Parameter estimation of exponentially damped sinusoids using a higher order correlation-based approach

Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications

“…The large amount of potential applications of such components is motivated by the fact that damped sinusoids are solutions for ordinary differential equations that often appear in physical system models [27,28,37,38]. For a long time, researchers have been designing systems and algorithms to estimate the parameters of damped sinusoids embedded in several signals [39][40][41][42][43][44][45][46].…”

Parameter estimation of superimposed damped sinusoids using exponential windows

“…In addition to the above methods, there are many tools available to preprocess (i.e., clean up) the raw data before any of the above methods is applied. The most popular ones of these tools are subspace decomposition (SD) [7,8] and higher order statistics (HOS) [12,13].…”

Performance analysis of natural frequency‐based multiple radar target recognition for multiple‐input–multiple‐output radar application

“…As the incident pulse passes across the target, specular reflections are returned from scattering centres, providing an early time response. Many schemes have been proposed to extract the natural frequency of radar target from its time domain response and from frequency domain response [3–13]. The late time response of a target can be decomposed into a sum of damped sinusoids oscillating at natural frequencies determined by the geometry of the target [1, 2].…”