Digital Signal Processing

Blind separation of convolutive mixtures has many applications in the areas of acoustics, communications, biomedical signal processing. Spatio-temporal decorrelation is a useful preprocessing technique that can reduce the blind ...

Conventional two-step passive localization methods have poor localization precision when the input signal-to-noise ratio (SNR) is low, although they are usually computationally attractive. The direct position determination (DPD) ...

Detecting overlapping blob objects is a classical, yet challenging problem in the image processing field. In this paper, we propose an automated blob detection method that is able to tackle both isolated and partially overlapping blob ...

This paper proposes a simple and effective metric to choose the best orthogonal frequency division multiplexing (OFDM) signal within multiple signaling (MS) techniques such as PTS (Partial Transmit Sequence) or SLM (Selective Mapping), ...

In this paper, we propose an encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing. In video compressive sensing one frame is acquired using a set of coded masks (sensing matrix) from which a ...

This paper addresses the joint time difference of arrival (TDOA), frequency difference of arrival (FDOA) and differential Doppler rate estimation problem in passive emitter localization, considering the range and Doppler frequency ...

In this paper, a novel graph-based adequate and concise signal representation paradigm is explored. Amplitudes of a signal can be quantized first. Then the quantization levels and transitions among these levels can be specified as ...

It is well known that, long-time integration improves the detection performance of radar system, which is however limited by the range migration (RM) and Doppler frequency migration (DFM) caused by target's high velocity and ...

A big challenge is robust direction-finding of targets in multipath environments where large noise power and coherent signals exist. In this paper, a novel adaptive wideband beamforming algorithm is presented by using Fuzzy system ...

Many works of literature support the potential of distributed channel estimation resorting to the traditional LMS algorithm and its variants. But these conventional LMS algorithms fail in an impulsive noise environment, which is ...

The polarization-sensitive uniform circular array (P-UCA) is advocated for large airspace surveillance and polarization processing ability. To reduce antennas and get higher resolution ability than existing P-UCAs, we design a new ...

Adaptive detection of a subspace signal is studied in this paper, in nonhomogeneous environment which is due to a rank-one interference that disturbs the primary data but not the secondary data. As no signal component lies in the ...

This paper is devoted to present a goodness of fit test for discrete-time almost cyclostationary models. The main strategy is based on the spectral support estimation and the application of multiple testing. The results of applying the ...