Tensorcomm, Incorporated

Data Fusion Corporation

Other

Iii Holdings 1, LLC

Rambus Inc.

Priv8pay, Inc.

Zact Inc.

John K Thomas

Eric S Olson

Anand P Narayan

Wolfgang Kober

Marvin L Vis

Gopalakrishnan Hariharan

Ioannis Georgiadis

Vijay Nagarajan

Prashant Jain

Robert Kent Krumvieda

Michael Lee McCloud

Anand Narayan

Louis L Scharf

Kent Krumvieda

Woody Kober

Eric B Olson

Implementations described herein relate to dynamic and predictive updating of a payment attribute of a payment instrument. In some implementations, the method includes receiving, at a computing device, route data for a plurality of trips, receiving, at the computing device, first trip data for the first trip from the user device, wherein the first trip data includes at least location data of the user device, calculating, based on the received first trip data, a fuel likelihood score for the first trip, comparing the fuel likelihood score to a first threshold, based on a determination that the fuel likelihood score meets the first threshold: transmitting, to a computer associated with a payment network, a message to update one or more payment attributes stored at the payment network and associated with the first payment instrument, and displaying an indication that the first payment instrument is approved for the fuel transaction.

Dynamic and predictive adjustment of payment attributes based on contextual data and metadata

A verification system, includes: an arithmetic/logic unit ('ALU') to perform one or more mathematical operations and compare selected variables; a register to hold a value from a comparison of selected variables performed by the ALU; an instruction decoder to provide read and write commands to memory; an address bus to provide an address to memory for a read or write operation; and a data bus to provide or access data for a write or read operation to or from memory, wherein the ALU generates and provides a recipient identifier to a target computational device, the recipient identifier being related to an identity of the target computational device and/or a target device human operator, and write the recipient identifier to memory in response to a write command issued by the instruction decoder and, as a part of a transaction, the ALU receives, from a user computational device of a first user, the recipient identifier and a credential of the first user and/or user computational device, compares each of the recipient identifier and credential against one or more stored values, and, when each of the comparisons match, causes information provider system to provide restricted information to the target computational device to enable the target computational device to perform an operation.

Verification system for secure transmission in a distributed processing network

An authentication technique is disclosed that uses a distributed secure listing of transactions that includes encrypted data that can be used to authenticate a principal to a verifier.

Network node authentication

A system allows for conducting the financial and commercial (buying, selling, donating, gifting and paying) transactions that leverage communication devices to avoid the disclosure of a user's payment information. The payee (seller, seller's agent, receiver of funds, etc.) provides information or a token to the payer (buyer, buyer's agent, or any other provider of funds) who then directs funds to that token. In other words, rather than the payer providing information that is used by the payee to 'pull' funds from the payer, the system allows a payee to provide information to which a payer 'pushes' a payment. Since the payment is &#x201c;pushed&#x201d; by a customer, and often, but not always, using some type of a communication and/or computing device, the point-of-sale (POS) terminal has essentially been transferred from the merchant to the customer.

Private payment and purchasing system

A multi-mode receiver includes a channel decomposition module (e.g., a Rake receiver) for separating a received signal into multipath components, an interference selector for selecting interfering paths and subchannels, a synthesizer for synthesizing interference signals from selected sub channel symbol estimates, and an interference canceller for cancelling selected interference in the received signal. At least one of the channel decomposition module, the synthesizer, and the interference canceller are configurable for processing multi-mode signals.

Advanced signal processors for interference cancellation in baseband receivers

The present invention provides systems and methods for parallel interference suppression. In one embodiment of the invention, a processing engine is used to substantially cancel a plurality of interfering signals within a received signal. The processing engine includes a plurality of matrix generators that are used to generate matrices, each matrix comprising elements of a unique interfering signal selected for cancellation. The processing engine also includes one or more processors that use the matrices to generate cancellation operators. A plurality of applicators applies the cancellation operators to parallel but not necessarily unique input signals to substantially cancel the interfering signals from the input signals. These input signals may include received signals, interference cancelled signals and/or PN codes.

Systems and methods for parallel signal cancellation

A receiver includes a first finger that receives a non-interference-cancelled signal and output first demodulated data, a first phase estimate, and a first PN code. The receiver also includes a second finger that selectively receives the non-interference-cancelled signal and a first interference-cancelled signal generated from the non-interference-cancelled signal based on the first phase estimate and the first PN code. The second finger also outputs second demodulated data.

A receiver produces optimal weights for cancelling multipath interference. An SINR measurement module generates SINR measurements corresponding to soft symbol estimates produced by a baseband receiver from a received multipath signal. Each soft symbol estimate is replaced with either a hard estimate or a weighted soft estimate based on how each corresponding SINR measurement compares to a predetermined threshold. The received multipath signal and estimated interference signals generated from the hard symbol estimates and/or the weighted soft symbol estimates are combined to produce interference cancelled signals that may be combined via maximum ratio combining to produce an interference-cancelled MRC signal.

Optimal feedback weighting for soft-decision cancellers

An interference cancelling receiver combines data from multiple paths after aligning to transmitter timing, and uses either an equalizer or a Rake receiver to compute symbol estimates. Interference estimates are generated from the symbol estimates, and multiple interference estimates are combined after re-aligning the interference estimates to receiver timing. At least two segments of symbol estimates are computed for each segment of interference cancelled data. Various techniques may be employed for controlling the latency and sequencing of these operations, and the subsystems within the canceller may use different processing clock speeds.

Serial cancellation receiver design for a coded signal processing engine

A receiver in a CDMA system comprises a front end processor that generates a combined signal per source. A symbol estimator processes the combined signal to produce symbol estimates. An S-Matrix Generation module refines these symbol estimates based on the sub channel symbol estimates. An interference canceller is configured for cancelling interference from at least one of the plurality of received signals for producing at least one interference-cancelled signal.

Method and apparatus for interference suppression with efficient matrix inversion in a DS-CDMA system

The present invention provides systems and methods for interference matrix construction. Such an interference matrix may be used to generate a cancellation operator that when applied to a signal may substantially remove selected interfering signals. In one embodiment of the invention, a system comprises an interference selector configured for selecting one or more interferers for interference cancellation. The system also comprises a matrix generator communicatively coupled to the interference selector and configured for receiving selected interferers from the interference selector. The matrix generator is also configured for generating a matrix having one or more vectors, wherein each vector comprises elements of at least one of the selected interferers. Such an interference matrix and the subsequent generation of the cancellation operator may advantageously provide interference cancellation to systems employing CDMA (e.g., such as cdmaOne and cdma2000), WCDMA, Broadband CDMA, UMTS and GPS signals.

Interference matrix construction

The present invention provides systems and methods for signal cancellation with a receiver. The receiver comprises a discretizer configured for generating digital signals at different resolutions from a received analog signal. Processing fingers of the receiver generate spreading codes from at least one of the digital signals while a Coded Signal Processing Engine ('CSPE') substantially cancels interference from at least another one of the digital signals. The spreading codes are transferred to the CSPE where they may be used to construct an interference matrix. One or more cancellation operators may be generated and subsequently applied to the digital signal(s) input to the CSPE to substantially cancel the interference therefrom. The CSPE may adjust the number of bits of the substantially interference cancelled signal(s) to meet a requisite bit width or dynamic range of the receiver. The substantially cancelled signal(s) is then transferred to the processing fingers for further processing.

Growing community of inventors

Erie, CO, United States of America

John K Thomas