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All Articles in Signal Processing

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917 full-text articles. Page 1 of 26.

Signal Processing Based On Stable Radix-2 Dct I-Iv Algorithms Having Orthogonal Factors, Sirani K. M. Perera 2016 Embry-Riddle Aeronautical University - Daytona Beach

Signal Processing Based On Stable Radix-2 Dct I-Iv Algorithms Having Orthogonal Factors, Sirani K. M. Perera

Electronic Journal of Linear Algebra

This paper presents stable, radix-2, completely recursive discrete cosine transform algorithms DCT-I and DCT-III solely based on DCT-I, DCT-II, DCT-III, and DCT-IV having sparse and orthogonal factors. Error bounds for computing the completely recursive DCT-I, DCT-II, DCT-III, and DCT-IV algorithms having sparse and orthogonal factors are addressed. Signal flow graphs are demonstrated based on the completely recursive DCT-I, DCT-II, DCT-III, and DCT-IV algorithms having orthogonal factors. Finally image compression results are presented based on the recursive 2D DCT-II and DCT-IV algorithms for image size 512 by 512 pixels with transfer block sizes 8 by 8, 16 by 16, and 32 ...


Prosense, Johnny Favazza II, Casey Glasgow, Matt Epperson 2016 California Polytechnic State University, San Luis Obispo

Prosense, Johnny Favazza Ii, Casey Glasgow, Matt Epperson

Computer Engineering

This project aims to gather advanced data sets from MEMS sensors and GPS and deliver it to the user, who can capitalize on the data. The once negligible half-degree difference of your board barreling down a wave can be recorded from a gyro and exploited for the perfect turn. The exact speed dreaded by longboarders where speed wobbles turn into a road rash can be analysed and consequently avoided. Ascertaining the summit of your flight using combined GPS sensors from the ski ramp allows for the correct timing of tricks. When it comes to pursuing excellence in professional sports, amateur ...


El Capitán: Cal Poly Rose Float Digital Drive System, Gregory Raffi Baghdikian 2016 California Polytechnic State University, San Luis Obispo

El Capitán: Cal Poly Rose Float Digital Drive System, Gregory Raffi Baghdikian

Computer Engineering

In today’s world of smartphones, self-driving cars, and internet-connected coffee makers, it seems as if computers are contained in everything around us. These “embedded systems” have become critical components of our lives, improving everything about the things they control, from cost, to speed, to simplicity. One area that embedded systems has hardly gained a foothold is in the world of floatbuilding. Most of the floats in the Tournament of Roses Parade, including the one built jointly by Cal Poly San Luis Obispo and Cal Poly Pomona, are technologically very simple, using mostly analog components and rudimentary discrete digital logic ...


Double Alternating Minimization (Dam) For Phase Retrieval In The Presence Of Poisson Noise And Pixelation, Weimin Zhou 2016 Washington University in St. Louis

Double Alternating Minimization (Dam) For Phase Retrieval In The Presence Of Poisson Noise And Pixelation, Weimin Zhou

Engineering and Applied Science Theses & Dissertations

Optical detectors, such as photodiodes and CMOS cameras, can only read intensity information, and thus phase information of wavefronts is lost. Phase retrieval algorithms are used to estimate the lost phase and reconstruct an accurate effective pupil function, where the squared modulus of its Fourier transform is detected by a camera. However, current algorithms such as the Gerchberg-Saxton algorithm and Fienup-style algorithm do not consider the detector sampling rate and shot noise introduced by photon detection. If the sampling rate is low, we must interpolate the detected image in order to accurately reconstruct its pupil function. Here, we develop an ...


3-D Shape Recovery From A Single Camera Image, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo 2016 Purdue University

3-D Shape Recovery From A Single Camera Image, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo

MODVIS Workshop

3-D shape recovery is an ill-posed inverse problem which must be solved by using a priori constraints. We use symmetry and planarity constraints to recover 3-D shapes from a single image. Once we assume that the object to be reconstructed is symmetric, all that is left to do is to estimate the plane of symmetry and establish the symmetry correspondence between the various parts of the object. The edge map of the image of an object serves as a good representation of its 2-D shape and establishing symmetry correspondence means identifying pairs of symmetric curves in the edge map. The ...


An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann 2016 University of Tübingen

An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann

MODVIS Workshop

No abstract provided.


Implementation Of The Continuous Space Language Model On A Heterogeneous Mobile Processor, Kurt Spencer Shively 2016 Indiana University - Purdue University Fort Wayne

Implementation Of The Continuous Space Language Model On A Heterogeneous Mobile Processor, Kurt Spencer Shively

Masters' Theses

Mobile processors continue to increase in performance while becoming more power efficient, providing consumers with improved gaming, multi-media, and browsing, along with longer lasting device usage. To keep up with consumer multimedia demand, mobile processor manufacturers have begun to integrate Graphical Processing Units (GPU) on mobile processors, providing users with the high performance graphics required for mobile gaming applications. The addition of integrated GPUs to the mobile processors also offers new opportunities for introducing to the mobile platform computationally intensive algorithms that were formerly impractical when running on the mobile CPU processor alone. GPU manufacturers such as NVIDIA are scaling ...


Using Labview For Signal Processing And Noise Reduction For Flow Cytometry, Jacob Feddersen 2016 Iowa State University

Using Labview For Signal Processing And Noise Reduction For Flow Cytometry, Jacob Feddersen

Honors Projects and Posters

Flow cytometry is a method by which microparticles and cells in a stream of fluid can be measured. Most currently available cytometers are very large and expensive because they require equipment such as lasers and optics. Our goal was to create a basic lightweight, inexpensive cytometer. The sensor works by passing the fluid with the particles through a specially designed microchannel that forces the particles to flow through in single file. The particles are measured by taking into account their optical properties; an LED of a specific frequency is shined on the particles which excites them, causing them to emit ...


Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, Jared L. Newman, Grayson H. Dearing, Luke M. Tomlinson, Frederick G. Harmon 2016 Cedarville University

Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, Jared L. Newman, Grayson H. Dearing, Luke M. Tomlinson, Frederick G. Harmon

The Research and Scholarship Symposium

Motivated by high energy costs, people and organizations want to cut back on their energy consumption. However, the only feedback consumers typically receive is a monthly bill listing their total electricity usage (in kWh). Some companies have begun developing systems that allow households and organizations to monitor their energy usage for individual circuits. Available systems are expensive so a CU engineering senior design team has designed, fabricated, and tested a system for use at Cedarville University. The AC power monitoring system has the ability to measure energy consumption for each individual circuit in the breaker panel, store the data, and ...


Novel Convergence Results In Nonlinear Filtering, Jennifer Lynn Bonniwell 2016 Marquette University

Novel Convergence Results In Nonlinear Filtering, Jennifer Lynn Bonniwell

Dissertations (2009 -)

In this dissertation, the discrete-time extended Kalman filter is analyzed for its ability to attenuate finite-energy disturbances, known as the H-infinity property. Though the extended Kalman filter is designed to be a locally optimal minimum variance estimator, this dissertation proves that it has additional properties, such as H-infinity. This analysis is performed with the extended Kalman filter in direct form. Since this form reduces assumptions placed on the system in previous works on convergence and H-2 properties of the extended Kalman filter, the extended Kalman filter used as a nonlinear observer for noise-free models is revisited using the direct form ...


Spatio-Spectral Sampling And Color Filter Array Design, Keigo Hirakawa, Patrick Wolfe 2016 University of Dayton

Spatio-Spectral Sampling And Color Filter Array Design, Keigo Hirakawa, Patrick Wolfe

Keigo Hirakawa

Owing to the growing ubiquity of digital image acquisition and display, several factors must be considered when developing systems to meet future color image processing needs, including improved quality, increased throughput, and greater cost-effectiveness. In consumer still-camera and video applications, color images are typically obtained via a spatial subsampling procedure implemented as a color filter array (CFA), a physical construction whereby only a single component of the color space is measured at each pixel location. Substantial work in both industry and academia has been dedicated to post-processing this acquired raw image data as part of the so-called image processing pipeline ...


Coffee Queue Project, George Dimitrov Gargov 2016 California Polytechnic State University - San Luis Obispo

Coffee Queue Project, George Dimitrov Gargov

Master's Theses and Project Reports

In this paper, a computer vision system for counting people standing in line is presented. In this application, common techniques such as Adaptive Background Subtraction (ABS), blob tracking with Kalman filter, and occlusion resistive techniques are used to detect and track people. Additionally, a novel method using Dual Adaptive Background Subtractors (DABS) is implemented for dynamically determining the line region in a real-world crowded scene, and also as an alternative target acquisition to regular ABS. The DABS technique acts as a temporal bandpass filter for motion, helping identify people standing in line while in the presence of other moving people ...


A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew Lakin, Christof Teuscher, Darko Stefanovic 2016 University of New Mexico

A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew Lakin, Christof Teuscher, Darko Stefanovic

Christof Teuscher

Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir. A readout layer is then trained to reconstruct a target output from the reservoir's state. The multitude of RC architectures and evaluation metrics poses a challenge to both practitioners and theorists who study the task-solving performance and computational power of RC. In addition, in contrast to traditional computation models, the reservoir is a dynamical system in which computation and memory are inseparable, and therefore hard to analyze. Here, we ...


Applications In Low-Power Phased Array Weather Radars, Robert A. Palumbo Jr 2016 University of Massachusetts Amherst

Applications In Low-Power Phased Array Weather Radars, Robert A. Palumbo Jr

Doctoral Dissertations May 2014 - current

Low-cost X-band radars are an emerging technology that offer significant advantages over traditional systems for weather remote sensing applications. X-band radars provide enhanced angular resolution at a fraction of the aperture size compared to larger, lower frequency systems. Because of their low cost and small form factor, these radars can now be integrated into more research and commercial applications. This work presents research and development activities using a low-cost, X-band (9410 MHz) Phase-Tilt Radar. The phase-tilt design is a novel phased array architecture that allows for rapid electronic scanning in azimuth and mechanical tilting in elevation, as a compromise between ...


Rapid Optical Ptychographic Prototyping With Broad Bandwidth Illumination, Jonathan T. Reichanadter 2016 University of Colorado, Boulder

Rapid Optical Ptychographic Prototyping With Broad Bandwidth Illumination, Jonathan T. Reichanadter

Undergraduate Honors Theses

The focus of the experiment is to construct an optical CDI microscope for rapid prototype development of techniques and algorithms for multicolor experiments. CDI is often accomplished using a monochromatic beam, but in this experiment the probe will be polychromatic. This multicolor illumination ptychography offers probe and object characterization for each color, meaning that ptychography identifies the spectral response of the object. In my research I explore multicolor ptychography using a broad bandwidth illumination.


Analysis Of Vocal Fold Kinematics Using High Speed Video, Harikrishnan Unnikrishnan 2016 University of Kentucky

Analysis Of Vocal Fold Kinematics Using High Speed Video, Harikrishnan Unnikrishnan

Theses and Dissertations--Electrical and Computer Engineering

Vocal folds are the twin in-folding of the mucous membrane stretched horizontally across the larynx. They vibrate modulating the constant air flow initiated from the lungs. The pulsating pressure wave blowing through the glottis is thus the source for voiced speech production. Study of vocal fold dynamics during voicing are critical for the treatment of voice pathologies. Since the vocal folds move at 100 - 350 cycles per second, their visual inspection is currently done by strobosocopy which merges information from multiple cycles to present an apparent motion. High Speed Digital Laryngeal Imaging(HSDLI) with a temporal resolution of up to ...


Information-Theoretic Secure Outsourced Computation In Distributed Systems, Zhaohong Wang 2016 University of Kentucky

Information-Theoretic Secure Outsourced Computation In Distributed Systems, Zhaohong Wang

Theses and Dissertations--Electrical and Computer Engineering

Secure multi-party computation (secure MPC) has been established as the de facto paradigm for protecting privacy in distributed computation. One of the earliest secure MPC primitives is the Shamir's secret sharing (SSS) scheme. SSS has many advantages over other popular secure MPC primitives like garbled circuits (GC) -- it provides information-theoretic security guarantee, requires no complex long-integer operations, and often leads to more efficient protocols. Nonetheless, SSS receives less attention in the signal processing community because SSS requires a larger number of honest participants, making it prone to collusion attacks. In this dissertation, I propose an agent-based computing framework using ...


Monitoring Voip Speech Quality For Chopped And Clipped Speech, Andrew Hines, Jan Skoglund, Anil C. Kokaram, Naomi Harte 2016 Dublin Institute of Technology

Monitoring Voip Speech Quality For Chopped And Clipped Speech, Andrew Hines, Jan Skoglund, Anil C. Kokaram, Naomi Harte

Articles

No abstract provided.


Electromagnetic Scattering Models For Insar Correlation Measurements Of Vegetation And Snow, Yang Lei 2016 University of Massachusetts - Amherst

Electromagnetic Scattering Models For Insar Correlation Measurements Of Vegetation And Snow, Yang Lei

Doctoral Dissertations May 2014 - current

Interferometric Synthetic Aperture Radar (InSAR) has proved successful and efficient in measuring the vertical structure of the distributed targets such as vegetation and snow, which are dominated by volume scattering. In particular, the InSAR correlation measurement has been utilized to retrieve the target vertical structural information. One existing and well-known electromagnetic scattering model of the InSAR correlation was first brought forward focusing on the single-pass InSAR observation of a sparse random medium like vegetation. However, the lack of the adaption of this InSAR scattering model for repeat-pass InSAR observation of vegetation as well as for single-pass InSAR observation of snow ...


Design, Analysis, Implementation And Evaluation Of Real-Time Opportunistic Spectrum Access In Cloud-Based Cognitive Radio Networks, Nimish Sharma 2016 Georgia Southern University

Design, Analysis, Implementation And Evaluation Of Real-Time Opportunistic Spectrum Access In Cloud-Based Cognitive Radio Networks, Nimish Sharma

Electronic Theses & Dissertations

Opportunistic spectrum access in cognitive radio network is proposed for remediation of spectrum under-utilization caused by exclusive licensing for service providers that are intermittently utilizing spectrum at any given geolocation and time. The unlicensed secondary users (SUs) rely on opportunistic spectrum access to maximize spectrum utilization by sensing/identifying the idle bands without causing harmful interference to licensed primary users (PUs). In this thesis, Real-time Opportunistic Spectrum Access in Cloud-based Cognitive Radio Networks (ROAR) architecture is presented where cloud computing is used for processing and storage of idle channels. Software-defined radios (SDRs) are used as SUs and PUs that identify ...


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