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Sharper $N$-D Heisenberg's Uncertainty Principle

Zhichao Zhang, Xi-Ya Shi, An-Yang Wu, Dong Li

2021IEEE Signal Processing Letters27 citationsDOI

Abstract

A sharper uncertainty inequality which exhibits a lower bound tighter than that in the classical N-dimensional Heisenberg's uncertainty principle is obtained. The condition that reaches an equality relation of the uncertainty inequality is deduced. Example and simulations are carried out to illustrate that the newly derived uncertainty principle is truly sharper than the classical one. The new proposal's applications in time-frequency analysis, optical signal processing and physical optics propagation are also given.

Topics & Concepts

Uncertainty principleMathematicsEntropic uncertaintyUpper and lower boundsGeometrical opticsSignal processingApplied mathematicsPhysicsMathematical analysisQuantum mechanicsComputer scienceTelecommunicationsQuantumRadarMathematical Analysis and Transform MethodsImage and Signal Denoising MethodsSparse and Compressive Sensing Techniques
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