Silicon Laboratories Inc.

Other

Mark Willard Johnson

Eric Jonathan Deal

Matthew Brandon Gately

Sebastian Ahmed

John P Frappier

Daniel Thomas Riedler

Junkang Ren

An apparatus includes a pipelined processor. The pipelined processor includes a pipeline and a hardware fence. The hardware fence detects if a hazard condition exists by comparing an address for an input operation with an address for an output operation.

Apparatus for processor with hardware fence and associated methods

An apparatus includes an array processor to process array data in response to a set of macro-instructions. A macro-instruction in the set of macro-instructions performs loop operations, array iteration operations, and/or arithmetic logic unit (ALU) operations.

Processor with macro-instruction achieving zero-latency data movement

An apparatus includes an array processor to process at least one array. The apparatus further includes a memory coupled to the array processor. The at least one array is stored in memory with programmable per-dimension size and stride values.

Array processor using programmable per-dimension size values and programmable per-dimension stride values for memory configuration

An apparatus includes an array processor to process array data. The array data are arranged in a memory. The array data are specified with programmable per-dimension size and stride values.

Array processor having an instruction sequencer including a program state controller and loop controllers

A device for training the muscles used during a golf club swinging motion. The device includes a connector coupled to the head of the golf club and a resilient and extensible tether having a proximal end for connection to the connector and a distal end for connection to a trainee's body. The device is used by causing the trainee to engage in a golf swing motion so that the tether provides resistance to the trainee's muscles in the sequence used to perform the swing.

Golf club swing training device and method

A method for displaying changes in spectral content of data signals over periods of time using a computer system. The method includes the steps of transforming time segments of digitized data signals into a frequency based spectral representation of the digitized data. The resulting spectral data are then grouped into appropriate frequency bins. Each frequency bin is normalized by the frequency range of the bin. The energy or power in each frequency bin is then multiplied by f, where f represents an estimate of the frequency of the bin, and n is an exponent which is used to normalize the frequency content of the data. A logarithmic value is then calculated for each frequency bin. The logarithmic value of each frequency bin for each time period is then mapped to a color or gray-scale value. Finally, the mapped color or gray-scale value is displayed on a computer monitor in the computer system as an image, where the signal frequency is represented along one axis, time is represented along a second axis, and the value of the energy or power at that given time and frequency is displayed as the color or gray-scale value assigned to that point.

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Austin, TX, United States of America

Mark Willard Johnson