检索结果-内蒙古大学图书馆

A Computationally Efficient Method for the Diagnosis of Defects in Rolling Bearings Based on linear predictive coding

引用

ALGORITHMS 2025年第2期18卷 58-58页

作者： Mohammad, Mohammad Ibryaeva, Olga Sinitsin, Vladimir Eremeeva, Victoria South Ural State Univ Sch Elect Engn & Comp Sci Chelyabinsk 454080 Russia

Monitoring the condition of rolling bearings is a crucial task in many industries. An efficient tool for diagnosing bearing defects is necessary since they can lead to complete machine failure and significant economic losses. Traditional diagnosis solutions often rely on a complex artificial feature extraction process that is time-consuming, computationally expensive, and too complex to deploy in practice. In actual working conditions, however, the amount of labeled fault data available is relatively small, so a deep learning model with good generalization and high accuracy is difficult to train. This paper proposes a solution that uses a simple feedforward artificial neural network (NN) for classification and adopts the linear predictive coding (LPC) algorithm for feature extraction. The LPC algorithm finds several coefficients for a given signal segment containing information about the signal spectrum, which is sufficient for further classification. The LPC-NN solution was tested on the Case Western Reserve University (CWRU) and South Ural State University (SUSU) datasets. The results demonstrated that, in most cases, LPC-NN yielded an accuracy of 100%. The proposed method achieves higher diagnostic accuracy and stability to load changes than other advanced techniques, has a significantly improved time performance, and is conducive to real-time industrial fault diagnosis.

关键词： signal processing condition monitoring rolling bearing linear predictive coding neural networks

来源：评论

学校读者我要写书评

暂无评论

linear predictive coding OF SPEECH - REVIEW AND CURRENT DIRECTIONS

引用

IEEE COMMUNICATIONS MAGAZINE 1985年第8期23卷 54-61页

作者： SCHROEDER, MR UNIV GOTTINGEN INST PHYS 3 D-3400 GOTTINGEN GERMANY

The author focuses attention on three problems of speech coding: source constraints in speech production;receiver fidelity in speech perception;and algorithmic efficiency in speech coding. Topics covered include linear prediction and its development;the innovation sequence;single and multipulse excitation;adaptive predictive coding;masking of quantizing noise;and instantaneous quantizing versus block coding.

关键词： linear predictive coding Speech coding Human factors Resonance Speech processing Auditory system

来源：评论

学校读者我要写书评

暂无评论

linear predictive coding with modified filter structures

引用

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING 2001年第8期9卷 769-777页

作者： Härmä, A Aalto Univ Lab Acoust & Audio Signal Proc Espoo 02015 Finland

In conventional one-step forward linear prediction, an estimate for the current sample value is formed as a linear combination of previous sample values. In this paper, a generalized form of this scheme is studied. Here, the prediction is not based simply on the previous sample values but to the signal history as seen through an arbitrary filterbank. It is shown in the paper how the coefficients of a modified model can be obtained and how the inverse and synthesis filters can be implemented. Various properties of such systems are derived in this article. As an example, a novel linear predictive system using inherently logarithmic frequency representation is introduced.

关键词： autoregressive modeling linear predictive coding

来源：评论

学校读者我要写书评

暂无评论

linear predictive coding OF MARINE SEISMIC DATA

引用

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1983年第4期31卷 828-835页

作者： BORDLEY, TE Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA USA

This paper examines the utility of linear predictive coding in reducing the amount of data storage required for signals gathered in ocean bottom seismology. In this study, a set of 12 typical signals were repeatedly encoded with the storage allocated decreasing from an initial 12 bits per datum to 2. The error introduced was then compared to the performance achieved by simply rounding off the lowest bits of the data, and to estimates of the rate distortion limit. It was found that this scheme consistently introduced about 15 times (4 bits) less distortion both in terms of the root-mean-square (rms) error and in terms of the maximum error than rounding the data. Moreover, the rms distortion of the data were within a factor of 4 (2 bits) of the rate distortion bound on optimal encoding. Thus, the scheme was seen to be an effective approach to the problem of data compression in the marine environment.

关键词： linear predictive coding Oceans Memory Rate-distortion Data compression Sea surface Dynamic range Seismology Encoding Degradation

来源：评论

学校读者我要写书评

暂无评论

Steganography integrated into linear predictive coding for low bit-rate speech codec

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2017年第2期76卷 2837-2859页

作者： Liu, Peng Li, Songbin wang, Haiqiang Chinese Acad Sci Inst Acoust Haikou Lab Haikou 570105 Peoples R China Natl Network New Media Engn Res Ctr Beijing 100190 Peoples R China Univ Southern Calif Los Angeles CA USA

The extensive use of Voice over IP (VoIP) applications makes low bit-rate speech stream a very suitable steganographic cover media. To incorporate steganography into low bit-rate speech codec, we propose a novel approach to embed information during linear predictive coding (LPC) process based on Matrix Embedding (ME). In the proposed method, a mapping table is constructed based on the criterion of minimum distance of linear-predictive-Coefficient-Vectors, and embedding position and template are selected according to a private key so as to choose the cover frames. The original speech data of the chosen frames are partially encoded to get the codewords for embedding and then the codewords that need to be modified for embedding are selected according to the secret bits and ME algorithm. The selected codeword will be changed into its best replacement codeword according to the mapping table. When embedding k (k > 1) bits into 2 (k) -1 codewords, the embedding efficiency of our method is k times as that of LPC-based Quantization Index Modulation method. The performance of the proposed approach is evaluated in two aspects: distortion in speech quality introduced by embedding and security under steganalysis. The experimental results demonstrate that the proposed approach leads to a better performance with less speech distortion and better security.

关键词： Information hiding linear predictive coding Matrix embedding Quantization index modulation

来源：评论

学校读者我要写书评

暂无评论

Modified linear predictive coding approach for moving target tracking by Doppler radar

引用

JOURNAL OF APPLIED REMOTE SENSING 2016年第3期10卷 035020-1-035020-16页

作者： Ding, Yipeng Lin, Xiaoyi Sun, Ke-Hui Xu, Xue-Mei Liu, Xi-Yao Central South Univ Sch Phys & Elect 405 Xiaoxiang Middle Rd Changsha 410083 Hunan Peoples R China Central South Univ Sch Informat Sci & Engn 405 Xiaoxiang Middle Rd Changsha 410083 Hunan Peoples R China

Doppler radar is a cost-effective tool for moving target tracking, which can support a large range of civilian and military applications. A modified linear predictive coding (LPC) approach is proposed to increase the target localization accuracy of the Doppler radar. Based on the time-frequency analysis of the received echo, the proposed approach first real-time estimates the noise statistical parameters and constructs an adaptive filter to intelligently suppress the noise interference. Then, a linear predictive model is applied to extend the available data, which can help improve the resolution of the target localization result. Compared with the traditional LPC method, which empirically decides the extension data length, the proposed approach develops an error array to evaluate the prediction accuracy and thus, adjust the optimum extension data length intelligently. Finally, the prediction error array is superimposed with the predictor output to correct the prediction error. A series of experiments are conducted to illustrate the validity and performance of the proposed techniques. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： Doppler radar linear predictive coding moving target tracking interference suppression

来源：评论

学校读者我要写书评

暂无评论

Energy first search scheme for spectral envelope vector quantisation of linear predictive coding residual

引用

IET SIGNAL PROCESSING 2007年第4期1卷 190-196页

作者： Chen, F. -K. Tsai, P. -Y. So Taiwan Univ Dept Comp Sci & Informat Engn Taipei Taiwan

linear predictive coding (LPC) residual is an important component for analysis-by-synthesis speech coders. Using spectral envelope vector quantisation (SEVQ) for LPC residual signals, MPEG-4 harmonic vector excitation coding (HVXC) speech coder is able to change the tone and speed for decoding bitstreams. A modified version is proposed to the simplified hearing-based SEVQ (SSEVQ) approach proposed by Wang and Yang. In addition, the energy first search scheme for SEVQ (EFSEVQ) is proposed in order to reduce the computational complexity of SEVQ for MPEG-4 HVXC speech coder. The proposed EFSEVQ scheme also agrees with human hearing properties. Simulation results reveal that the proposed EFSEVQ search scheme not only reduces the computational complexity but also preserves the quality of encoded speech.

关键词： vector quantisation analysis-by-synthesis speech coders speech coding linear predictive coding computational complexity LPC residual signals hearing-based SEVQ Speech and audio coding spectral envelope vector quantisation energy first search scheme MPEG-4 HVXC speech coder MPEG-4 harmonic vector excitation coding Codecs, coders and decoders vocoders linear predictive coding residual

来源：评论

学校读者我要写书评

暂无评论

A LATTICE-LADDER STRUCTURE FOR MULTIPULSE linear predictive coding OF SPEECH

引用

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1987年第2期35卷 228-231页

作者： MANOLAKIS, D CARAYANNIS, G NATL TECH UNIV ATHENS DEPT ELECT ENGNDIV COMP SCIGR-147 ATHENSGREECE

This correspondence presents an order-recursive algorithm for the computation of the model parameters required in multipulse linear predictive coding (LPC) or speech in the case of autocorrelation method. Its computational complexity is 2p 2 + 4p multiplications and divisions, where p + 1 is the number of the model parameters. It is also shown that the developed algorithm leads, in a natural way, to lattice-ladder structures for multipulse linear predictive coding of speech.

关键词： linear predictive coding Speech coding predictive models Speech analysis Equations Autocorrelation Computational complexity Signal processing algorithms Signal analysis linear systems

来源：评论

学校读者我要写书评

暂无评论

Steganography in vector quantization process of linear predictive coding for low-bit-rate speech codec

引用

MULTIMEDIA SYSTEMS 2017年第4期23卷 485-497页

作者： Liu, Peng Li, Songbin Wang, Haiqiang Chinese Acad Sci Inst Acoust Haikou Lab Haikou 570105 Hainan Peoples R China Univ Southern Calif Los Angeles CA USA

In this paper, we focus on quantization-indexmodulation (QIM) steganography in low-bit-rate speech codec and contribute to improve its steganalysis resistance. A novel QIM steganography is proposed based on the replacement of quantization index set in linear predictive coding (LPC). In this method, each quantization index set is seen as a point in quantization index space. Steganography is conducted in such space. Comparing with other methods, our algorithm significantly improves the embedding efficiency. One quantization index needs to be changed at most when three binary bits are hidden. The number of alterations introduced by the proposed approach is much lower than that of the current methods with the same embedding rate. Due to the fewer cover changes, the proposed steganography is less detectable. Moreover, a division strategy based on the genetic algorithm is proposed to reduce the additional distortion introduced by replacements. In our experiment, ITU-T G.723.1 is selected as the codec, and the experimental results show that the proposed approach outperforms the state-of-the-art LPC-based approach in low-bit-rate speech codec with respect to both stegano-graphic capacity and steganalysis resistance.

关键词： Information hiding linear predictive coding Low bit-rate speech Voice over Internet Protocol Quantization index modulation Steganalysis

来源：评论

学校读者我要写书评

暂无评论

ADAPTIVE linear predictive coding OF TIME-VARYING IMAGES USING MULTIDIMENSIONAL RECURSIVE LEAST-SQUARES LADDER FILTERS

引用

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1987年第7期5卷 1115-1126页

作者： NAM, MK ONEILL, WD Department of Industrial and Systems Engineering University of Illinois Chicago IL USA

This paper presents several adaptive linear predictive coding techniques based upon extension of recursive ladder filters to two and three dimensions (2-D/3-D). A 2-D quarter-plane autoregressive ladder filter is developed using a least square criterion in an exact recursive fashion. The 2-D recursive ladder filter is extended to a 3-D case which can adaptively track the variation of both spatial and temporal changes of moving images. Using the 2-D/3-D ladder filters and a previous frame predictor, two types of adaptive predictor-control schemes are proposed in which the prediction error at each pel can be obtained at or close to a minimum level. We also investigate several modifications of the basic encoding methods. Performance of the 2D/3-D ladder filters, their adaptive control schemes, and variations in coding methods are evaluated by computer simulations on two real sequences and compared to the results of motion compensation and frame differential coders. As a validity test of the ladder filters developed, the error signals for the different predictors are compared and the visual quality of output images is verified.

关键词： linear predictive coding Multidimensional systems Least squares methods Adaptive filters Nonlinear filters Computer errors Encoding Adaptive control Computer simulation Motion compensation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：