| The objective is to explore a procedure for isolating additive noise in vowels, and estimating the signal-to-noise ratio. The method is founded on the wavelet transform, which is a family of multi-resolution analysis methods. The breakdown of sonorants into a noise and a signal constituent relates to the observation that additive noise is mostly high-frequency or low-amplitude. The segregatio...

The main goal of this paper is to study and to compare the performance of different adaptive filter algorithms for noise cancellation. Adaptive noise cancellation method is used for estimating a speech signal which is corrupted by an additive noise. The reference input containing noise is adaptively filtered and subtracted from the primary input signal to obtain the de-noised signal. The desire...

The purpose of this paper is to illustrate the issues involved in designing the demodulator portion of a universal receiver for unknown or time-varying channels by means of a specific example. We consider the class of nonselective Rician fading channels with additive white Gaussian noise. The optimal receiver for a Rician channel depends on the parameters of the channel, and the collection of o...

We consider the dynamics of the Hénon and Ikeda maps in the presence of additive and dynamical noise. We show that, from the point of view of computations of some statistical quantities, dynamical noise corrupting these deterministic systems can be considered effectively as an additive "pseudonoise" with the Cauchy distribution. In the case of the Hénon and Ikeda maps, this effect occurs only f...

— The minimum mean-square error of the estimation of a signal where observed from the additive white Gaussian noise (WGN) channel's output, is analyzed. It is assumed that the channel input's signal is composed of a (normalized) sum of N narrowband, mutually independent waves. It is shown that if N goes to infinity, then for any fixed signal energy to noise energy ratio (no mater how big) both ...

Timing synchronization of an early WIND-FLEX prototype is discussed in this paper. Simulation results for different low-complexity timing synchronization metrics are given in an AWGN (additive white Gaussian noise) channel. Simulations take into account frame detection via a threshold comparison followed by symbol timing estimation using a maximum search. Training symbols are fixed. A novel low...

In this paper, a novel method for detection in quantization-based watermarking is introduced. This method basically works by quantizing a projection of the host signal onto a subspace of smaller dimensionality. A theoretical performance analysis under AWGN and fixed gain attacks is carried out, showing great improvements over traditional spread-spectrum-based methods operating under the same co...

The convergence properties of mixed-norm algorithms as i t applies to echo cancelers under general error criteria is derived for correlated and identically distributed inputs. The convergence analysis of this class of algorithms i s carried out using the linearization process of the error nonlinearities. Necessary and suficient conditions for convergence are derived for the independent input ca...

We present a new definition of data hiding capacity which complements the established theory in the field and produces practical estimates under many attacks. We discuss the relation between the proposed definition and the current theoretical work on data hiding capacity. The definition proposed is applied to still images to estimate the hiding capacity of a particular image under attacks such ...

This paper proposes a speech signal enhancement method in which the wavelet transform scales and thresholds both are adaptive depending on the input noisy signal affected by Additive White Gaussian Noise (AWGN). The proposed Estimated Noise and Adaptive Threshold Bionic Wavelet Transform (ENAT-BWT) method analyses the incoming noisy speech signal at 22 scales, from 7 to 28, of the BWT for negat...