Abstract: 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).

Abstract: An advanced signal processing technique accurately discriminates and estimates a small sinusoidal signal in close proximity from one or more large sinusoidal signals. The technique involves using digital processing techniques to accurately estimate the frequency (96), amplitude (94) and phase (98) of the one or more large sinusoids and then using this estimate to obtain an accurate estimate of the small sinusoidal signal by subtracting the large sinusoid from the data to obtain a residual and reprocessing the residual.