In this paper, we analyze the performance of scalar quantization based data hiding techniques with decreasing coversignal sizes under mean squared error distortion measure. We introduce a new scheme, called multiple codebook data hiding, that enables conventional embedding/detection techniques to utilize the permitted embedding distortion more efficiently. The proposed method treats the embeddi...

We introduce the idea of distortion side information, which does not directly depend on the source but instead affects the distortion measure. We show that such distortion side information is not only useful at the encoder, but that under certain conditions, knowing it at only the encoder is as good as knowing it at both encoder and decoder, and knowing it at only the decoder is useless. Thus d...

The distortion from massive MIMO (multiple-input– multiple-output) base stations with nonlinear amplifiers is studied and its radiation pattern is derived. The distortion is analyzed both in-band and out-of-band. By using an orthogonal Hermite representation of the amplified signal, the spatial crosscorrelation matrix of the nonlinear distortion is obtained. It shows that, if the input signal t...

A new analog encryption technique using unitary circulant transformations of the sampled analog signal is proposed. This technique is less vulnerable to attack than other known schemes based on transposition(scramhling) of the signal components in time or frequency domain. The new technique introduces primarily a phase distortion. A new distonion measure capable of quantifying phase distortion ...

This work presents a theoretical discussion on the ability of traditional noise power ratio (NPR) setups to characterize the in-band signal distortion of general RF circuits. It is shown that NPR tests are optimistic in estimating co-channel distortion, as they are blind for the signal-correlated components. Therefore, an alternative standard for co-channel distortion specification and the asso...

In this paper, we give some observation of applying modern optimization methods for functionals describing digital predistortion (DPD) signals with orthogonal frequency division multiplexing (OFDM) modulation. The considered family model is determined by the class cascade Wiener--Hammerstein models, which can be represented as a computational graph consisting various nonlinear blocks. To assess...

We present a novel method to detect underground cavities using cross-borehole ground-penetrating radar (GPR). model the propagation of GPR signal across cavity and find that spectrum will be distorted in specific low-pass manner. Comparing spectra received signals with predicted hypothesis-testing approach allows us high probability. The proposed is validated on both simulated real measurements...