Magdi A Mohamed, Age 6510994 W Ocean Air Dr UNIT 280, San Diego, CA 92130

7117128, Oct 3, 2006

May 27, 2004

10/854836

Magdi A. Mohamed - Schaumburg IL, US
Weimin Xiao - Hoffman Estates IL, US

Motorola, Inc. - Schaumburg IL

G06F 15/00

702190, 702199, 706 22, 324 7628, 708300, 381 7111, 380208

A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is is based on an extension of the well-known Sugeno λ-Measure.

7406212, Jul 29, 2008

Jun 2, 2005

11/143169

Magdi A. Mohamed - Schaumburg IL, US
Irfan Nasir - Lake in the Hills IL, US

Motorola, Inc. - Schaumburg IL

G06K 9/36
G06F 17/14

382281, 382248, 708400

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.

7446694, Nov 4, 2008

May 30, 2007

11/755341

Mohamed I. Ahmed - Glendale Heights IL, US
Faisal Ishtiaq - Chicago IL, US
Magdi A. Mohamed - Schaumburg IL, US
Irfan Nasir - Lake in the Hills IL, US

Motorola, Inc. - Schaumburg IL

H03M 1/36

341160, 348321, 348294, 250237 G, 382313, 345173, 345156, 399 21

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.

7613758, Nov 3, 2009

Jul 12, 2005

11/179104

Weimin Xiao - Hoffman Estates IL, US
Magdi A. Mohamed - Schaumburg IL, US

Motorola, Inc. - Schaumburg IL

G06F 17/10

708300, 708322

A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is based on an extension of the well-known Sugeno λ-Measure. In order to optimize the Q-Filter kernel parameters, the value of an error function is minimized. The error function is based on difference between the filtered signal and target signal, with the target signal being a desired result of filtering.

7656978, Feb 2, 2010

Oct 31, 2006

11/554689

Magdi A. Mohamed - Schaumburg IL, US
Tom Mathew - Skokie IL, US
Irfan Nasir - Lake In The Hills IL, US

Motorola, Inc. - Schaumburg IL

H04B 1/10

375350, 382224, 702190, 708300, 713189

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 λ. 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.

7725409, May 25, 2010

Jun 5, 2007

11/758083

Chi Zhou - Vernon Hills IL, US
Magdi A. Mohamed - Schaumburg IL, US
Weimin Xiao - Hoffman Estates IL, US

Motorola, Inc. - Schaumburg IL

G06N 3/12

706 13, 7042561

Computer programs () and a programmed computer () for automatically generating computer programs (i. e. sequences of instructions) are provided. The computer programs () use Hidden Markov Models () to generate sequences of program tokens, e. g. , Gene Expression Programming chromosomes (). Parameters of the Hidden Markov Models () are numerically optimized, for example, by Differential Evolution with a goal of increasing the fitness of automatically generated programs.

7761392, Jul 20, 2010

Oct 31, 2006

11/554734

Magdi A. Mohamed - Schaumburg IL, US
Weimin Xiao - Hoffman Estates IL, US
Chi Zhou - Vernon Hills IL, US

Motorola, Inc. - Schaumburg IL

G06N 3/00
G06N 3/02
G06F 15/18

706 13

Signal processing networks () that include a configurable infinite logic aggregator () that can be configured as an infinite logic AND gate and infinite logic OR gate or as other gates along a continuum of function between the two by adjusting control signal magnitudes and a configurable infinite logic signal inverter () are provided. A method of designing such networks that includes a genetic programming program () e. g. , a gene expression programming program (), for designing the network topology, in combination with a numerical optimization (), e. g. , a hybrid genetic algorithm/differential evolution numerical optimization () for setting control signal values of the network and optionally other numerical parameters is provided.

7870180, Jan 11, 2011

Oct 31, 2006

11/554674

Magdi A. Mohamed - Schaumburg IL, US
Weimin Xiao - Hoffman Estates IL, US

Motorola, Inc. - Schaumburg IL

G06F 7/38

708445

A method () and apparatus () for aggregating two or more input signals with a versatile reconfigurable signal aggregator. The aggregator () is reconfigured by adjusting a control signal λ, and can emulate a range of union type signal aggregators, a range of intersection type signal aggregators, and a continuum of functions between the two, including a signal averager. The versatility of the aggregator () allows systems in which the aggregator () is incorporated to be highly adaptable, and thereby fosters improved machine learning.