• Title/Summary/Keyword: Blind signal processing

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Fast Spectrum Sensing with Coordinate System in Cognitive Radio Networks

  • Lee, Wilaiporn;Srisomboon, Kanabadee;Prayote, Akara
    • ETRI Journal
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    • v.37 no.3
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    • pp.491-501
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    • 2015
  • Spectrum sensing is an elementary function in cognitive radio designed to monitor the existence of a primary user (PU). To achieve a high rate of detection, most techniques rely on knowledge of prior spectrum patterns, with a trade-off between high computational complexity and long sensing time. On the other hand, blind techniques ignore pattern matching processes to reduce processing time, but their accuracy degrades greatly at low signal-to-noise ratios. To achieve both a high rate of detection and short sensing time, we propose fast spectrum sensing with coordinate system (FSC) - a novel technique that decomposes a spectrum with high complexity into a new coordinate system of salient features and that uses these features in its PU detection process. Not only is the space of a buffer that is used to store information about a PU reduced, but also the sensing process is fast. The performance of FSC is evaluated according to its accuracy and sensing time against six other well-known conventional techniques through a wireless microphone signal based on the IEEE 802.22 standard. FSC gives the best performance overall.

Robust Audio Watermarking Using HAS and Neural Network (신경망과 HAS을 이용한 강인한 오디오 워터마킹 알고리즘)

  • Jung, Se-Won;Piao, Cheng-Ri;Han, Seung-Soo
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.2101-2102
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    • 2006
  • In this paper, a new digital audio watermarking algorithm is presented. The proposed algorithm embeds watermark into audio signal based on human auditory system (HAS). This algorithm is a blind audio watermarking method, which does not require any prior information during watermark extraction process. This algorithm finds watermarking position using time-domain masking effect. First we insert the watermark into wavelet domain, and then we use a back-propagation neural network (BPN) to learn the characteristics of relationship between the watermark and the watermarked audio. Due to the teaming and adaptive capabilities of the BPN, the false recovery of the watermark can be greatly reduced by the trained BPN. Experimental results show that the proposed method has good inaudibility and high robustness to common audio processing attacks.

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Robust Speech Recognition Using Independent Component Analysis (독립성분분석을 이용한 강인한 음성인식)

  • 임형규;이창기
    • Journal of the Korea Computer Industry Society
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    • v.5 no.2
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    • pp.269-274
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    • 2004
  • Noisy speech recognition is one of most important problems in speech recognition. In this paper, a method which efficiently removes the mixed noise with speech, is proposed. The proposed method is based on the ICA to separate the mixed noise. ICA(Independent component analysis) is a signal processing technique, whose goal is to express a set of random variables as linear combinations of components that are statistically as independent from each other as possible.

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A MIMO Adaptive Beanforming Algorithm for Smart Antennas (스마트안테나용 MIMO 적응빔형성 알고리즘)

  • Park, Jaedon;Tuan, Le-Minh;Giwan Yoon;Kim, Jewoo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.10a
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    • pp.323-326
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    • 2001
  • We propose a new MUD adaptive beamforming algorithm. It requires no reference signal and consists of two Processing stages. The first stage performs a scan function, and the second stage performs an adaptive beamforming algorithm. Computer simulations, considering multi-path Rayleigh Fading Channel in CUMA, are presented to verify the performance.

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Recognition of Object Position by use of Aerial Ultrasonic Sensor

  • Kashiwagi, H.;Kaba, K.;Yamaguchi, T.
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.70-74
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    • 1998
  • This paper describes a method for recognition of two-dimensional position of an object by use of aerial ultra-sonic sensor and signal processing technique, which would become a help for blind person or self-mobile robot. First, we have developed a method for measuring the time difference between the transmitted and the received burst wave by use of one ultrasonic transmitter and three receivers. Secondly, a new method is developed for measuring the distance to an object by use of M-sequence correlation method. Thirdly, a measurement method to obtain the position of an object is described by use of phase-arrayed ultrasonic sensor, which gives us a wide-range position determination in a short time.

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Digital Image Watermarking Based on Exponential Form with Base of 2 (2의 지수형식에 기초한 디지털 이미지 워터 마킹)

  • Ariunzaya, Batgerel;Kim, Han-kil;Chu, Hyung-Suk;An, Chong-Koo
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.2
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    • pp.97-103
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    • 2010
  • In this paper, we propose a new digital watermarking technique. The main idea of the proposed algorithm relies on the assumption that any real number can be expressed as a summation of the exponential form with base of 2 and if only consider the first few summations some numbers can be expressed in the same form. Therefore, we can be sure that some amount of changes does not affect the first few summations. The algorithm decomposes a host image in wavelet domain and intensity of the significant wavelet coefficient is expressed in exponential form with base of 2. Multiple barcode watermarks are then embedded by modifying the parity of the exponent. The proposed scheme is semi-blind and also offers either objective or subjective deteew su as well. From extracted watermarks, more accurate watermark is obtained by merging technique as a final watermark. As a simulation result, the proposed algorithm could resist most cases of salt and pepper noise, Gaussian noise and JPEG compression.

Implementation of Behavior Notification System for Guide Dog Harness Using IMU and Accelerometer Sensor (IMU 및 가속도 센서를 이용한 안내견 하네스 행동 알림 시스템 구현)

  • Ahn, Byeong-Gu;Noh, Yun-Hong;Jeong, Do-Un
    • Journal of the Institute of Convergence Signal Processing
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    • v.16 no.1
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    • pp.15-21
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    • 2015
  • In this paper, a behavior notification system of the harness of a guide dog is implemented for a blind person to get helps for environmental and situational awareness while walking with the guide dog. IMU modules is attached on the guide dog's harness saddle and the acceleration sensor belt is mounted on its thigh. Gait estimation and behavior judgement are performed by recording and analyzing the outputs of the sensors. Performance analysis for seven different kinds of behaviors has been done. The seven different behaviors, which the guide dog recognizes, are descending stairs, climbing stairs, uphill, downhill, stop, flat road, and selective disobedience. Results for the performance analysis show that the average success rate of the behavior rule estimation of harness of the guide dog is 92.78% and the behavior notification system can be effectively used in real situations.

Development of Retinal Prosthesis Module for Fully Implantable Retinal Prosthesis (완전삽입형 인공망막 구현을 위한 인공망막모듈 개발)

  • Lee, Kang-Wook;Kaiho, Yoshiyuki;Fukushima, Takafumi;Tanaka, Tetsu;Koyanagi, Mitsumasa
    • Journal of Biomedical Engineering Research
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    • v.31 no.4
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    • pp.292-301
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    • 2010
  • To restore visual sensation of blind patients, we have proposed a fully implantable retinal prosthesis comprising an three dimensionally (3D) stacked retinal chip for transforming optical signal to electrical signal, a flexible cable with stimulus electrode array for stimulating retina cells, and coupling coils for power transmission. The 3D stacked retinal chip is consisted of several LSI chips such as photodetector, signal processing circuit, and stimulus current generator. They are vertically stacked and electrically connected using 3D integration technology. Our retinal prosthesis has a small size and lightweight with high resolution, therefore it could increase the patients` quality of life (QOL). For realizing the fully implantable retinal prosthesis, we developed a retinal prosthesis module comprising a retinal prosthesis chip and a flexible cable with stimulus electrode array for generating optimal stimulus current. In this study, we used a 2D retinal chip as a prototype retinal prosthesis chip. We fabricated the polymide-based flexible cable of $20{\mu}m$ thickness where 16 channels Pt stimulus electrode array was formed in the cable. Pt electrode has an impedance of $9.9k{\Omega}$ at 400Hz frequency. The retinal prosthesis chip was mounted on the flexible cable by an epoxy and electrically connected by Au wire. The retinal prosthesis chip was cappted by a silicone to pretect from corrosive environments in an eyeball. Then, the fabricated retinal prosthesis module was implanted into an eyeball of a rabbit. We successfully recorded electrically evoked potential (EEP) elicited from the rabbit brain by the current stimulation supplied from the implanted retinal prosthesis module. EEP amplitude was increased linearly with illumination intensity and irradiation time of incident light. The retinal prosthesis chip was well functioned after implanting into the eyeball of the rabbit.

Fuzzy Clustering Based Medical Image Watermarking (퍼지클러스터링 기반 의료 영상 워터마킹)

  • Alamgir, Nyma;Kim, Jong-Myon
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.7
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    • pp.487-494
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    • 2013
  • Medical image watermarking has received extensive attention as wide security services in the healthcare information system. This paper proposes a blind medical image watermarking approach on the segmented gray-matter (GM) images by utilizing discrete wavelet transform (DWT) and discrete cosine transform (DCT) along with enhanced suppressed fuzzy C-means (EnSFCM) for the optimal selection of sub-blocks position to insert a watermark. Experimental results show that the proposed approach outperforms other methods in terms of peak signal to noise ratio (PSNR) and M-SVD. In addition, the proposed approach shows better robustness than other methods in normalized correlation (NC) values against several attacks, such as noise addition, filtering, JPEG compression, blurring, histogram equalization, and cropping.

A Covariance Analysis Using the Kalman Filterings for Interrelationships Research between Sensor Signals of the Real Time Simulator of Launch Control System in the NARO Space Center (나로우주센터 발사관제시스템 실시간 발사관제 모의장치의 센서 신호간 연관성 해석을 위한 퍼지-칼만필터 공분산 분석)

  • Hong Il-Hee;Department of Electrical Engineering Chungnam National University Yang-MoKim
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.4 s.304
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    • pp.25-34
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    • 2005
  • We had research to conduct interrelationships between sensors using postprocessing analysis with the Fuzzy-Kalman Filtering Auto-Correlation about Real Time Simulator data of the NaroSC LCS in case of a fully blind situation scenario. The conducted interrelations are same harmony with relations in scenario. We had analyzed signals of sensors reverse-using a optimization character of Fuzzy-Kalman Filter. As our research conclusion, We had recognized possibilities of signal processing about the KSLV-1, on-board payloads, general equipments of ground support which apply to multi sensor systems.