• Title/Summary/Keyword: Residual Signal

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Parkinson's disease diagnosis using speech signal and deep residual gated recurrent neural network (음성 신호와 심층 잔류 순환 신경망을 이용한 파킨슨병 진단)

  • Shin, Seung-Su;Kim, Gee Yeun;Koo, Bon Mi;Kim, Hyoung-Gook
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.3
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    • pp.308-313
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    • 2019
  • Parkinson's disease, one of the three major diseases in old age, has more than 70 % of patients with speech disorders, and recently, diagnostic methods of Parkinson's disease through speech signals have been devised. In this paper, we propose a method of diagnosis of Parkinson's disease based on deep residual gated recurrent neural network using speech features. In the proposed method, the speech features for diagnosing Parkinson's disease are selected and applied to the deep residual gated recurrent neural network to classify Parkinson's disease patients. The proposed deep residual gated recurrent neural network, an algorithm combining residual learning with deep gated recurrent neural network, has a higher recognition rate than the traditional method in Parkinson's disease diagnosis.

Long-term Prediction of Speech Signal Using a Neural Network (신경 회로망을 이용한 음성 신호의 장구간 예측)

  • 이기승
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.6
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    • pp.522-530
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    • 2002
  • This paper introduces a neural network (NN) -based nonlinear predictor for the LP (Linear Prediction) residual. To evaluate the effectiveness of the NN-based nonlinear predictor for LP-residual, we first compared the average prediction gain of the linear long-term predictor with that of the NN-based nonlinear long-term predictor. Then, the effects on the quantization noise of the nonlinear prediction residuals were investigated for the NN-based nonlinear predictor A new NN predictor takes into consideration not only prediction error but also quantization effects. To increase robustness against the quantization noise of the nonlinear prediction residual, a constrained back propagation learning algorithm, which satisfies a Kuhn-Tucker inequality condition is proposed. Experimental results indicate that the prediction gain of the proposed NN predictor was not seriously decreased even when the constrained optimization algorithm was employed.

Robust Blind Source Separation to Noisy Environment For Speech Recognition in Car (차량용 음성인식을 위한 주변잡음에 강건한 브라인드 음원분리)

  • Kim, Hyun-Tae;Park, Jang-Sik
    • The Journal of the Korea Contents Association
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    • v.6 no.12
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    • pp.89-95
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    • 2006
  • The performance of blind source separation(BSS) using independent component analysis (ICA) declines significantly in a reverberant environment. A post-processing method proposed in this paper was designed to remove the residual component precisely. The proposed method used modified NLMS(normalized least mean square) filter in frequency domain, to estimate cross-talk path that causes residual cross-talk components. Residual cross-talk components in one channel is correspond to direct components in another channel. Therefore, we can estimate cross-talk path using another channel input signals from adaptive filter. Step size is normalized by input signal power in conventional NLMS filter, but it is normalized by sum of input signal power and error signal power in modified NLMS filter. By using this method, we can prevent misadjustment of filter weights. The estimated residual cross-talk components are subtracted by non-stationary spectral subtraction. The computer simulation results using speech signals show that the proposed method improves the noise reduction ratio(NRR) by approximately 3dB on conventional FDICA.

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Design of Wideband Speech Coder Using the MLT Residual Signal (MLT 여기신호를 이용한 광대역 음성 부호화기 설계)

  • Oh Yeon-Seon;Shin Jae-Hyun;Lee In-Sung
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.5
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    • pp.248-254
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    • 2005
  • In this Paper, the structure of a split bandwidth wideband speech coder and its highband coder for tone qualify elevation are Proposed. The lowband and highband by the split bandwidth method are encoded independently applying the G.729E and MLT (Modulated Lapped Transform) residual model. In the highband structure which is encoded by low bit rate of 4kbps, the MLT residual signals are distinguished to voice and unvoice signal . The voice signals are applied to MLT peak picking method by lowband pitch period. Because transformed MLT residual signals are represented by periodic signal that have periodic peak. The unvoice signals are applied to MLT which linear prediction spectral response is added and do vector quantization. Performance for proposed 15.8kbps wideband speech coder was verified through subjective listening test.

Dispersion Managed Optical Transmission Links with an Artificial Distribution of the SMF Length and Residual Dispersion per Span

  • Lee, Seong-Real
    • Journal of information and communication convergence engineering
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    • v.12 no.2
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    • pp.75-82
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    • 2014
  • Dispersion management (DM), optical phase conjugation (OPC), and the combination of DM and OPC are promising techniques to compensate for optical signal distortion due to group velocity dispersion and nonlinear Kerr effects. The system performance improvement in DM links combined with OPC has been reported; however, the fixed residual dispersion per span (RDPS) usually used in these links restricts the flexibility of link configuration. Thus, in this paper, a flexible optical link configuration with artificially distributed single-mode fiber (SMF) lengths and RDPS in the combination of DM and OPC is proposed. Simulation results show that the best artificial distribution pattern is the gradually descending distribution of SMF lengths and the gradually ascending distribution of RDPS, as the number of fiber spans is increased, regardless of the average RDPS, the optimal net residual dispersion, and the dispersion coefficient of the dispersion compensating fiber.

System Performance Depending on the Fiber Span Number in Dispersion Managed Optical Transmission Links with Uniform Distributions of SMF Lengths and Residual Dispersion Per Span (SMF 길이와 RDPS가 분포가 균일한 분산 제어 광전송 링크에서 광섬유 중계 구간 수에 따른 시스템 성능)

  • Lee, Seong-Real
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.620-621
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    • 2015
  • The system performances of WDM channel signals as a function of the number of fiber spans in optical link with the uniform distributions of single mode fiber (SMF) lengths and residual dispersion per span (RDPS) for the compensation for the distorted WDM signals due to the group velocity dispersion (GVD) are evaluated and compared.

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Condition of Random Distribution of Residual Dispersion Per Span (RDPS) in Optical Transmission Links with Dispersion Management (분산 제어가 적용된 광전송 링크에서 RDPS의 랜덤 분포 조건)

  • Lee, Seong-Real
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.650-652
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    • 2011
  • Condition of random distribution of residual dispersion per span (RDPS) for transmission of 40 Gbps optical signal with good performance through optical transmission links with dispersion management (DM) of random RDPS distribution and optical phase conjugator (OPC) is induced in this paper.

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Effects of Residual Dispersion in Half Transmission Section on Net Residual Dispersion in Optical Transmission Links with Dispersion Management and Mid-Span Spectral Inversion (분산 제어와 Mid-Span Spectral Inversion이 적용된 광전송 링크에서 반 전송 구획의 잉여 분산이 전체 잉여 분산에 미치는 영향)

  • Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.18 no.5
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    • pp.455-460
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    • 2014
  • The system performance is analized for the optimal design of the transmission links with dispersion management and optical phase conjugation for compensating for the optical signal distortion due to the group velocity dispersion and optical nonlinear Kerr effects in the long-haul optical transmission system. That is, the effect of the relation of the residual dispersion in both half transmission sections with respect with optical phase conjugator (OPC) on the net residual dispersion (NRD) is assessed. It is conformed that the best compensation is obtained in NRD of 10 ps/nm, which is only controlled by the difference of the residual dispersion between each half transmission sections.

Deep Learning-Based Modulation Detection for NOMA Systems

  • Xie, Wenwu;Xiao, Jian;Yang, Jinxia;Wang, Ji;Peng, Xin;Yu, Chao;Zhu, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.658-672
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    • 2021
  • Since the signal with strong power need be demodulated first for successive interference cancellation (SIC) receiver in non-orthogonal multiple access (NOMA) systems, the base station (BS) need inform the near user terminal (UT), which has allocated higher power, of the far UT's modulation mode. To avoid unnecessary signaling overhead of control channel, a blind detection algorithm of NOMA signal modulation mode is designed in this paper. Taking the joint constellation density diagrams of NOMA signal as the detection features, the deep residual network is built for classification, so as to detect the modulation mode of NOMA signal. In view of the fact that the joint constellation diagrams are easily polluted by high intensity noise and lose their real distribution pattern, the wavelet denoising method is adopted to improve the quality of constellations. The simulation results represent that the proposed algorithm can achieve satisfactory detection accuracy in NOMA systems. In addition, the factors affecting the recognition performance are also verified and analyzed.

SSD(Simultaneous Single Band Duplex) System Using RF Cancellation and Digital Cancellation (RF Cancellation과 Digital Cancellation을 사용한 SSD(Simultaneous Single Band Duplex) 시스템)

  • An, Changyoung;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.2
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    • pp.100-108
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    • 2014
  • In this paper, we design SSD(simultaneous single band duplex) system using RF(radio frequency) cancellation and digital cancellation. we analyze characteristic of residual self-interference after RF Cancellation signal when error of phase shifter occur in RF cancellation. When phase shifter error of $0^{\circ}$, $0.5^{\circ}$, $1^{\circ}$ and $2^{\circ}$ occur in RF cancellation, residual self-interference signal power after RF cancellation is bigger than desired signal power of distant station. So, it is impossible to receive transmit data of distant station. but we confirm that it is possible to receive transmit data of distant station by digital cancellation with frame structure. Also, in digital cancellation with frame structure, if residual self-interference signal after RF cancellation is too large then LMS algorithm requires more time to estimate self-interference channel. That is, performance degradation occurs because self-interference channel estimation has not completed in estimation frame.