

5 April 2010 | Orlando, Florida, United States

Mobile Multimedia/Image Processing, Security, and Applications 2009

14 April 2009 | Orlando, Florida, United States

Mobile Multimedia/Image Processing, Security, and Applications 2008

19 March 2008 | Orlando, Florida, United States

Mobile Multimedia/Image Processing For Military And Security Applications 2007

11 April 2007 | Orlando, Florida, United States

Mobile Multimedia/Image Processing for Military and Security Applications

20 April 2006 | Orlando (Kissimmee), Florida, United States

Showing 5 of 19 Conference Committees

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