an algebraic construction for constant dimension subspace codes is called orbit code. it arises as the orbits under the action of a subgroup of the general linear group on subspaces in an ambient space. in particular orbit codes of a singer subgroup of the general linear group has investigated recently. in this paper, we consider the normalizer of a singer subgroup of the general linear group a...

In this paper we propose a new feature extraction algorithm based on nonlinear prediction: the Neural Predictive Coding model which is an extension of the classical LPC one. This model is applied to speaker verification by the Arithmetic-Harmonic Sphericity (AHS) method. Two different initialization methods are proposed for the coding method based on the Neural Predictive Coding (NPC): classica...

In this work warped linear prediction (WLP) is applied to a model-based method to detect impulsive disturbances in audio signals. According to simulations performed on artificially corrupted audio signals the adoption of negative values for the warping factor favors the click detection scheme. As a consequence, for equal levels of missing (false) detection the WLP-based scheme yields consistent...

A new impulse noise detection technique from gray-scale and multichannel images is presented. It is based on block correlation of the noncausal linear prediction. The linear prediction coefficients are calculated using a block of the image at one instant. These coefficients are valid within that block only and are used to predict a pixel in a sliding window within the block. The sample is predi...

In this paper we propose a new approach to short-time speaker dependent word recognition based on Dempster-Shafer theory using Linear Predictive Coding (LPC) coefficients. For this we used a database of ten pre-determined signals and one-incoming signal, these signals are generated from ten different words of ten-different persons by using LPC techniques. Now by measuring similarity between inc...

In this paper, we introduce a model for Discrimant Feature Extraction (DFE): the Neural Predictive Coding (NPC). It is an extension of the Linear Predictive Coding (LPC). The Modelisation Error Ratio (MER), a discriminant criterion adapted for predictive models, is introduced. We propose a theoretical validation of the discriminant properties of the MER. The experimental validation consists on ...

In this paper we propose a new coding algorithm based on nonlinear prediction: the Neural Predictive Coding model which is an extension of the classical LPC one. The features performances are estimated by two different methods: the ArithmeticHarmonic Sphericity (AHS) and the Auto-Regressive Vectorial Models (ARVM). Two different methods are proposed for the coding method based on the Neural Pre...

In this paper we present a predictive vector quantizer for distributed speech recognition that makes use of a delayed decision coding scheme, performing the optimal codeword searching by means of the M-algorithm. In single-path predictive vector quantization coders, each frame is coded with the closest codeword to the prediction error. However, prediction errors and quantization errors of futur...