Accurate endpoint detection is a necessary capability for speech recognition. A new energy measure method based on the empirical mode decomposition （EMD） algorithm and Teager energy operator （TEO） is proposed to l...
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Accurate endpoint detection is a necessary capability for speech recognition. A new energy measure method based on the empirical mode decomposition （EMD） algorithm and Teager energy operator （TEO） is proposed to locate endpoint intervals of a speech signal embedded in noise. With the EMD, the noise signals can be decomposed into different numbers of sub-signals called intrinsic mode functions （IMFs）, which is a zero-mean AM-FM component. Then TEO can be used to extract the desired feature of the modulation energy for IMF components. In order to show the effectiveness of the proposed method, examples are presented to show that the new measure is more effective than traditional measures. The present experimental results show that the measure can be used to improve the performance of endpoint detection algorithms and the accuracy of this algorithm is quite satisfactory and acceptable.
The characteristic basis function method (CBFM) is used to analyze the electromagnetic characteristics of antenna arrays in this paper. The original antenna arrays are divided into a number of subdomains and high-leve...
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ISBN:
(纸本)9781467317993
The characteristic basis function method (CBFM) is used to analyze the electromagnetic characteristics of antenna arrays in this paper. The original antenna arrays are divided into a number of subdomains and high-level basis functions are constructed for each subdomain through their couplings, the resulting matrix can be largely reduced. The characteristic basis function method not only has high accuracy and computing time is greatly reduced. The numerical results are given to illustrate that the method is accurate and efficient.
Adaptive cross approximation (ACA) algorithm as a kind of common matrix compression method is often used to analyze the electromagnetic radiation and scattering problems. In the region of far field, the impedance matr...
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ISBN:
(纸本)9781467317993
Adaptive cross approximation (ACA) algorithm as a kind of common matrix compression method is often used to analyze the electromagnetic radiation and scattering problems. In the region of far field, the impedance matrix is compressed by ACA method, and the extracted impedance matrix is accelerated filling by equivalent dipole-moment method (EDM). In the area of near field, the method of moments or the equivalent dipole-moment method is applied for filling the impedance matrix. The iterative near field preconditioning technique is used to solve matrix equation, so that fast calculation of radar cross section (RCS) can be achieved. Numerical results show that the computational efficiency is improved significantly via applying the presented method in this paper without sacrificing much accuracy.
In this paper, a novel watermarking scheme based on relationship of Tchebichef Moments is proposed. Firstly, the image is divided into blocks;then the Tchebichef moment's relationship of each block is computed, wh...
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This paper studies the problem of how to choose the viewpoint for taking good photographs for architecture. We achieve this by learning from professional photographs of world famous landmarks that are availab.e in the...
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The effectiveness of ad-hoc retrieval systems appears to have reached a *** the research community is investigating an assortment of variables that will help them develop increasingly accurate retrieval *** paper pres...
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ISBN:
(纸本)9780972147903
The effectiveness of ad-hoc retrieval systems appears to have reached a *** the research community is investigating an assortment of variables that will help them develop increasingly accurate retrieval *** paper presents a new method of high accuracy retrieval of document,which is based on quotient *** describes the problem space from different granularity:sentence,paragraph and document,and studies the relations among different granularities.
Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a new class of clustering algorithm, K-...
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We propose an appearance-based image clustering approach called GGCI (global geometric clustering for image). For face images taken with varying pose, expression, eyes (wearing sunglasses or not) or object images unde...
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Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration. They are not suitable for image mosaic of the source images from a real camera with ...
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Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration. They are not suitable for image mosaic of the source images from a real camera with an almost fixed optical center. We propose a registration method so that a distortion-free registration on naturally captured images can be obtained. It adopts a multi-resolution and robust feature based inter-layer mosaic together. In each layer, Harris corner detector is chosen to effectively detect features and RANSAC is used to find reliable matches for further calibration as well as an initial homography as the initial motion of next layer. Simplex and subspace trust region methods are used consequently to estimate the stable focal length and rotation matrix through the transformation property of feature matches. Experimental results demonstrate the performance of our proposed method.
Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary...
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