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• W2069859079 abstract "Time-frequency (TF) representations are a powerful tool for analyzing Doppler and micro-Doppler signals. These signals are frequently encountered in various radar applications. Data interpolators play a unique role in TF signal representations under missing samples. When applied in the instantaneous autocorrelation domain over the time variable, the low-pass filter characteristic underlying linear interpolators lends itself to cross-terms reduction in the ambiguity domain. This is in contrast to interpolation performed over the lag variable or a direct interpolation of the raw data. We demonstrate the interpolator performance in both the time domain and the time-lag domain and compare it with sparse signal reconstruction, which exploits the local sparsity property assumed by most Doppler radar signals." @default.
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• W2069859079 date "2015-01-01" @default.
• W2069859079 modified "2023-10-18" @default.
• W2069859079 title "Time-Frequency Signal Representations Using Interpolations in Joint-Variable Domains" @default.
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• W2069859079 doi "https://doi.org/10.1109/lgrs.2014.2332162" @default.
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