• Title/Summary/Keyword: Noise Robust

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A Design of an Active Noise Controller in a Communication Headset (통신용 헤드셋에서 능동소음제어기의 설계)

  • 정태진;정찬수
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.81-84
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    • 1997
  • This paper studies an active noise controller in a communication headset. The system is a two inputs(communication signal and noise signal) and single output(error signal) system. The problem is to reduce noise level sufficiently lower than communication signal to receive the communication signal clearly. The approach to this problem is in two steps. In the first step, we solve the noise rejection problem without communication signals. In this step, the problem is transformed to the robust H$_{\infty}$ regulating problem and solved using Linear Matrix Inequalities. In the second step, communication signal is introduced to the system, To verify the performance of the designed controller, a couple of experiments are performed..

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Echo Noise Robust HMM Learning Model using Average Estimator LMS Algorithm (평균 예측 LMS 알고리즘을 이용한 반향 잡음에 강인한 HMM 학습 모델)

  • Ahn, Chan-Shik;Oh, Sang-Yeob
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.277-282
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    • 2012
  • The speech recognition system can not quickly adapt to varied environmental noise factors that degrade the performance of recognition. In this paper, the echo noise robust HMM learning model using average estimator LMS algorithm is proposed. To be able to adapt to the changing echo noise HMM learning model consists of the recognition performance is evaluated. As a results, SNR of speech obtained by removing Changing environment noise is improved as average 3.1dB, recognition rate improved as 3.9%.

Robust Feature Extraction for Voice Activity Detection in Nonstationary Noisy Environments (음성구간검출을 위한 비정상성 잡음에 강인한 특징 추출)

  • Hong, Jungpyo;Park, Sangjun;Jeong, Sangbae;Hahn, Minsoo
    • Phonetics and Speech Sciences
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    • v.5 no.1
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    • pp.11-16
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    • 2013
  • This paper proposes robust feature extraction for accurate voice activity detection (VAD). VAD is one of the principal modules for speech signal processing such as speech codec, speech enhancement, and speech recognition. Noisy environments contain nonstationary noises causing the accuracy of the VAD to drastically decline because the fluctuation of features in the noise intervals results in increased false alarm rates. In this paper, in order to improve the VAD performance, harmonic-weighted energy is proposed. This feature extraction method focuses on voiced speech intervals and weighted harmonic-to-noise ratios to determine the amount of the harmonicity to frame energy. For performance evaluation, the receiver operating characteristic curves and equal error rate are measured.

Array Resolution Improving Methods for Beamforming Algorithm (빔형성방법에서의 분해능 향상 기법에 관한 연구)

  • Hwang, Seon-Gil;Rhee, Wook;Choi, Jong-Soo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.05a
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    • pp.164-169
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    • 2005
  • Microphone array techniques are being used widely in wind tunnel measurements for identification of the distributed aerodynamic noise sources on the model being tested. Depending on the frequencies and sound levels, conventional beamforming algorithm has limitation in separating two adjacent sources. Several modifications to the classical beamforming have been developed to enhance way resolution and reduce sidelobe levels. In this Paper the robust adaptive beamforming and the CLEAN algorithm are used to compare to the result of conventional beamforming method. It is found that the CLEAN algorithm is capable of pin-pointing locations of multiple sources nearby, while these sources are unidentifiable with robust adaptive or conventional beamforming techniques.

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Optimum Tuning of PID-PD Controller considering Robust Stability and Sensor Noise Insensitivity (센서 잡음 저감도 및 안정-강인성을 고려한 PID-PD 제어기의 최적 동조)

  • Kim, Chang-Hyun;Lim, Dong-Kyun;Suh, Byung-Suhl
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.628-631
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    • 2005
  • In this paper, we propose tuning method of PID-PD controller to satisfy design specifications in frequency domain as well as time domain. The proposed tuning method of PID-PD controller that consist of the convex set of PID and PI-PD controller controls the closed-loop response to locate between the step responses, and Bode magnitudes of closed-loop transfer functions controlled by PID and PI-PD controller. The controller is designed by the optimum tuning method to minimize the proposed specific cost function subject to sensor noise insensitivity and robust stability. Its effectiveness is examined by the case study and analysis.

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A study on the competitive learning algorithm for robust vector qantization to transmit speech signal (벡터 양자화를 위한 학습 알고리즘을 이용한 음성 전송 기술에 관한 연구)

  • Hong, Kang-You;Park, Sang-Hui
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3150-3152
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    • 1999
  • The efficient representation and encoding of signals with limited resources, e.g., finite storage capacity and restricted transmission bandwidth, is a fundamental problem in technical information processing systems. Typically under realistic circumstances, the encoding and communication of message has to deal with different sources of noise and disturbances. In this paper, I propose a unifying approach to data compression by robust vector quantization, which explicitly deals with channel noise, and random elimination of prototypes. The resulting algorithm is able to limit the detrimental effect of noise in a very general communication scenario. In this paper, based on the robust vector quantization I have an experiment about speech coding.

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Robust Active Noise Control System (강인성을 고려한 능동소음제어 시스템)

  • Chung, Chan-Soo;Oh, Hak-Joon;Koo, Choon-Keun;Lee, Sang-Cheol;Chung, Yang-Woong
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.332-334
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    • 1994
  • This paper proposes a robust active noise control (ANC) system. The system constructs filter with a standard model. An adaptive litter, connected to the system in parallel, compensates the modeling error. When the adaptive filter does not work, the proposed system is robust while the conventional system loses the noise control capability. But proposed ANC system shows that the performance is comparable with that of the conventional ANC system under normal conditions.

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The Design of Extended Robust $H_{\infty}$ Filter for Glint Noise (글린트 잡음에 대한 확장 강인 $H_{\infty}$ 필터 설계)

  • Kwak, Ki-Seok;Shin, Jong-Gu;Yoon, Tae-Sung;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.1961-1963
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    • 2001
  • In a target tracking problem, the radar glint noise has non-Gaussian heavy-tailed distribution and will seriously affect the target tracking performance. In this study, an extended robust $H_{\infty}$ was developed which can significantly improve the tracking performance when glint noise is present. Through the computer simulations, the proposed filter showed superior and robust tracking performance compared with other extended Kalman filters.

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Optimization of the Tooth Surface in the Helical Gears Using a Response Surface Method (반응표면법을 이용한 헬리컬기어 치형수정의 최적화)

  • Park, Chan-Il
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.760-763
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    • 2005
  • Optimum design of the tooth surface for the reduction of transmission error is very difficult to determine analytically due to nonlinearity of transmission error under the several load condition. The design of tooth surface that can give a low noise under the various load condition is very important. Therefore, this study proposes the method to determine the optimal lead curve and robust design of the tooth surface by using the response surface method. To do so, the design variables are selected by a screening experiment. Then the fitted regression model Is built with the check of the usefulness of the model. The model with constraints is solved to obtain the optimum values for the lead curve and the robust design fur the tooth surface.

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Noise-robust Heart Rate Estimation Algorithm for Remote Photoplethysmography (원격 PPG를 위한 잡음에 강인한 심박수 추정 알고리즘)

  • JunHo Cha;JaeWook Shin
    • IEMEK Journal of Embedded Systems and Applications
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    • v.19 no.4
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    • pp.167-173
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    • 2024
  • This paper proposes a robust algorithm for heart rate estimation using remote photoplethysmography (rPPG). The algorithm employs a combination of adaptive filtering and frequency tracking to enhance the signal-to-noise ratio (SNR) and accurately estimate heart rates from facial videos. The LGI dataset, comprising videos of six participants performing various activities (resting, rotation, talk, gym), was utilized for evaluation. The ground truth heart rate was obtained using a CMS50E pulse oximeter, and a 10-second data window with FFT-based frequency analysis was applied to derive reference heart rates. The proposed method detects the face using Mediapipe API, selects the forehead region of interest (ROI), and extracts RGB signals. The signals undergo preprocessing, motion noise removal via adaptive filtering, and heart rate estimation using an adaptive notch filter. Experimental results demonstrate that the proposed algorithm outperforms existing methods, especially in challenging conditions such as during gym and talk activities.