• Title/Summary/Keyword: TRANSFORM COEFFICIENTS

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Experimental Study on Stall Inception in a High-Speed Centrifugal Compressor (I) - inception Type - (원심압축기 스톨 발단에 관한 실험적 연구 (I) - 스톨 발단 과정 -)

  • Gang, Jeong-Sik;Gang, Sin-Hyeong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.25 no.10
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    • pp.1436-1444
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    • 2001
  • Stall inception in a high-speed centrifugal compressor has been examined. The main objective was to find stall precursor and to develop a reliable stall warning method. Eight equally spaced fast-response pressure transducers in the inducer detected the spatial structure of small amplitude perturbations, via spatial Fourier transform, as stall is approached. Near the stall inception point, the phase of spatial courier coefficients increased linearly with the speed of impeller relation for several impeller revolutions at all test speeds, and the spectrum at impeller frequency increased as stall is approached. These are the clear evidences that the impeller frequency participates in the stalling process.

Block-based Layered Coding of Images Using Subband Coding

  • Kim, Jeong-Kwon;Lee, Sang-Uk;Lee, Choong-Woong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.25-29
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    • 1997
  • The present block-based DCT encoder transforms images regardless of layers and then simply partitions the transformed data into a few layers, for example low and high frequency bands in JPEG. Yet, it fails to utilize the similarity of coefficients in each band. Therefore, we combine the subband coder and the block-based DCt coder in this paper. The new coding scheme enables the data to automatically be classified into several layers and increases the efficiency of transform. Various possible coding structures are investigated and the simulation results are also provided.

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Efficient Channel Delay Estimation for OFDM Systems over Doubly-Selective Fading Channels

  • Heo, Seo Weon;Lim, Jongtae
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.9
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    • pp.2218-2230
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    • 2012
  • In this paper, we propose an efficient channel delay estimation method for orthogonal frequency-division multiplexing (OFDM) systems, especially over doubly-selective fading channels which are selective in both the symbol time domain and subcarrier frequency domain. For the doubly-selective fading channels in single frequency network (SFN), long and strong echoes exist and thus the conventional discrete Fourier Transform (DFT) based channel delay estimation system often fails to produce the exact channel delay profile. Based on the analysis of the discrete-time frequency response of the channel impulse response (CIR) coefficients in the DFT-based channel delay estimation system, we develop a method to effectively extract the true CIR from the aliased signals by employing a simple narrow-band low-pass filter (NB-LPF). The performance of the proposed system is verified using the COST207 TU6 SFN channel model.

Temporal Texture modeling for Video Retrieval (동영상 검색을 위한 템포럴 텍스처 모델링)

  • Kim, Do-Nyun;Cho, Dong-Sub
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.3
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    • pp.149-157
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    • 2001
  • In the video retrieval system, visual clues of still images and motion information of video are employed as feature vectors. We generate the temporal textures to express the motion information whose properties are simple expression, easy to compute. We make those temporal textures of wavelet coefficients to express motion information, M components. Then, temporal texture feature vectors are extracted using spatial texture feature vectors, i.e. spatial gray-level dependence. Also, motion amount and motion centroid are computed from temporal textures. Motion trajectories provide the most important information for expressing the motion property. In our modeling system, we can extract the main motion trajectory from the temporal textures.

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Adaptive Watermarking based on Fuzzy Inference and Human Visual System (퍼지 추론과 시각특성 기반의 적응적 워터마킹)

  • Shin Hee-Jong;Park Ki-Hong;Kim Yoon-Ho
    • Journal of Digital Contents Society
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    • v.5 no.4
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    • pp.311-315
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    • 2004
  • In this paper, we proposed a robust watermarking algorithm based on fuzzy inference and human visual system. In the first, discrete wavelet transform(DWT) is involved to calculate additive energy strength, then we devised fuzzy inference, which was established by computing contrast and texture degree in gray-level image. Watermark is embeded into the coefficients of 3-level DWT so as to consider a spatial effects. Visual recognizable patterns such as binary image were used as a watermark Consequently, experimental results showed that proposed algorithm is robust in JPEC compression.

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A Method of Secreting Digital Signals by FWHT (FWHT에 의한 디지틀신호의 비화 방법)

  • Kim, Jang-Bok
    • The Journal of the Acoustical Society of Korea
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    • v.6 no.1
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    • pp.15-22
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    • 1987
  • Fast Walsh-Hadamard Transform algorithm is discussed for secreting digital signals in ISDN. 16 characters are used for the password to control the coefficients of FWHT. And it gives above $3\times10^{38}$ codes. The FWHT module in presented in machine language. So it is applicable to compact cipher system or firmware system. Computer simulation showed secreting characteristics in printed data for N=128.

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Pattern Classification of Partial Discharge Data

  • Kim Sung-Ho;Bae Geum-Dong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.4
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    • pp.347-352
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    • 2005
  • PD(Partial discharges) are small electrical sparks that occur within the electric insulation of cables, transformers and windings on motors. PD analysis is a proactive diagnostic approach that uses PD measurements to evaluate the integrity of this equipment. Recently, several diagnostic algorithms for classifying the type of PD and locating the defect position have been developed. In this work, a new PD recognition system is proposed, which utilizes approximate coefficients of wavelet transform as a feature vector, furthermore, introduces bank of Elman networks to recognize the various PD phenomena. In order to verify the performance of the proposed scheme, it is applied to the simulated PD data.

Application of the Wavelet transformation to denoising and analyzing the speech

  • Hung Phan Duy;Lan Huong Nguyen Thi;Ngoc Yen Pham Thi;Castelli Eric
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.249-253
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    • 2004
  • Wavelet transform (WT) has attracted most engineers and scientists because of its excellent properties. The coherence of practical approach and a theoretical basis not only solves currently important problems, but also gives the potential of formulating and solving completely new problems. It has been show that multi-resolution analysis of Wavelet transforms is good solution in speech analysis and threshold of wavelet coefficients has near optimal noise reduction property for many classes of signals. This paper proposed applications of wavelet in speech processing: pitch detection, voice-unvoice (V -UV) decision, denoising with the detailed algorithms and results.

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A Study on a Digital Watermarking Method for Still Images

  • Onuki, Tomokazu;Adachi, Takeharu;Hasegawa, Madoka;Kato, Shigeo
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.19-22
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    • 2000
  • In this paper, we propose a watermarking method for still images using Discrete Cosine Transform (DCT). Watermarking is a copyright protection technique for digital contents by hiding secret information into the contents. The proposed method embeds the watermark information into DCT coefficients. To obtain a watermarked image that is not only high quality but also has robustness for compression, we considered a method to change the degree of embedding by utilizing the activity of each DCT block. The simulation results show that the proposed scheme can obtain huh quality watermarked images and we can extract most of the embedded data even if they are compressed by JPEG scheme.

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EEG Data Compression Using the Feature of Wavelet Packet Coefficients (웨이블릿 패킷 분해를 이용한 EEG 신호압축)

  • Cho, Hyun-Sook;Lee, Hyoung;Hwang, Sun-Tae
    • Journal of Information Technology Applications and Management
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    • v.10 no.4
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    • pp.159-168
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    • 2003
  • This paper is concerned with the compression of EEG signals using wavelet-packet based techniques. EEG data compression is desirable for a number of reasons. Primarily it decreases for transmission time, archival storage space, and in portable systems, it decreases memory requirements or increases channels and bandwidth. Upon wavelet decomposition, inherent redundancies in the signal can be removed through thresholding to achieve data compression. We proposed the energy cumulative function for deciding of the threshold value and it works very innovative of EEG data.

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