In this paper, a speech classifier inspired by the signal subspace approach is developed. A novel signal subspace speech model is initially obtained via a rank reducing subspace decomposition algorithm that is based on the SVD. Motivated by the assumption that the speech signal comprises of short term dynamics that are slowly changing, it follows that the signal subspace of the speech signal is...

We present a method for estimating the parameters of 2-D damped harmonic (modal) signals in additive Gaussian noise. This method applies in the cases of single or multiexperiment data and incoherent or coherent signals. Both synthesis and analysis models for the data are developed. Central to these models are the signal and orthogonal subspaces. Under the assumption of distinct modes in one of ...

Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution single-input multiple-output (SIMO) UWB impulse radar. In proposed system, collected data are converted to several narrow-band signals generalized Goertzel algorithm (GGA), which us...

In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based on a new interpretation of the signal subspace. We introduce a novel information criterion for signal subspace estimation. We show that the solution of the proposed constrained optimization problem results the signal subspace. In addition, we introduce three adaptive algorithms which can be used ...

A multiple-input multiple-output (MIMO) wireless transmission system with continuous phase modulation (CPM) is considered. A novel MIMO CPM receiver with incoherent modulation is presented. The incoherent demodulation of CPM allows an uncomplicated handling of a frequency offset compared to coherent approaches requiring exact knowledge of the carrier frequency. Blind signal separation (BSS) is ...