• Title/Summary/Keyword: 코드북

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Optimization and Real-time Implementation of QCELP Vocoder (QCELP 보코더의 최적화 및 실시간 구현)

  • 변경진;한민수;김경수
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.1
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    • pp.78-83
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    • 2000
  • Vocoders used in digital mobile phone adopt new improved algorithm to achieve better communication quality. Therefore the communication problem occurs between mobile phones using different vocoder algorithms. In this paper, the efficient implementation of 8kbps and 13kbps QCELP into one DSP chip to solve this problem is presented. We also describe the optimization method at each level, that is, algorithm-level, equation-level, and coding-level, to reduce the complexity for the QCELP vocoder algorithm implementation. The complexity in the codebook search-loop that is the main part for the QCELP algorithm complexity can be reduced about 50% by using these optimizations. The QCELP implementation with our DSP requires only 25 MIPS of computation for the 8kbps and 33 MIPS for the 13kbps ones. The DSP for our real-time implementation is a 16-bit fixed-point one specifically designed for vocoder applications and has a simple architecture compared to general-purpose ones in order to reduce the power consumption.

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Call Admission Control in ATM by Neural Networks and Fuzzy Pattern Estimator (신경망과 퍼지 패턴 추정기를 이용한 ATM의 호 수락 제어)

  • Lee, Jin-Lee
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.8
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    • pp.2188-2195
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    • 1999
  • This paper proposes a new call admission control scheme utilizing an inverse fuzzy vector quantizer(IFVQ) and neuralnet, which combines benefits of IFVQ and flexibilities of FCM(Fuzzy-C-Means) arithmetics, to decide whether a requested call not to be trained in learning phase to be connected or not. The system generates the estimated traffic pattern for the cell stream of a new call, using feasible/infeasible patterns in codebook, fuzzy membership values that represent the degree to which each pattern of codebook matches input pattern, and FCM arithmetics. The input to the NN is the vector consisted of traffic parameters which are the means and variances of the number of cells arriving in decision as to whether to accept or reject a new call depends on whether the NN is used for decision threshold(+0.5). This method is a new technique for call admission control using the membership values as traffic parameter which declared to CAC at the call set up stage, and this is valid for a very general traffic model in which the calls of a stream can belong to an unlimited number of traffic classes. Through the simulations, it is founded the performance of the suggested method outperforms compared to the conventional NN method.

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Image Data Compression Using Biorthgnal Wavelet Transform and Variable Block Size Edges Extraction (쌍직교 웨이브렛 변환과 가변 블럭 윤곽선 추출에 의한 영상 데이타 압축)

  • 김기옥;김재공
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.7
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    • pp.1203-1212
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    • 1994
  • This paper proposes a variable block size vector quantization based on a biorthogonal wavelet transform for image compression. An image is first decomposed with the biorthogonal wavelet transform into multiresolution image and the wavelet coefficients of the middle frequency bands are segmented using the quadtree sturcture to extract the perceptually important regions in the middle frequency bands. A sedges of middle frequency bands exist the corresponding position of high frequency bands, the complicated quadtree structure of middle frequency bands is equally applied to the high frequency bands. Therefore the overhaed information of the quadtree codes needed to segment the high frequency bands can be reduced. The segmented subblocks are encoded with the codebook designed at the each scales and directions. The simulation results showed that the proposed methods could reproduce higher quality image with bit rate reduced about 20(%) than of the preceding VQ method and sufficiently reduce the bolck effect and the edge degradation.

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Adaptive Cooperative Relay Transmission Technique Using Closed-loop MIMO Scheme for Duplex Communication System (양방향 통신 시스템에서 폐회로 다중 안테나 기법을 적용한 적응형 협동 중계 전송 기술)

  • Lee, Kwan-Seob;Kim, Young-Ju
    • Journal of Broadcast Engineering
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    • v.15 no.2
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    • pp.157-162
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    • 2010
  • In this paper, We propose that the adaptive cooperative relay transmission technique using closed-loop MIMO scheme for duplex communication system. As the mobility between relay and base station is little, closed-loop MIMO is better diversity gain than open-loop MIMO. At this time, more than one relaying terminals are included in one cooperative group to share their transmission and take precoding weight feedback. For minimization of throughput reduction caused by increasing feedback bits, we use codebook-based MRT that limit the number of feedback bits. Among the cooperative relay group, the best relays are selected from the base stataion and get the feedback. A protocol senarios are also proposed for this relay system.

An Efficient Channel Feedback Method for Zeroforcing Beamforming Based Multi-User Multiple-Input Multiple-Output System (ZFBF 기반 다중 사용자 MIMO 시스템을 위한 효과적인 채널 피드백 기법)

  • Oh, Tae-Youl;Ahn, Sung-Soo;Choi, Seung-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9A
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    • pp.673-678
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    • 2009
  • This paper presents a feedback method for improving the system capacity of MU-MIMO system for downlink channel environments. In a typical conventional feedback method, CVQ, in order to enhance the channel capacity, not only the feedback load is increased but also the quantization of the channel vector is increased, because the channel parameter of each user has to be fed back after quantizing one of the pre-defined N-codebook vectors. In this paper, a novel feedback method is proposed which provides an improved system capacity by transferring the channel state information without increasing the feedback load. Performance of the proposed method is compared to the conventional CVQ method through computer simulations. The simulation results show that the proposed method with 3-bit feedback provides a system capacity comparable to the CVQ method of 6-bit feedback when the number of transmit antennas is 2.

Artificial speech bandwidth extension technique based on opus codec using deep belief network (심층 신뢰 신경망을 이용한 오푸스 코덱 기반 인공 음성 대역 확장 기술)

  • Choi, Yoonsang;Li, Yaxing;Kang, Sangwon
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.1
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    • pp.70-77
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    • 2017
  • Bandwidth extension is a technique to improve speech quality, intelligibility and naturalness, extending from the 300 ~ 3,400 Hz narrowband speech to the 50 ~ 7,000 Hz wideband speech. In this paper, an Artificial Bandwidth Extension (ABE) module embedded in the Opus audio decoder is designed using the information of narrowband speech to reduce the computational complexity of LPC (Linear Prediction Coding) and LSF (Line Spectral Frequencies) analysis and the algorithm delay of the ABE module. We proposed a spectral envelope extension method using DBN (Deep Belief Network), one of deep learning techniques, and the proposed scheme produces better extended spectrum than the traditional codebook mapping method.

Real-time 3D model generation system using multi-view images (다시점 영상을 이용한 실시간 3D 모델 생성 시스템)

  • Park, Jeong-Sun;Son, Hyung-Jae;Park, Jeung-Chul;Oh, Il-Seok
    • Journal of Digital Contents Society
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    • v.18 no.2
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    • pp.383-392
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    • 2017
  • This paper introduces a real-time 3D model generation system that can process in real time from multi-view image acquisition to image-based 3D model generation. This system describes how to collect, transmit, and manage the HD images input from 18 cameras and explain the background separation and smooth 3D volume model generation process. This paper proposes a new distributed data transmission and reception method for real-time processing of HD images input from 18 cameras. In addition, we describe a codebook-based background separating algorithm and a modified marching cube algorithm using perspective difference interpolation to generate smooth 3D models from multi-view images. The system is currently being built with a throughput rate of 30 frames per second.

Postprocessing Algorithm of Fingerprint Image Using Isometric SOM Neural Network (Isometric SOM 신경망을 이용한 지문 영상의 후처리 알고리듬)

  • Kim, Sang-Hee;Kim, Yung-Jung;Lee, Sung-Koo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.5
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    • pp.110-116
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    • 2008
  • This paper presents a new postprocessing method to eliminate the false minutiae, that caused by the skelectonization of fingerprint image, and an image compression method using Isometric Self Organizing Map(ISOSOM). Since the SOM has simple structure, fast encoding time, and relatively good classification characteristics, many image processing areas adopt this such as image compression and pattern classification, etc. But, the SOM shows limited performances in pattern classification because of it's single layer structure. To maximize the performance of the pattern classification with small code book, we a lied the Isometric SOM with the isometry of the fractal theory. The proposed Isometric SOM postprocessing and compression algorithm of fingerprint image showed good performances in the elimination of false minutiae and the image compression simultaneously.

Hole-filling Algorithm Based on Extrapolating Spatial-Temporal Background Information for View Synthesis in Free Viewpoint Television (자유 시점 TV에서 시점 합성을 위한 시공간적 배경 정보 추정 기반 홀 채움 방식)

  • Kim, Beomsu;Nguyen, Tien-Dat;Hong, Min-cheol
    • Journal of IKEEE
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    • v.20 no.1
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    • pp.31-44
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    • 2016
  • This paper presents a hole-filling algorithm based on extrapolating spatial-temporal background information used in view synthesis for free-viewpoint television. A new background codebook is constructed and updated in order to extract reliable temporal background information. In addition, an estimation of spatial local background values is conducted to discriminate an adaptive boundary between the background region and the foreground region as well as to update the information about the hole region. The holes then are filled by combining the spatial background information and the temporal background information. In addition, an exemplar-based inpainting technique is used to fill the rest of holes, in which a priority function using background-depth information is defined to determine the order in which the holes are filled. The experimental results demonstrated that the proposed algorithm outperformed the other comparative methods about average 0.3-0.6 dB, and that it synthesized satisfactory views regardless of video characteristics and type of hole region.

An effective indoor video surveillance system based on wide baseline cameras (Wide baseline 카메라 기반의 효과적인 실내공간 감시시스템)

  • Kim, Woong-Chang;Kim, Seung-Kyun;Choi, Kang-A;Jung, June-Young;Ko, Sung-Jea
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.317-323
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    • 2010
  • The video surveillance system is adopted in many places due to its efficiency and constancy in monitoring a specific area over a long period of time. However, many surveillance systems composed of a single static camera often produce unsatisfactory results due to their lack of field of view. In this paper, we present a video surveillance system based on wide baseline stereo cameras to overcome the limitation. We adopt the codebook algorithm and mathematical morphology to robustly model the foreground pixels of the moving object in the scene and calculate the trajectory of the moving object via 3D reconstruction. The experimental results show that the proposed system detects a moving object and generates a top view trajectory successfully to track the location of the object in the world coordinates.