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Various ideal masks have been used as the training targets for supervised speech separation. While different choices often lead to different results, the reason remains unclear. In this paper, an oracle method is applied to investigate the properties of the ideal masks including the ideal binary mask (IBM), the ideal ratio mask (IRM), the phase sensitive mask (PSM) and the complex ideal ratio maks...
Non-negative matrix factorization (NMF) is an appealing technique for audio source separation. Sparsity constraints are commonly used on the NMF model to discover a small number of dominant patterns. Recently, group sparsity has been proposed for NMF based methods, in which basis vectors belonging to a same group are permitted to activate together, while activations across groups are suppressed. However,...
The authors study the problem of the transmitted waveform and the receiving filter design for multiple-input multiple-output (MIMO) radar in signal-dependent interference environment. The mean-square error of point target scattering coefficient estimate is considered to represent the measurement of the system. A fast computational approach is proposed to obtain optimal pairs for the transmitted waveform...
In this paper, the problem of extended targets detection in signal-dependent interference based on orthogonal frequency division multiplexing (OFDM) waveform is addressed. Compared with other radar waveforms, OFDM has a thumbtack ambiguity function and the spectrum can be elaborately designed through changing the complex weights transmitted over different subcarriers. First, the optimal waveform design...
A multi-channel post-filtering algorithm in reverberant environment based on detection and estimation scheme is proposed. The key estimator of signal presence probability (SP-P), which is in consideration of reverberation, is modified with direct-to-reverberate ratio (DRR). A new desired signal detection scheme is proposed to instruct the updating of transient noise and residual interference estimation,...
Time delay estimation (TDE) plays an important role in multi-sensor signal processing. Its accuracy and precision are of critical significance. In this paper we propose a robust subsample time delay estimation approach which is based on an improved GCC PHAT algorithm and a sinc-fitted model. Computer simulations clearly demonstrate that this method achieves good results in noisy environments.
In stepped-frequency imaging radar, stitching the high range resolution profiles of different sampling intervals is very important to obtain the whole profile of the range gate. Current stitching methods usually operate under the assumption of over sampling and low target-to-radar velocity to avoid profile distortion. Therefore, these methods are under critical challenges in application. This paper...
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