The first thing that comes in mind when we talk about acoustic echo cancellation is adaptive filtering. In this chapter, we discuss a large number of multichannel adaptive algorithms, both in time and frequency domains. This discussion will be developed in the context of multichannel acoustic echo cancellation where we have to identify a multipleinput multiple-output (MIMO) system (e.g., room a...

A review of multichannel long integration time, optical Fourier transform techniques for advanced Fourier spectroscopy systems is followed by the description of a new multichannel time-integrating optical Fourier transform chirp-Z system and a discussion of its use in Fourier spectroscopy signal processing.

Electromyography signals is one of the most important studies of muscle function used in wide area including kinesiology, rehabilitation, and occupational and sports medicine. The measurement of electromyogram always requires multichannel as every movement will involve a group of muscles. Commercial single or multichannel surface electromyogram data acquisition system is very expensive for begi...

Accurately estimating the spectral reflectance of art paintings from low-dimensional multichannel images requires that both image-acquisition hardware with appropriate spectral characteristics and appropriate estimation software be applied to the captured multichannel image. In this study, a system that incorporates both factors is designed and developed on the basis of the minimum-mean-square ...

BACKGROUND Epilepsy is a common chronic neurological disorder characterized by recurrent unprovoked seizures. Electroencephalogram (EEG) signals play a critical role in the diagnosis of epilepsy. Multichannel EEGs contain more information than do single-channel EEGs. Automatic detection algorithms for spikes or seizures have traditionally been implemented on single-channel EEG, and algorithms f...

Over the last decade, overcomplete dictionaries and the very sparse signal representations they make possible, have raised an intense interest from signal processing theory. In a wide range of signal processing problems, sparsity has been a crucial property leading to high performance. As multichannel data are of growing interest, it seems essential to devise sparsity-based tools accounting for...

Multichannel audio is attracting rapidly increasing popularity in audio reproduction. In most cases, however, its transmission requirements are extremely demanding compared to the available bandwidth. One possible solution to this problem could be to transmit a reference channel and recreate the remaining channels at the receiving end. In this paper such a method is proposed by taking advantage...

The performance of adaptive filtering can be enhanced by incorporating prior system knowledge. In this paper, we systematically consider regularization strategies exploiting sparseness for the identification of acoustic room impulse responses specifically for multichannel systems. Due to the additional dimensions in the multichannel case, a structured regularization appears to be a natural choi...

Embeddings of probability measures into reproducing kernel Hilbert spaces have been proposed as a straightforward and practical means of representing and comparing probabilities. In particular, the distance between embeddings (the maximum mean discrepancy, or MMD) has several key advantages over many classical metrics on distributions, namely easy computability, fast convergence and low bias of...