Mar 2004 to Aug 2004 CarpenterIndependence Tube Marseilles, IL 1996 to 2002 Machine OperatorRolling Mills LaSalle, IL 1992 to 1996 Shipping/Receiving/Machine OperatorUnited States Navy San Diego, CA 1988 to 1991
Education:
Illinois Valley Community College Oglesby, IL 2014 CertificatePeru Township High School LaSalle, IL 1983 to 1987 automotive
Walmart Brandon, FL Oct 2012 to Jan 2013 Maintenance, Wax Crew, Over Night StockArby's Brandon, FL Mar 2012 to Oct 2012 Backline, Cashier, Maintenance, FryerFed-Ex Hagerstown, MD Feb 2011 to Apr 2011 Truck LoaderRuby Tuesday Waldorf, MD Jun 2010 to Oct 2010 Dishwasher/Food PrepTarget Hagerstown, MD Jun 2009 to Oct 2009 Back of the HouseWestern Maryland Hospital Center Hagerstown, MD May 2009 to Jun 2009 Food Service, Sanitation and Preparation
Mar 2006 to 2000 Self Employed Investor - TraderForeign Currency Markets Flower Mound, TX Oct 2007 to Mar 2008Foreign Currency Markets Grapevine, TX Oct 2006 to Sep 2007 WaiterSteak and Shake Grapevine, TX Jan 2006 to Oct 2006 Waiter
Education:
University of North Texas Denton, TX 2012 C++ and AccountingUniversity of Texas at Arlington Arlington, TX 2005 to 2006 FinanceBaylor University Waco, TX 2004 to 2005 Biology and Computer Science DoubleBaylor University
Georgetown University Hospital Orthopedics 3800 Reservoir Rd NW, Washington, DC 20007 (202)4448766 (phone), (202)4447804 (fax)
Education:
Medical School Medical College of Georgia School of Medicine Graduated: 2014
Languages:
English
Description:
Dr. Love graduated from the Medical College of Georgia School of Medicine in 2014. He works in Washington, DC and specializes in Orthopaedic Surgery. Dr. Love is affiliated with Medstar Georgetown University Hospital.
Methods and systems for performing iterative soft slicing methods are disclosed. A data signal is received and processed into individual data tones. A noise estimator provides noise estimates for each data tone. A beamformer utilizes the noise estimates to provide first and second components of a constellation point estimate. A ratio of the first and second components corresponds to the constellation point estimate. A soft slicer uses outputs from the beamformer and noise estimator to determine weighted constellation points without dividing the first component by the second component.
Low Complexity High Performance Decoder And Method Of Decoding For Communications Systems Using Multidimensional Signaling
David J. Love - Garland TX, US Srinath Hosur - Plano TX, US Anuj Batra - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H03D 1/00 H04L 27/06
US Classification:
375341
Abstract:
A reduced search space minimum distance decoding algorithm provides average probability of error performance close to that of optimal MAP decoding. The decoding algorithm provides dramatic complexity reductions compared with MAP decoding. A sub-optimal decoder receives signal vectors y. . . y. Soft output bits are generated as is a reduced search space V via a reduced search space table creation unit in response to the soft output bits and an estimated channel H. A signal vector b is generated via a maximum likelihood decoding unit in response to the reduced search space V and the signal vectors y. . . y.
Channel Norm-Based Ordering And Whitened Decoding For Mimo Communication Systems
David J. Love - Garland TX, US Srinath Hosur - Plano TX, US Anuj Batra - Dallas TX, US Tarik Muharemovic - Richardson TX, US Eko N. Onggosanusi - Allen TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H03D 1/00 H04L 27/06
US Classification:
375340
Abstract:
A channel norm-based ordering and whitened decoding technique (lower complexity iterative decoder) for MIMO communication systems performs approximately the same level of performance as an iterative minimum mean squared error decoder. Decoding a signal vector comprises receiving a signal vector y, multiplying the received signal vector yby a conjugate transpose of a channel matrix H*. A column vector zis generated. The entries of the column vector zare reordered and an estimated channel matrix {tilde over (H)} is generated. The estimated channel matrix {tilde over (H)} decomposed using a Cholesky decomposition and generating a triangular matrix L. Triangular matrix L is solved backwards and a signal vector {tilde over (s)}estimated. An estimate of the transmitted symbol vector Ŝis generated.
Low-Complexity Hierarchical Decoding For Communications Systems Using Multidimensional Qam Signaling
David J. Love - Garland TX, US Srinath Hosur - Plano TX, US Anuj Batra - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H03D 1/00 H04L 27/06
US Classification:
375340
Abstract:
A reduced search space minimum distance decoding method provides average probability of error performance close to optimal MAP decoding. The decoding algorithm provides dramatic complexity reductions compared with MAP decoding. A a sub-optimal decoder receives a collection of signal vectors y. . . y, with k denoting a positive integer and generates an estimated transmitted multidimensional symbol {tilde over (S)}. The estimated transmitted multidimensional symbol {tilde over (S)} is decoded using hierarchical subset decoding a subset is determined therefrom. A reduced search space V is generated and minimum distance decoding is used to decode the received symbol vectors y. . . yin the reduced search space V. one or more of the following: an estimated multidimensional symbol {tilde over (S)}, soft bit information, or hard bit information are cienerated therefrom.
Low-Complexity, Symbol-Based, Reduced Substreams Maximum Likelihood Decoder And Method For A Multiple-Input, Multiple-Output Communication System
David J. Love - Garland TX, US Srinath Hosur - Plano TX, US Anuj Batra - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H03D 1/00
US Classification:
375341, 375342
Abstract:
A greater likelihood decoder, a method of deriving a reduced substreams maximum likelihood (RSML) decoded symbol vector and a multiple-input, multiple-output (MIMO) receiver incorporating the decoder or the method. In one embodiment, the decoder includes: (1) a suboptimal decoder that analyzes a received symbol vector to generate substream indicators and a decoded symbol vector estimate, (2) weakest substreams decision logic, coupled to the suboptimal decoder, that receives the substream indicators and selects weakest ones thereof and (3) subspace search logic, coupled to the suboptimal decoder and the weakest substreams decision logic, that further selects a reduced substreams maximum likelihood (RSML) decoded symbol vector from a subspace of decoded symbol vector candidates derived from the decoded symbol vector estimate and the weakest ones.
Common Mode Signal Attenuation For A Differential Duplexer
Jose Cabanillas - San Diego CA, US Prasad S. Gudem - San Diego CA, US Sai Chong Kwok - Escondido CA, US David Love - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
H04B 1/46
US Classification:
455 83, 455 78, 455 82, 4552481, 343861
Abstract:
Techniques for attenuating undesired signal components from a differential duplexer are described. The duplexer provides a differential received signal at RX+ and RX− ports. This differential received signal includes an undesired common mode signal, which may come from a transmit signal. The common mode signal is attenuated with a common mode trap in an impedance matching network coupled to the RX+ and RX− ports. The matching network includes a first passive circuit coupled between the RX+ port and a first node, a second passive circuit coupled between the RX− port and a second node, and the common mode trap coupled between the first and second nodes. In one design, the common mode trap includes a first inductor coupled between the first node and a common node, a second inductor coupled between the second node and the common node, and a capacitor coupled between the common node and circuit ground.
Reduced Complexity Transmit Spatial Waterpouring Technique For Multiple-Input, Multiple-Output Communication Systems
David Love - Garland TX, US Srinath Hosur - Plano TX, US Anuj Batra - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04L027/20 H03H007/30
US Classification:
375299000, 375298000
Abstract:
A waterpouring system and method for use with a multiple-input, multiple-output (MIMO) transmitter. In one embodiment, the waterpouring system includes an encoding decision subsystem that selects a constellation combination based on gains in channels of the MIMO transmitter, and a vector modulator subsystem, coupled to the encoding decision system, that modulates a fixed number of bits in a bitstream with the constellation combination to generate a symbol vector. The waterpouring system also includes a normalization and precoding subsystem, coupled to the vector modulator subsystem, that weights the symbol vector based on the gains to yield a weighted symbol vector and distributes the weighted symbol vector among the channels.
Method And Apparatus For Interference Alignment In A Wireless Communication System
Bruno Clerckx - Seoul, KR Duck Dong Hwang - Yongin-si, KR Chun Kin Au Yeung - San Diego CA, US David James Love - West Lafayette IN, US Tae Joon Kim - West Lafayette IN, US
The present invention relates to a method and apparatus for interference alignment in a wireless communication system. A method in which a terminal aligns interferences in a wireless communication system, which includes a first base station governing a first cell and a second base station governing a second cell, comprises: a step in which the terminal measures a serving channel from the first base station which is a serving base station and an interference channel from the second base station; a step of transmitting null space information orthogonal to the interference channel to the first base station; a step of measuring channels from the first base station and the second base station to which an inference alignment plane generated based on the null space information is applied, and generating a receiving filter; and a step of transmitting, to the first base station, the interference alignment plane, the receiving filter, and effective channel measurement value based on the channel from the first base station.
Youtube
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I am originally from Kingston, ON. I have lived in Vancouver, B.C. for the past 15 years.
Bragging Rights:
I once was an international level snowboard competitor.
David Love
Work:
MUSIC ROMANTIC
About:
ROMANTIC LOVE...MUSICIAN...POET PEACE Sin autorización previa y por escrito; la información de ésta página no puede ser utilizada ni modificada para envíos de correo sin autorización en cumplimiento...
Tagline:
DAVID IM LOVE
David Love
Work:
Just Bartending
About:
Just Bartending is a private professional bartending service for events of all sizes
David Love
Education:
University of Cambridge - Physics
David Love
About:
We are going to be a part of the gaming community to bring you entertainment of many sorts like gaming, drawing, and/or animation
Warren Elementary School Atlanta GA 1968-1973, Pleasantdale Elementary School Doraville GA 1970-1972, Huntley Hills Elementary School Chamblee GA 1972-1975, Open Campus / Kittredge High School Atlanta GA 1979-1982
Community:
Steven Palmer, Sheryl Thomas, Dave Yenerall, Johnny Malone