A single-channel algorithm is proposed for noise reduction in cochlear implants. The proposed algorithm is based on subspace principles and projects the noisy speech vector onto "signal" and "noise" subspaces. An estimate of the clean signal is made by retaining only the components in the signal subspace. The performance of the subspace reduction algorithm is evaluated using 14 subjects wearing...

In this paper, a method of the signal subspace interpolation to constructing a continuous fingerprint database for radio localization is proposed. When using the fingerprint technique, enhancing the accuracy of location estimation requires very fine spatial resolution of the database, which entails much time in collecting the data to build up the database. Interpolated signal subspace is presen...

The robustness of a subspace generalized likelihood ratio test (GLRT) detector to signal mismatch is addressed for data conforming to the generalized multivariate analysis of variance model. This model assumes a deterministic signal of known form in the presence of unknown, colored, Gaussian noise. The subspace GLRT compresses data into a lower-dimensional subspace prior to detection. It is sho...

We consider the problem of delay estimation in an asyn-chronous wireless CDMA communication system. The received observations are decomposed into orthogonal signal and noise subspaces via the singular value decomposition (SVD). A class of techniques known as subspace tting techniques is used to estimate the individual user delays by maximizingthe t between the signal subspace and the observed d...

A novel technique is presented to design the signal subspace speech enhancement based on perceptual post filtering. Firstly, by subspace filter the noisy speech is enhanced. The underlying principle is to decompose the vector space of the noisy signal into a signal plus noise subspace and a noise subspace. The decomposition can theoretically be performed by applying the Karhunen-Loeve transform...

In the companion paper (Bellet et al., 2021), a spherical harmonic subspace associated to Cubed Sphere has been introduced. This is further analyzed here. particular, it permits define new based quadrature. quadrature inherits rotational invariance properties of subspace. Contrary Gaussian quadrature, where set nodes and weights solution nonlinear system, only are unknown Despite this conceptua...

The period estimation and periodic decomposition of a signal are the long-standing problems in the field of signal processing and biomolecular sequence analysis. To address such problems, we introduce the Ramanujan subspace pursuit (RSP) based on the Ramanujan subspace. As a greedy iterative algorithm, the RSP can uniquely decompose any signal into a sum of exactly periodic components, by selec...