• Title/Summary/Keyword: Noise Robust

Search Result 1,308, Processing Time 0.024 seconds

Robust Servo Design and Application for Optical Disk Drive Using Robust Control Theory : H vs. QFT (광 디스크 드라이브 서보 설계를 위한 강건 제어 이론의 적용 및 평가 : H vs. QFT)

  • Lee, Kwang-Hyun;Yang, Hyunseok;Park, No-Cheol;Park, Young-Pil;Choi, Jin-Young
    • Transactions of the Korean Society for Noise and Vibration Engineering
    • /
    • v.15 no.10 s.103
    • /
    • pp.1148-1159
    • /
    • 2005
  • In this paper, the various uncertainties generated in an optical disk drive (ODD) and the robust servo designs considering the uncertainties are studied. First, the brief introduction an ODD and the servo error tolerance of it are discussed. Then, the classifications of uncertainty and the concept of relative stability are introduced. Considering the uncertainty of an ODD, two robust control approaches are applied: (i) mixed sensitivity approach in H$\infty$ control theory for unstructured uncertainty, (ii) QFT for structured uncertainty Finally, the designed controllers are realized by DSP, and these controllers are applied to a commercial DVD-ROM drive. From these experiments, we prove that the designed robust controllers have more good disturbance rejection performance and robustness when it is compared to the conventional lead-lag controller.

Robust Spectrum Sensing for Blind Multiband Detection in Cognitive Radio Systems: A Gerschgorin Likelihood Approach

  • Qing, Haobo;Liu, Yuanan;Xie, Gang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.7 no.5
    • /
    • pp.1131-1145
    • /
    • 2013
  • Energy detection is a widely used method for spectrum sensing in cognitive radios due to its simplicity and accuracy. However, it is severely affected by the noise uncertainty. To solve this problem, a blind multiband spectrum sensing scheme which is robust to noise uncertainty is proposed in this paper. The proposed scheme performs spectrum sensing over the total frequency channels simultaneously rather than a single channel each time. To improve the detection performance, the proposal jointly utilizes the likelihood function combined with Gerschgorin radii of unitary transformed covariance matrix. Unlike the conventional sensing methods, our scheme does not need any prior knowledge of noise power or PU signals, and thus is suitable for blind spectrum sensing. In addition, no subjective decision threshold setting is required in our scheme, making it robust to noise uncertainty. Finally, numerical results based on the probability of detection and false alarm versus SNR or the number of samples are presented to validate the performance of the proposed scheme.

Robust Speech Recognition with Car Noise based on the Wavelet Filter Banks (웨이블렛 필터뱅크를 이용한 자동차 소음에 강인한 고립단어 음성인식)

  • Lee, Dae-Jong;Kwak, Keun-Chang;Ryu, Jeong-Woong;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.12 no.2
    • /
    • pp.115-122
    • /
    • 2002
  • This paper proposes a robust speech recognition algorithm based on the wavelet filter banks. Since the proposed algorithm adopts a multiple band decision-making scheme, it performs robustness for noise as the presence of noisy severely degrades the performance of speech recognition system. For evaluating the performance of the proposed scheme, we compared it with the conventional speech recognizer based on the VQ for the 10-isolated korean digits with car noise. Here, the proposed method showed more 9~27% improvement of the recognition rate than the conventional VQ algorithm for the various car noisy environments.

A Study on Robust Pattern Classification of Lung Sounds for Diagnosis of Pulmonary Dysfunction in Noise Environment (폐질환 진단을 위한 잡음환경에 강건한 폐음 패턴 분류법에 관한 연구)

  • Yeo, Song-Phil;Jeon, Chang-Ik;Yoo, Se-Keun;Kim, Duk-Young;Kim, Sung-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers D
    • /
    • v.51 no.3
    • /
    • pp.122-128
    • /
    • 2002
  • In this paper, a robust pattern classification of breath sounds for the diagnosis of pulmonary dysfunction in noise environment is proposed. The feature parameter extraction method by highpass lifter algorithm and PM(projection measure) algorithm are used. 17 different groups of breath sounds are experimentally classified and investigated. The classification has been performed by 6 different types of combinations with proposed methods to evaluate the performances, such as ARC with EDM and LCC with EDM, WLCC with EDM, ARC with PM, LCC with PM, WLCC with PM. Furthermore, all feature parameters are extracted to 80th orders by 5th orders step, and all experiments are evaluated in increasing noise environments by degrees SNR 24dB to 0dB. As a results, WLCC which is derived from highpass lifter algorithm, is selected for the feature parameter extraction method. Pm is more robust than EDM in noisy environments to test and compare experimental results. WLCC with PM method(WLCC/PM) has a better performance in an increasing noise environment for diagnosis of pulmonary dysfunction.

A Study of Noise Robust Content-Based Music Retrieval System (잡음에 강인한 내용기반 음악 검색 시스템에 대한 연구)

  • Yoon, Won-Jung;Park, Kyu-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.45 no.6
    • /
    • pp.148-155
    • /
    • 2008
  • In this paper, we constructed the noise robust content-based music retrieval system in mobile environment. The performance of the proposed system was verified with ZCPA feature which is blown to have noise robust characteristic in speech recognition application. In addition, new indexing and fast retrieval method are proposed to improve retrieval speed about 99% compare to exhaustive retrieval for large music DB. From the computer simulation results in noise environment of 15dB - 0dB SNR, we confirm the superior performance of the proposed system about 5% - 30% compared to MFCC and FBE(filter bank energy) feature.

Robust Secure Transmit Design with Artificial Noise in the Presence of Multiple Eavesdroppers

  • Liu, Xiaochen;Gao, Yuanyuan;Sha, Nan;Zang, Guozhen;Wang, Shijie
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.6
    • /
    • pp.2204-2224
    • /
    • 2021
  • This paper studies secure wireless transmission from a multi-antenna transmitter to a single-antenna intended receiver overheard by multiple eavesdroppers with considering the imperfect channel state information (CSI) of wiretap channel. To enhance security of communication link, the artificial noise (AN) is generated at transmitter. We first design the robust joint optimal beamforming of secret signal and AN to minimize transmit power with constraints of security quality of service (QoS), i.e., minimum allowable signal-to-interference-and-noise ratio (SINR) at receiver and maximum tolerable SINR at eavesdroppers. The formulated design problem is shown to be nonconvex and we transfer it into linear matrix inequalities (LMIs). The semidefinite relaxation (SDR) technique is used and the approximated method is proved to solve the original problem exactly. To verify the robustness and tightness of proposed beamforming, we also provide a method to calculate the worst-case SINR at eavesdroppers for a designed transmit scheme using semidefinite programming (SDP). Additionally, the secrecy rate maximization is explored for fixed total transmit power. To tackle the nonconvexity of original formulation, we develop an iterative approach employing sequential parametric convex approximation (SPCA). The simulation results illustrate that the proposed robust transmit schemes can effectively improve the transmit performance.

Robust fault detection method for uncertain multivariable systems (불확실성을 갖는 다변수 시스템의 이상검출기법)

  • 홍일선;김대우;권오규
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1996.10b
    • /
    • pp.710-713
    • /
    • 1996
  • This paper deals with the fault detection problem in uncertain linear multivariable systems having both model mismatch and noise. A robust detection presented by Kwon et al.(1994) for SISO systems has been here extended to the multivariable systems are derived. The model mismatch includes here linearization error as well as undermodelling. Comparisons are made with alternative fault detection method which do not account noise. The new method is shown to have good performance.

  • PDF

RECOGNITION SYSTEM USING VOCAL-CORD SIGNAL (성대 신호를 이용한 인식 시스템)

  • Cho, Kwan-Hyun;Han, Mun-Sung;Park, Jun-Seok;Jeong, Young-Gyu
    • Proceedings of the KIEE Conference
    • /
    • 2005.10b
    • /
    • pp.216-218
    • /
    • 2005
  • This paper present a new approach to a noise robust recognizer for WPS interface. In noisy environments, performance of speech recognition is decreased rapidly. To solve this problem, We propose the recognition system using vocal-cord signal instead of speech. Vocal-cord signal has low quality but it is more robust to environment noise than speech signal. As a result, we obtained 75.21% accuracy using MFCC with CMS and 83.72% accuracy using ZCPA with RASTA.

  • PDF

Noise robust distant sound recognition (잡음 환경에 강인한 원거리 음향 정보 검출 기술 연구)

  • Yoo, In-Chul;Yook, Dong-Suk
    • Proceedings of the KSPS conference
    • /
    • 2007.05a
    • /
    • pp.37-38
    • /
    • 2007
  • This paper reviews the issues in implementing sound recognizers in real environments. First is the signal corruption caused by background noises and reverberation. Second is the open-set problem which is the problem of rejecting out-of-vocabulary words and noises. These two issues must be solved for noise robust recognizers.

  • PDF

Study on Sound Transmission through a Panel including Structural Vibration (구조 진동을 고려한 평판 구조물 음향 투과 특성 연구)

  • Chang, Woo-Suk;Kim, Won-Cheol
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
    • /
    • 2011.10a
    • /
    • pp.811-816
    • /
    • 2011
  • This study includes investigation on sound transmission phenomena through a structural panel including structural vibration and feedback control methodology to minimize the transmission. Focus is placed on finding the relation between vibration pattern and sound transmission, and on finding optimal sensor and actuator location. A simple analog feedback control circuit is designed and implemented to verify the approach.

  • PDF