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Deric W Waters

from Dallas, TX
Age ~47
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Also known as:
Deric Wayne Waters
Phone and address:
9509 Hilldale Dr, Dallas, TX 75231
(214) 718-6246
Related to:
Rachel HelerLygia Waters, 43Larry G Waters, 71Billy J Waters, 43Landey M Kane, 45Aurelian L Heler, 74Mary R Waters, 71Tabitha E Heler, 45
Connected to:
Aja J Waters, 31Alaina F Waters, 34Alastair N Waters, 58Alec Waters, 37Aleese L Waters, 29Allison R Waters, 54Alvin W Waters, 74Alysha M Waters, 79Alyson Waters, 69Anavie V Waters, 49

Deric Waters Phones & Addresses

  • 9509 Hilldale Dr, Dallas, TX 75231 (214) 718-6246
  • 8905 Clearwater Dr, Dallas, TX 75243
  • Vancouver, WA
  • Atlanta, GA
  • 5035 County Road 210, Wellington, TX 79095 (806) 216-0145
  • San Antonio, TX
  • Lubbock, TX
  • Austin, TX

Resumes

Resumes

Deric Waters Photo 1

Deric Waters

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Location:
9509 Hilldale Dr, Dallas, TX 75231
Industry:
Wireless
Skills:
Signal Processing
Languages:
English
Deric Waters Photo 2

Deric Waters

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Publications

Us Patents

Robust Detection Of Packet Types

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US Patent:
7957474, Jun 7, 2011
Filed:
Dec 29, 2006
Appl. No.:
11/618432
Inventors:
Deric Wayne Waters - Dallas TX, US
Srinath Hosur - Plano TX, US
Anuj Batra - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04K 1/10
US Classification:
375260
Abstract:
Disclosed herein is a system and method for determining the presence of rotated-BPSK modulation. In addition, disclosed herein is a system and method for determining if a received packet is a Legacy, Mixed-Mode, or Green-Field packet in accordance with the determination of the presence of rotated-BPSK modulation. The presence of a Green-Field packet may be determined by detecting if additional tones are being excited in an LTF symbol of the received packet and/or if a SIG field symbol following the LTF symbol is modulated by rotated-BPSK. The presence of a Mixed-Mode packet may be determined by detecting if the first four bits of the SIG field symbol following the LTF symbol are [1 1 0 1] and/or detecting if a symbol following an L-SIG symbol is modulated by rotated-BPSK. The presence of a Legacy packet may be determined by detecting if the symbol following the L-SIG symbol is modulated by BPSK.

Candidate List Generation And Interference Cancellation Framework For Mimo Detection

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US Patent:
7957484, Jun 7, 2011
Filed:
Oct 31, 2007
Appl. No.:
11/930259
Inventors:
Deric W. Waters - Dallas TX, US
Naftali Sommer - Rishon Le Zion, IL
Anuj Batra - Dallas TX, US
Srinath Hosur - Plano TX, US
Doron Burshtein - Ramat-Efal, IL
Rafi Dalla Torre - Givataim, IL
Oren Peles - Rehovot, IL
Daniel Wajcer - Beit Yeushua, IL
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04L 27/00
US Classification:
375267, 375340
Abstract:
A method and system for performing Multiple-Input Multiple-Output (“MIMO”) detection that reduces complexity by decomposing MIMO detection problem into two less complex problems, Candidate List generation and Interference Cancellation (“CLIC”). Embodiments of the CLIC framework parse an N element channel output into a first set containing S elements and a second set containing N−S elements. A first list of candidate vectors is generated from the first set of elements. A set of interference cancelled elements is generated by using the first list of candidate vectors to cancel interference from the second set of elements. A second list of candidate vectors is generated from the set of interference cancelled elements. A minimum cost is computed for each bit of the candidate vectors and from the costs a log-likelihood ratio is computed.

Candidate Generation

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US Patent:
7957493, Jun 7, 2011
Filed:
Oct 29, 2007
Appl. No.:
11/926625
Inventors:
Rafi Dalla Torre - Givataim, IL
Doron Burshtein - Ramat-Efal, IL
Oren Peles - Rehovot, IL
Deric W. Waters - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04L 27/06
US Classification:
375340, 375260, 375267, 375347
Abstract:
A method and system for generating a set of candidate symbols. A system includes a Multiple Input Multiple Output (“MIMO”) receiver. The receiver includes a candidate generation look-up table (“LUT”) that provides a list of candidate values for a transmitted symbol selected from a constellation of symbols. The candidate generation LUT stores candidate lists for a portion of the constellation of symbols. The portion of the constellation for which candidate lists are stored is selected according to a symmetry of the constellation. The LUT preferably provides a secondary constellation superimposed on a decision region of a primary constellation. The LUT also preferably includes an inner point of the primary constellation and outer points of the primary constellation. The primary and secondary constellations are preferably compressed by application of quadrant, mirror, and inner-point symmetries.

Parameterized Sphere Detector And Methods Of Using The Same

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US Patent:
7961826, Jun 14, 2011
Filed:
Oct 30, 2007
Appl. No.:
11/928863
Inventors:
Deric W. Waters - Dallas TX, US
Oren Peles - Rehovot, IL
Anuj Batra - Dallas TX, US
Srinath Hosur - Plano TX, US
Doron Burshtein - Ramat-Efal, IL
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04B 7/10
H04L 1/02
US Classification:
375347, 375340
Abstract:
A Multiple-input Multiple-Output (MIMO) receiver is provided. The MIMO receiver comprises a parameterized sphere detector having two search modes. During a first search mode, the parameterized sphere detector enumerates a number of best candidate vectors up to a fixed parameter value. During a second search mode, the parameterized sphere detector enumerates additional candidate vectors using a greedy search until a predetermined number of candidate vectors have been enumerated.

Systems And Methods For Hybrid-Mimo Equalization

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US Patent:
7974334, Jul 5, 2011
Filed:
Jan 30, 2008
Appl. No.:
12/022307
Inventors:
Deric W. Waters - Dallas TX, US
Anuj Batra - Dallas TX, US
Srinath Hosur - Plano TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H03H 7/30
H03H 7/40
H03K 5/159
US Classification:
375229
Abstract:
Embodiments provide systems and methods for a novel multiple-input multiple-output (MIMO) equalization technique that produces a channel matrix that contains partly real coefficients and partly complex coefficients, referred to herein as a hybrid-MIMO equalization. MIMO detectors can exploit the hybrid-MIMO equalization to reduce complexity. Some embodiments provide systems and methods for equalizing a communication channel comprising receiving as an input a channel output vector, dividing the input into two vectors, a first vector that remains a complex number and a second vector that contains only real numbers, separating the second vector into its real and imaginary components, and regrouping the first and second vectors into a hybrid channel output vector that contains both real and complex coefficients.

Systems And Methods For Efficient Channel Classification

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US Patent:
8023577, Sep 20, 2011
Filed:
Jan 31, 2008
Appl. No.:
12/024029
Inventors:
Tarkesh Pande - Dallas TX, US
Deric W. Waters - Dallas TX, US
Srinath Hosur - Plano TX, US
Anuj Batra - Dallas TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04B 17/00
H04B 3/46
H04Q 1/20
US Classification:
375260, 375316
Abstract:
Embodiments provide a system and method for efficiently classifying different channel types in an orthogonal frequency division multiplexing (OFDM) system. Embodiments quantify the frequency selectivity in a channel by measuring the variation in a particular channel statistic across sub-carriers in an OFDM system, involve minimal complexity in implementation, and can be used in a variety of scenarios. One embodiment is a method for classifying channels in an OFDM system, comprising measuring variation of at least one channel statistic across sub-carriers, quantifying the variation to determine a measurement value, and applying the measurement value to at least one threshold to classify the channel.

Dynamic Resource Allocation To Improve Mimo Detection Performance

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US Patent:
8040959, Oct 18, 2011
Filed:
Oct 29, 2007
Appl. No.:
11/926966
Inventors:
Deric W. Waters - Dallas TX, US
Naftali Sommer - Rishon le Zion, IL
Anuj Batra - Dallas TX, US
Srinath Hosur - Plano TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H04K 1/10
H04L 27/28
US Classification:
375260, 375346, 375347, 375356
Abstract:
A method and apparatus for detecting symbols in a Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (“MIMO-OFDM”) system. A MIMO-OFDM receiver includes a first detector that estimates a symbol of a first MIMO-OFDM sub-carrier and a second detector that estimates a symbol of a second MIMO-OFDM sub-carrier. The second detector differs in complexity from the first detector. A detector control block is coupled to the detectors. The detector control block assigns the first detector to process the first MIMO-OFDM sub-carrier and assigns the second detector to process the second MIMO-OFDM sub-carrier. The detector control block computes a list metric for a sub-carrier. Based on the list metric the detector control block assigns a candidate symbol list length to the detector processing the sub-carrier. Alternately, the detector control block assigns one of a variety of detector types to a sub-carrier based on the sub-carrier list metric.

Noise Variance Estimation

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US Patent:
8054914, Nov 8, 2011
Filed:
Jan 30, 2008
Appl. No.:
12/022461
Inventors:
Deric W. Waters - Dallas TX, US
Anuj Batra - Dallas TX, US
Srinath Hosur - Plano TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
H03K 9/00
H04L 27/00
US Classification:
375316
Abstract:
A method and system for estimating noise variance. A method for noise variance estimation comprises receiving a first multi-sample symbol and receiving a second multi-sample symbol. The first multi-sample symbol is subtracted from the second multi-sample symbol to produce a set of noise samples. The set of noise samples is used to produce a noise variance estimate. The noise variance estimate is applied in various tasks (e. g. channel estimation, log-likelihood ratio computation, and/or minimum mean squared error equalization) to process data provided to a user.
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Deric W Waters from Dallas, TX, age ~47 Get Report