• Title/Summary/Keyword: Data Signal Processing

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A Study on the Development of Radar Signal Detecting & Processor (Radar Signal Detecting & Processing 장치의 개발에 관한 연구)

  • 송재욱
    • Journal of the Korean Institute of Navigation
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    • v.24 no.5
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    • pp.435-441
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    • 2000
  • This paper deals with the development of RACOM(Radar Signal Detecting & Processing Computer). RACOM is a radar display system specially designed for radar scan conversion, signal processing and PCI radar image display. RACOM contains two components; i )RSP(Radar Signal Processor) board which is a PCI based board for receiving video, trigger, heading & bearing signals from radar scanner & tranceiver units and processing these signals to generate high resolution radar image, and ⅱ)Applications which perform ordinary radar display functions such as EBL, VRM and so on. Since RACOM is designed to meet a wide variety of specifications(type of output signal from tranceiver unit), to record radar images and to distribute those images in real time to everywhere in a networked environment, it can be applicable to AIS(Automatic Identification System) and VDR(Voyage Data Recorder).

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Playback Signal Processing in a Digital High Density Magnetic Recording System (디지털 고밀도 자기기록 장치의 재생신호 처리에 관한 연구)

  • 이상록;박시우;박선기;박진우
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.12
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    • pp.31-39
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    • 1993
  • In the playback signal processing of a digital magnetic recording system, the major signal processing processes consist of pulse equalization. pulse detection, clock recovery, and data recovery. Equalizer which compensates interference occurrde between pulses recorded in high density on a magnetic media is realized by pulse slimming method, and pulse detection by a integrating detector. Clock recovery from the detector output was accomplished by using PLL. and data recovery to reduce noise effects was carried out by utilizing the three sampling clocks recovered in clock recovery process. In this paper these processes are implemented in hardware and its performance is evaluated by experimenting with a commercial DAT. It was found that the playback signal processor proposed is suitable to the practical high density magnetic recording system.

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High Embedding Capacity and Robust Audio Watermarking for Secure Transmission Using Tamper Detection

  • Kaur, Arashdeep;Dutta, Malay Kishore
    • ETRI Journal
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    • v.40 no.1
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    • pp.133-145
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    • 2018
  • Robustness, payload, and imperceptibility of audio watermarking algorithms are contradictory design issues with high-level security of the watermark. In this study, the major issue in achieving high payload along with adequate robustness against challenging signal-processing attacks is addressed. Moreover, a security code has been strategically used for secure transmission of data, providing tamper detection at the receiver end. The high watermark payload in this work has been achieved by using the complementary features of third-level detailed coefficients of discrete wavelet transform where the human auditory system is not sensitive to alterations in the audio signal. To counter the watermark loss under challenging attacks at high payload, Daubechies wavelets that have an orthogonal property and provide smoother frequencies have been used, which can protect the data from loss under signal-processing attacks. Experimental results indicate that the proposed algorithm has demonstrated adequate robustness against signal processing attacks at 4,884.1 bps. Among the evaluators, 87% have rated the proposed algorithm to be remarkable in terms of transparency.

Embodiment for Signal Processing System by Using the MATLAB (Matlab을 이용한 신호처리 시스템 구현)

  • Lee, Sang-Hoey;Son, Jong-Dae;Lee, Hyo-Sung;Lee, Heung-Ho
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2741-2743
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    • 2003
  • This paper simulates analog signal processing program by using Matlab GUI which is one of the application parts of Matlab. It is aimed of the embodiment to observe signal acquired by interfacing AD data converted by signal processing program using a simple Data Acquisition Board with computer through the Matlab GUI program and analyze the capability of Matlab CUI and other various signals-harmonic analysis, generating state of interval harmonic, observation of voltage state.

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Real-time 256-channel 12-bit 1ks/s Hardware for MCG Signal Acquisition (심자도 신호획득을 위한 실시간 256-채널 12-bit 1ks/s 하드웨어)

  • Yoo, Jae-Tack
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.11
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    • pp.643-649
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    • 2005
  • A heart diagnosis system adopts Superconducting Quantum Interface Device(SQUD) sensors for precise MCG(MagnetoCardioGram) signal acquisitions. Such system needs to deal with hundreds of sensors, requiring fast signal sampling md precise analog-to-digital conversions(ADC). Our development of hardware board, processing 64-channel 12-bit in 1 ks/s speed, is built by using 8-channel ADC chips, 8-bit microprocessors, SPI interfaces, and specially designed parallel data transfers between microprocessors to meet the 1ks/s, i.e. 1 mili-second sampling interval. We extend the design into 256-channel hardware and analyze the speed .using the measured data from the 64-channel hardware. Since our design exploits full parallel processing, Assembly level coding, and NOP(No Operation) instruction for timing control, the design provides expandability and lowest system timing margin. Our result concludes that the data collection with 256-channel analog input signals can be done in 201.5us time-interval which is much shorter than the required 1 mili-second period.

The Development of Modularized Post Processing GPS Software Receiving Platform using MATLAB Simulink

  • Kim, Ghang-Ho;So, Hyoung-Min;Jeon, Sang-Hoon;Kee, Chang-Don;Cho, Young-Su;Choi, Wansik
    • International Journal of Aeronautical and Space Sciences
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    • v.9 no.2
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    • pp.121-128
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    • 2008
  • Modularized GPS software defined radio (SDR) has many advantages of applying and modifying algorithm. Hardware based GPS receiver uses many hardware parts (such as RF front, correlators, CPU and other peripherals) that process tracked signal and navigation data to calculate user position, while SDR uses software modules, which run on general purpose CPU platform or embedded DSP. SDR does not have to change hardware part and is not limited by hardware capability when new processing algorithm is applied. The weakness of SDR is that software correlation takes lots of processing time. However, in these days the evolution of processing power of MPU and DSP leads the competitiveness of SDR against the hardware GPS receiver. This paper shows a study of modulization of GPS software platform and it presents development of the GNSS software platform using MATLAB Simulink™. We focus on post processing SDR platform which is usually adapted in research area. The main functions of SDR are GPS signal acquisition, signal tracking, decoding navigation data and calculating stand alone user position from stored data that was down converted and sampled intermediate frequency (IF) data. Each module of SDR platform is categorized by function for applicability for applying for other frequency and GPS signal easily. The developed software platform is tested using stored data which is down-converted and sampled IF data file. The test results present that the software platform calculates user position properly.

Noise Suppression of NMR Signal by Piecewise Polynomial Truncated Singular Value Decomposition

  • Kim, Daesung;Youngdo Won;Hoshik Won
    • Journal of the Korean Magnetic Resonance Society
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    • v.4 no.2
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    • pp.116-124
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    • 2000
  • Singular value decomposition (SVD) has been used during past few decades in the advanced NMR data processing and in many applicable areas. A new modified SVD, piecewise polynomial truncated SVD (PPTSVD) was developed far the large solvent peak suppression and noise elimination in U signal processing. PPTSVD consists of two algorithms of truncated SVD (TSVD) and L$_1$ problems. In TSVD, some unwanted large solvent peaks and noises are suppressed with a certain son threshold value while signal and noise in raw data are resolved and eliminated out in L$_1$ problem routine. The advantage of the current PPTSVD method compared to many SVD methods is to give the better S/N ratio in spectrum, and less time consuming job that can be applicable to multidimensional NMR data processing.

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Image Data Compression Using Laplacian Pyramid Processing and Vector Quantization (라플라시안 피라미드 프로세싱과 백터 양자화 방법을 이용한 영상 데이타 압축)

  • Park, G.H.;Cha, I.H.;Youn, D.H.
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1347-1351
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    • 1987
  • This thesis aims at studying laplacian pyramid vector quantization which keeps a simple compression algorithm and stability against various kinds of image data. To this end, images are devied into two groups according to their statistical characteristics. At 0.860 bits/pixel and 0.360 bits/pixel respectively, laplacian pyramid vector quantization is compared to the existing spatial domain vector quantization and transform coding under the same condition in both objective and subjective value. The laplacian pyramid vector quantization is much more stable against the statistical characteristics of images than the existing vector quantization and transform coding.

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Fractal Dimension Method for Connected-digit Recognition (연속음 처리를 위한 프랙탈 차원 방법 고찰)

  • Kim, Tae-Sik
    • Speech Sciences
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    • v.10 no.2
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    • pp.45-55
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    • 2003
  • Strange attractor can be used as a presentation method for signal processing. Fractal dimension is well known method that extract features from attractor. Even though the method provides powerful capabilities for speech processing, there is drawback which should be solved in advance. Normally, the size of the raw signal should be long enough for processing if we use the fractal dimension method. However, in the area of connected-digits problem, normally, syllable or semi-syllable based processing is applied. In this case, there is no evidence that we have sufficient data or not to extract characteristics of attractor. This paper discusses the relationship between the size of the signal data and the calculation result of fractal dimension, and also discusses the efficient way to be applied to connected-digit recognition.

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A study on the overlap scanning method for the driving efficiency improvement of LC Displays (액정 표시기의 구동효율 개선을 위한 중첩구동방식에 관한 연구)

  • 최선정;김용덕
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.31A no.7
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    • pp.110-116
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    • 1994
  • In this paper a Duty Effective Overlap Scanning method (DEOS) for the improvement of driving efficiency of LC displays which have the RMS voltage responding characteristics is proposed and new processing method of data signals for optimum application of this method is also proposed. Proposed method has a few advantages such as the increment of duty ratio the increment of driving power loaded on LC cell and the decrement of RMS voltage error rate caused by signal attenuation on electrodes composing of display when compared with the conventional method which is called as optimum voltage amplitude selection method. And also by adopting new data signal processing method which has 3 kinds of voltage levels additional advantage much improving crosstalk phenomenon which is the most serious problems of simple matrix structured display is obtained. For the characteristic estimation new mathematical representation for new overlap scanning method and data signal processing method are induced and defined. And by the defined formula and simulation the characteristics of the proposed method and the conventional method are compared and analyzed. As a result of estimation this new method being able to optimize the overlap rate of scan signal and using 3 levels of data signals has the characteristic which can improve the driving efficiency of LC displays.

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