• Title/Summary/Keyword: vector average

Search Result 598, Processing Time 0.027 seconds

Average Phase Current Estimation Method using a DC Link Shunt Resistor in the Three-Phase Inverter (3상 인버터에서의 직류단 단일 션트 저항을 이용한 평균 상전류 추정 방법)

  • Ku, Hyun-Keun;Yeom, Han-Beom;Kim, Jang-Mok
    • The Transactions of the Korean Institute of Power Electronics
    • /
    • v.21 no.4
    • /
    • pp.343-350
    • /
    • 2016
  • Generally, the average phase current is sampled at the midpoint of a PWM signal for the vector control of an AC motor. The three-phase current can also be reconstructed from a DC-link shunt resistor by sampling the shunt voltage during the active vectors of the SVPWM. However, the reconstructed current is different from the average current because of the deviation of the sampling point from the midpoint of the PWM signal. This paper proposes an algorithm to estimate the average current from the reconstructed current in a single-shunt inverter. The proposed method is derived from the phase current slopes based on switching states and corresponding switching time. In addition, the proposed method is generalized for all the six sectors of the space vector hexagon. The validity of the proposed algorithm is verified with simulations and experiments.

New Data Extraction Method using the Difference in Speaker Recognition (화자인식에서 차분을 이용한 새로운 데이터 추출 방법)

  • Seo, Chang-Woo;Ko, Hee-Ae;Lim, Yong-Hwan;Choi, Min-Jung;Lee, Youn-Jeong
    • Speech Sciences
    • /
    • v.15 no.3
    • /
    • pp.7-15
    • /
    • 2008
  • This paper proposes the method to extract new feature vectors using the difference between the cepstrum for static characteristics and delta cepstrum for dynamic characteristics in speaker recognition (SR). The difference vector (DV) which it proposes from this paper is containing the static and the dynamic characteristics simultaneously at the intermediate characteristic vector which uses the deference between the static and the dynamic characteristics and as the characteristic vector which is new there is a possibility of doing. Compared to the conventional method, the proposed method can achieve new feature vector without increasing of new parameter, but only need the calculation process for the difference between the cepstrum and delta cepstrum. Experimental results show that the proposed method has a good performance more than 2.03%, on average, compared with conventional method in speaker identification (SI).

  • PDF

Encoding of Speech Spectral Parameters Using Adaptive Vector-Scalar Quantization Methods for Mobile Communication Systems

  • Lee, In-Sung;Kim, Jong-Hark
    • The Journal of the Acoustical Society of Korea
    • /
    • v.17 no.4E
    • /
    • pp.35-40
    • /
    • 1998
  • In this paper, an efficient quantization method of line spectrum pairs(LSP) with cascaded structure of vector quantizer and scalar quantizer is proposed. First, input LSP parameters is vector-quantized using a codebook a with a moderate number of entries. In the second stage of quantization, the components of residual vector are individually quantized by the scalar quantizer. The utilization of ordering property of LSP parameters and the inclusion of interframe prediction improve the quantizer performance and remove the stability check routine after quantization procedure. The new vector-scalar hybrid quantizer using 26 bits/frame shows a transparent quality of speech that an average spectral distortion is 1 dB and the frame proportion with above 2 dB spectral distortion is less than 2%. The performances of proposed quantization method is evaluated in the transmission errors.

  • PDF

Efficient vector-scalar quantization of line spectrum parirs (LSP) (효율적인 벡터-스칼라 Line spectrum pairs(LSP) 양자화 방법)

  • 이인성;남승현
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.21 no.2
    • /
    • pp.333-339
    • /
    • 1996
  • In this paper, an effiicent quatization method of line spectrum pairs(LSP) with cascaded structure of vector quantizer and scalar quantizer is proposed. First, input LSP parameters is vector-quantized using a codebook with a moderate number of entries. In the second stage of quantization, the components of residual vector are individution improve the quantizer by the scalar quantizer. The utilization of ordering property and the inclusion of interframe prediction improve the quantizer performance and remove the stability check routine. The new vector-scalar cascaded quantizer using 27 bits/frame shows a transparent quality that an average specytural distortion is 1 dB and the frame proportion with above 2 dB spectral distion is less than 2%.

  • PDF

Field Oriented Control in Parallel Operation System of Induction Motors (유도전동기(誘導電動機)의 병렬운전(竝列運轉) System에서의 벡터제어(制御))

  • Kim, Sang-Hoon
    • Journal of Industrial Technology
    • /
    • v.18
    • /
    • pp.149-155
    • /
    • 1998
  • This paper describes a reference flux angle selection for a vector control in the parallel operation system that consists of a inverter and several induction motors. In particular, this paper suggests which flux angle of motors prefers for the vector control in the train drive system that diameters of wheels are different. Through simulation for a 210[kW] induction motor drive system, it is clear that the vector control by using of the flux angle of a motor having a minimum wheel diameter leads to a minimum torque difference. However, it requires too many current sensors. So, it is shown that the vector control by a average flux angle of motors is preferable.

  • PDF

Statistical Error Compensation Techniques for Spectral Quantization

  • Choi, Seung-Ho;Kim, Hong-Kook
    • Speech Sciences
    • /
    • v.11 no.4
    • /
    • pp.17-28
    • /
    • 2004
  • In this paper, we propose a statistical approach to improve the performance of spectral quantization of speech coders. The proposed techniques compensate for the distortion in a decoded line spectrum pairs (LSP) vector based on a statistical mapping function between a decoded LSP vector and its corresponding original LSP vector. We first develop two codebook-based probabilistic matching (CBPM) methods based on linear mapping functions according to different assumption of distribution of LSP vectors. In addition, we propose an iterative procedure for the two CBPMs. We apply the proposed techniques to a predictive vector quantizer used for the IS-641 speech coder. The experimental results show that the proposed techniques reduce average spectral distortion by around 0.064dB.

  • PDF

Computational Methods of Average Wind Speed and Direction

  • Lee, Chee-Cheong;Park, Soo-Hong
    • Journal of information and communication convergence engineering
    • /
    • v.8 no.1
    • /
    • pp.29-34
    • /
    • 2010
  • Wind speed and wind direction are usually taken using two parameters: wind speed and wind direction. This paper studies the average wind speed and direction calculation methods. The paper first introduces to basic wind's knowledge, and then presents several methods in calculating average wind speed and direction. Lastly some graphs are plotted base on these computational methods and the implementation of these methods in an actual buoy system.

Low Leakage Input Vector Searching Techniques for Logic Circuits at Standby States (대기상태인 논리 회로에서의 누설전류 최소화 입력 탐색 방법)

  • Lee, Sung-Chul;Shin, Hyun-Chul
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.46 no.10
    • /
    • pp.53-60
    • /
    • 2009
  • Due to increased integration density and reduced threshold voltages, leakage current reduction becomes important in the semiconductor IC design for low power consumption. In a combinational logic circuit, the leakage current in the standby state depends on the values of the input. In this research, we developed a new input vector control method to minimize the leakage power. A new efficient algorithm is developed to find the minimal leakage vector. It can reduce the leakage current by 15.7% from the average leakage current and by 6.7% from the results of simulated evolution method during standby or idle states for a set of benchmark circuits. The minimal leakage input vector, with idle input signal, can also reduce the leakage current by 6.8% from the average leakage current and by 3.2% from the results of simulated evolution method for sequential circuits.

A Modified Diamond Zonal Search Algorithm for Motion Estimation (움직임추정을 위한 수정된 다이아몬드 지역탐색 알고리즘)

  • Kwak, Sung-Keun
    • Journal of the Korea Computer Industry Society
    • /
    • v.10 no.5
    • /
    • pp.227-234
    • /
    • 2009
  • The Paper introduces a new technique for block matching motion estimation. since the temporal correlation of a animation sequence between the motion vector of current block and the motion vector of previous block. In this paper, we propose the scene change detection algorithm for block matching using the temporal correlation of the animation sequence and the center-biased property of motion vectors. The proposed algorithm determines the location of a better starting point for the search of an exact motion vector using the point of the smallest SAD(sum of absolute difference) value by the predicted motion vector from the same block of the previous frame and the predictor candidate point on each search region. Simulation results show that the PSNR values are improved as high as 9~32% in terms of average number of search point per motion vector estimation and improved about 0.06~0.21dB on an average except the FS(full search) algorithm.

  • PDF

Median Filtering Detection of Digital Images Using Pixel Gradients

  • RHEE, Kang Hyeon
    • IEIE Transactions on Smart Processing and Computing
    • /
    • v.4 no.4
    • /
    • pp.195-201
    • /
    • 2015
  • For median filtering (MF) detection in altered digital images, this paper presents a new feature vector that is formed from autoregressive (AR) coefficients via an AR model of the gradients between the neighboring row and column lines in an image. Subsequently, the defined 10-D feature vector is trained in a support vector machine (SVM) for MF detection among forged images. The MF classification is compared to the median filter residual (MFR) scheme that had the same 10-D feature vector. In the experiment, three kinds of test items are area under receiver operating characteristic (ROC) curve (AUC), classification ratio, and minimal average decision error. The performance is excellent for unaltered (ORI) or once-altered images, such as $3{\times}3$ average filtering (AVE3), QF=90 JPEG (JPG90), 90% down, and 110% up to scale (DN0.9 and Up1.1) images, versus $3{\times}3$ and $5{\times}5$ median filtering (MF3 and MF5, respectively) and MF3 and MF5 composite images (MF35). When the forged image was post-altered with AVE3, DN0.9, UP1.1 and JPG70 after MF3, MF5 and MF35, the performance of the proposed scheme is lower than the MFR scheme. In particular, the feature vector in this paper has a superior classification ratio compared to AVE3. However, in the measured performances with unaltered, once-altered and post-altered images versus MF3, MF5 and MF35, the resultant AUC by 'sensitivity' (TP: true positive rate) and '1-specificity' (FN: false negative rate) is achieved closer to 1. Thus, it is confirmed that the grade evaluation of the proposed scheme can be rated as 'Excellent (A)'.