Frontend
Frequency-Frame Covariance for Reactive-Power Scalarization
arXiv cs.SY0 views
arXiv:2611.05913v1 Announce Type: cross Abstract: Measured voltage and current waveforms may be represented in a reference frame whose frequency differs from the physical fundamental frequency. Reactive-power readouts calculated from such frequency-shifted coordinates may change if their readout operators are not transformed consistently. This paper presents a frequency-frame covariance formulation for finite-spectrum, zero-mean periodic waveforms with complete harmonic information over one physical period. A necessary and sufficient covariance condition is derived, requiring the readout operator to transform consistently with the waveform representation. Consequently, frequency-dependent harmonic weights must be evaluated at physical harmonic orders rather than relative frame labels. In particular, the derivative/Iliovici readout equals a relative-derivative contribution plus an explicit reference contribution. The formulation also separates readout-operator errors from errors caused by changes in the physical components retained by waveform projections. Three analytical cases illustrate conditional carrier recovery for a memoryless resistor, physical-frequency weighting at relative zero in an RLC branch, and the possibility that an exact reactive-power scalar can coexist with a substantial waveform error after projection. The scope is deterministic calculation consistency in frequency-shifted coordinates rather than instrument measurement uncertainty.
Source:https://arxiv.org/abs/2611.05913PreviousConditions for Normality of Pontryagin's Maximum Principle in the Absence of State ConstraintsNextSingle-sided lens terahertz flat-top beam shaping in the Fresnel region
Related posts
Improper Signaling for Clutter-Limited Angle Estimation in ISAC
0arXiv eess.SP
Intra-Cell Spatial Reuse in LEO Downlinks: Beam-Leakage-Aware Satellite Scheduling
0arXiv eess.SP
Interference-Aware Instantaneous Frequency and Amplitude Estimator for Multicomponent Signals
0arXiv eess.SP
Concentration of bounded sparse chaoses and sparse Khatri--Rao embeddings
0arXiv stat.TH
Go-Go-Go: the game of Go without turns
0arXiv cs.HC
ISAC-Assisted Proactive Handover in mmWave Networks: Value of Foresight and Localization Requirements
0arXiv eess.SY