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In this paper, we present a method using singular value decomposition (SVD) which aims at eliminating the random noise and direct wave from ground penetrating radar (GPR) signal. To demonstrate the validity and high efficiency of the eliminating random noise method using SVD, we first tested our proposed method with noisy synthetic data and field data. Then we carried out de-noising process using...
A likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on the soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma yields simple achievability proofs for classical source coding problems. The cases of the point-to-point rate-distortion function, the rate-distortion function...
A likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma recovers the point-to-point rate-distortion function, the rate-distortion function with side information at the decoder, and several other important inner bounds...
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