Motorola Corporation

Motorola Mobility LLC

Google Technology Holdings LLC

Irfan Nasir

Magdi A Mohamed

Jon Lindsay Schindler

Tom Mathew

Weimin Xiao

Faisal Ishtiaq

Sanjay Gupta

Robert Michael Johnson, Jr

Robert M Johnson, Jr

Francis P Bourque

Mohamed I Ahmed

This document describes techniques () and apparatuses () for peripheral authentication. These techniques () and apparatuses () may configure data lines for authentication between host device () and peripheral (), use these configured data lines to authenticate the peripheral (), and then reconfigure the data lines for use.

Peripheral authentication

A recursive lambda rule engine () includes a first multiplier () that sequentially multiplies each of series of inputs by a nonlinearity determining parameter and supplies results to a second multiplier () that multiplies the output of the first multiplier () by a previous output of the engine (). A three input adder () sequentially sums the output of the second multiplier (), inputs from the series of inputs, and the previous output of the engine (). A shift register () is used to feedback the output of the engine () to the three input adder () and second multiplier (). A MUX () is used to route an initial value through the shift register () for the first cycle of operation.

Hardware arithmetic engine for lambda rule computations

A method and apparatus for selective control of display data sequencing in a mobile computing device is disclosed. The method may include storing a plurality of display data sequencing instruction sets in a memory of the mobile computing device, each of the display data sequencing instruction sets being usable for transferring data in accordance with a different sequencing of display data than other ones of the display data sequencing instruction sets, receiving an indication of a particular type of display data sequencing to be used, selecting one of the display data sequencing instruction sets based on the received indication of the particular type of display data sequencing to be used, transferring data for display based on the selected one of the display data sequencing instruction sets, and controlling the transfer of data to the display device in order to synchronize the data transfer with the data and timing requirements of the display device.

Method and apparatus for selective access of display data sequencing in mobile computing devices

An nonlinear digital signal processing filter () maintains a magnitude ordering for successive windows of signal samples. A set of filter density generator values [f, f, f. . . f. . . f] are used according to the ordering in a recursion relation that computes successive values of a set function over the set of filter density generator values. The recursion relation involves an adjustable nonlinearity defining parameter &#x3bb;. The values are normalized by dividing by a largest of the values, and differences between successive values are taken. An inner product between each window of signal values (used in order according to magnitude) and the adaptive differences is a filtered signal sample.

Fast Q-filter

A multi-sensor system includes a first analog sensor sub-system, a second analog sensor sub-system, and a system for synchronizing the outputs of the first and second analog sub-systems. Each analog sensor sub-system includes a sensor that produces an analog output. Each sensor is coupled to analog circuitry that processes the output from the sensor. The system for synchronizing the outputs of the first and second analog sensor sub-systems simultaneously inserts a marker into the outputs of the first and second analog sensors. Then, the outputs of the analog circuitry of the first and second analog sub-systems are synchronized based upon the marker. The marker signal may be produced using a Barker sequence signal generator.

System for synchronization of multi-sensor data

In a parallel computation of a Hough transform of an array of input data values, the transform space of the Hough transform is partitioned dynamically or statically into a number of sub-spaces. Each sub-space of the transform is stored in a sub-space of memory locations. Data values from the array of input data values are passed to a plurality of processors, each processor associated dynamically or statically with a sub-space of memory locations. Each processor, acting in parallel with the other processors, updates constituent elements of the Hough transform stored in the associated sub-space memory locations dependent upon the input data value.

Growing community of inventors

Lake in the Hills, IL, United States of America

Irfan Nasir