In this paper, a new method was developed for initialising artificial neural networks predicting dynamics of time series. Initial weighting coefficients were determined for neurons analogously to the case of a linear prediction filter. Moreover, to improve the accuracy of the initialization method for a multilayer neural network, some variants of decomposition of the transformation matrix corre...

In this paper we present the design of multiband linear subband prediction (LSP) filters for wideband signals. A wideband signal is divided into narrowband subband signals via an array of lowpass/bandpass filters. A linear prediction filter is designed for each subband channel, which has its own designated frequency interval. The filter coefficients are fixed throughout the coding process. A cl...

Most of the features of Cover Song Identification (CSI), for example, Pitch Class Profile (PCP) related features, are based on the musical facets shared among cover versions: melody evolution and harmonic progression. In this work, the perceptual feature was studied for CSI. Our idea was to modify the Perceptual Linear Prediction (PLP) model in the field of Automatic Speech Recognition (ASR) by...

This paper presents a novel intra prediction algorithm, named position-dependent filtering (PDF), to improve the intra prediction accuracy. Different from the existing schemes where the samples along one prediction direction are predicted with the same set of filtering coefficients, in the proposed PDF, position-dependent filtering coefficients are employed, i.e., different sets of filtering co...

A time-varying long-term bi-directional linear predictive analysis is proposed in the context of the acoustic assessment of disordered speech. It is shown that performing a forward and backward long-term linear prediction of each speech sample and retaining the minimal overall prediction error as a cue of vocal dysperiodicity obtains a signal-to-noise ratio that correlates with the perceived de...

Introduction: The stature is one of the determinant factors to identify a person. We investigated the possibility of predicting stature based on Fingers Length in Iranians. Methods: We studied 195 healthy Iranian students (97 females and 98 males) of Tehran University of Medical Sciences. The correlation between stature and fingers anthropometric measurements was investigated and equations for...

The sensorless model predictive force control (SMPFC) is a strong method for controlling the drives of three-phase 4(6)-switch inverter linear induction motors. This kind of inverter can be employed for fault tolerant control in order to solve the problem of open/short circuit in 6-switch inverters (B6). This paper proposed a method for the SMPFC of a linear induction motor (LIM) with a 4-switc...

According to the situation that traditional speech authentication algorithms are not appropriated for the present speech communication, we proposed a speech authentication algorithm of perceptual hashing which is based on linear forecast analysis (LPC), it can satisfy the requirement of the efficiency and the robustness for the speech authentication. Firstly, the LPC coefficients are optimized,...

Spatially correlated functional data is present in a wide range of environmental disciplines and, in this context, efficient prediction of curves is a key issue. We present an approach for spatial prediction based on the functional linear point-wise model adapted to the case of spatially correlated curves. First, a smoothing process is applied to the curves by expanding the curves and the funct...

Abstrtct. A new method for representation of speech spectra based on a pole-zero decomposition technique is proposed in this paper. In this method the parameters of a pole-zero model for the smoothed short-time spectrum of speech are determined by adopting a cepstral matching criterion. The cepstral coefficients of the impulse response of the model are equal to the cepstral coefficients of the ...