Motorola Corporation

General Dynamics Decision Systems, in.

John B Gehman

Kerry Lucille Johns-Vano

Colleen Kane Steward

James Earl Womack

Steven Jeffrey Goldberg

Slim S Souissi

E Martin Hermesch

A process ( ) and design tool ( ) are presented for the accurate prediction of design parameters ( ) for components ( ) of an integrated circuit ( ) during the early stages of the design of that integrated circuit ( ). These predicted design parameters ( ) include pin count parameters ( ), propagation delay parameters ( ), layout area parameters ( ), dynamic power parameters ( ), static power parameters ( ), and total power parameters ( ). With these parameters, the designer interactively modifies the design prior to the layout and prototyping of the integrated circuit ( ). The dynamic power parameters ( ) and total power parameters ( ) may be repetitively predicted with differing input items to establish a power usage pattern for the integrated circuit ( ).

Electronic device parameter estimator and method therefor

A process (20) and design tool (62) are presented for the accurate prediction of design parameters (42) for components (38) of an integrated circuit (22) during the early stages of the design of that integrated circuit (22). These predicted design parameters (42) include pin count parameters (50), propagation delay parameters (52), layout area parameters (54), dynamic power parameters (56), static power parameters (58), and total power parameters (60). With these parameters, the designer interactively modifies the design prior to the layout and prototyping of the integrated circuit (22). The dynamic power parameters (56) and total power parameters (60) may be repetitively predicted with differing input items to establish a power usage pattern for the integrated circuit (22).

A process (20) is presented for determining the total routine energy (78) consumed by a processor (22) during the execution of a code routine (36). This total routine energy (78) is computed by determining the operation energy (76) consumed in the execution of each operating instruction (38) within the code routine (36). The operation energy (76) for each operating instruction (38) is computed by determining the average operation power (74) consumed during the execution of the operating instruction (38). The average operation power (74) for each operating instruction (38) is determined by determining an instruction power (90) and a summed-action power (92) for that operating instruction (38). The summed-action power (92) is the sum of action powers (96) computed through the use of an action formula (100) for each internal action (88) performed by the processor (22) in response to the operating instruction (38).

Processor power consumption estimator that using instruction and action

A messaging receiver (400) and corresponding system (100b) and method adaptable to a plurality of modulation formats including; a processor (401) having flexible resources (404), preferably software based, for receiving a signal to provide a modulation identifier, and a controller (403), coupled to the processor, for deploying the flexible resources responsive to the modulation identifier. Alternatively the messaging receiver includes a buffer (412) for storing a signal having a modulation format, and the processor processes the signal in accordance with the plurality of modulation formats so as to differentiate the modulation format, and the controller deploys the flexible resources responsive to the modulation format.

Modulation format adaptive messaging receiver and method thereof

Interference removal in spread spectrum signals, comprises the steps at a spread spectrum transmitter (10) of spreading information across a predetermined spectrum by phase modulating a repeating noise sequence (18), providing a spread spectrum signal and transmitting the spread spectrum signal. The method further comprises the steps at a receiver of receiving the spread spectrum signal along with interference (41) multiplying (42) the spread spectrum signal along with interference by a window function (44) providing a multiplied spread spectrum signal. The information is recovered by despreading the multiplied (48) spread spectrum signal using a reciprocal (50) of the spectrum of the repeating noise sequence to obtain a data spectrum with interference and subsequently normalize (52) to obtain a clean data spectrum. Alternatively the information can be recovered by substituting a corrupted magnitude spectrum with a prestored PN sequence magnitude spectrum (70) as shown by receiver (60).

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John B Gehman