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Intermittent intensity clutter may severely contaminate the signal detection and identification for wind spectral of Wind profiling radar. In order to remove such clutter, a method based on Zak time-frequency representation (TFR) is proposed. Not only the intermittent intensity clutter can be separated from the atmospheric signal in the time-frequency domain, also the atmospheric signal can be obtained...
We consider the problem of estimating the multichannel autoregressive (MAR) model parameters using noisy observations. The existing improved least-squares algorithm for vector processes (ILSV) estimates both the MAR parameters and the variance-covariance matrix of the multichannel noise in an iterative manner, but it neglects the fact that the variance-covariance matrix should be symmetric. In this...
Vocal part detection, which plays an important role in music information retrieval, is still a tough task so far. Previous works focused on short time features, which cannot capture some essential long term characteristics of singing. In this paper, we propose a Dynamic Time Warping based unsupervised segmentation algorithm to divide a pop song into homogeneous segments, which contain either vocal...
The minimum mean-square error (MMSE) is an important optimization criterion, which is widely applied to many fields in signal processing and others, such as waveforms estimation, signal detection and system identification. In many practical scenarios, the optimal solutions are usually expected to locate in some especial subspace. So, it is significant to study the MMSE detector or estimator with various...
Here, we present an approach to investigate perfect/imperfect channel detection in the maximal ratio receiver combined scheme (MRRC) and a simple transmit diversity scheme (STD). In order to effectively make use of the transmit diversity techniques, the same approach is extended to process the situation of one transmit antenna and N receive antennas in the MRRC scheme (1 times N MRRC) and two transmit...
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