• Title/Summary/Keyword: Digital Signal Processing

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Optical Signals Using Superposition of Optical Receiver Modes

  • Lee, Jae Seung
    • Current Optics and Photonics
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    • v.1 no.4
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    • pp.308-314
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    • 2017
  • A particular optical receiver has its own optical receiver modes (ORMs) determined by its optical and electrical filters. Superposing the ORM waveforms at the transmitter, we can generate a new type of optical signals, called ORM signals. After optical detection, they produce pre-specified voltage waveforms accurately, which is advantageous for digital signal processing. Assuming a Gaussian optical receiver, where the optical and electrical filters are Gaussian, we illustrate various phase-shift keying ORM signals using two ORMs by changing their relative phase. We also illustrate multi-level ORM signal patterns using two or more ORMs.

Digital Watermarking using DCT and Color Coordinate of Human Vision (DCT 변환과 인간시각 칼라좌표계를 이용한 디지털 워터마킹)

  • 박성훈;김정엽;현기호
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.243-246
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    • 2002
  • The proliferation of digitized media(audio, image and video) is creating a processing need for copyright enforcement schemes that protect copyright ownership. we argue that a watermark must be placed in perceptually significant components of a signal if it is to be robust to signal distortions and malicious attack. In this paper, RGB coordinate image is transformed into LUV coordinate, it include the characteristics of, Human vision and then the UV component is transformed into NxN block DCT transform. we propose a technique for embedding the watermark of visually recognizable mark into the middle frequency domain of image.

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Implementation and evaluation of the BCG measurement system for non-constrained health monitoring (무구속 건강모니터링을 위한 심탄도 계측 시스템 구현 및 평가)

  • Noh, Yun-Hong;Jeong, Do-Un
    • Journal of Sensor Science and Technology
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    • v.19 no.1
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    • pp.8-16
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    • 2010
  • This research proposes measuring of BCG(ballistocardiogram) to monitor heart activities in a non-constrained environment, at home or work. Unlike with ECG, measuring BCG does not require the attachment of leads on the subject's body and allows signal measuring in a non-constrained state. It enables effective long-term monitoring of cardiac conditions. In this study a chair type BCG measurement system to continuous monitor the activity of the heart is implemented. The instrument consists of upper petal and ready for press of chair load cell sensor is attached to measure the change of the object's weight. In order to extract the output ballistic signal from the weight and force sensor signals. Beside the signal processing circuit for the digital conversion, the ballistic signal is detected using DAQ equipment. Signal processing algorithm including wavelet transforms for noise cancellation, template matching for normalization and peak detection in BCG is developed. ECG and BCG were concurrently measured to evaluate the performance of the system, and comparing the characteristics of the two signals verified the possibility of the system in non-constrained and nonconscious health monitoring.

A Design of Multi format HD LCD Monitor for Broadcasting (방송용 Multi format HD LCD Monitor의 설계)

  • Han, Sung-Il;Jun, Eung-Sup;Noh, Hyung-Il
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.3
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    • pp.37-43
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    • 2010
  • In this study, the multi format 8.4" LCD monitor for broadcasting has been proposed by the simple circuit design and the efficient processing technique. The small sizing technique, the mixed-type video signal processing technique, the emerging skill of multi-format HD signal to one port, the dividing technique between the analog and digital signal, the embedded audio signal developing technique are the key researches of this study. The proposed multi format 8.4" LCD monitor has been focused on the broadcasting field and has been supposed to have the efficiency at that field.

Digital Image Processing Using Non-separable High Density Discrete Wavelet Transformation (비분리 고밀도 이산 웨이브렛 변환을 이용한 디지털 영상처리)

  • Shin, Jong Hong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.1
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    • pp.165-176
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    • 2013
  • This paper introduces the high density discrete wavelet transform using quincunx sampling, which is a discrete wavelet transformation that combines the high density discrete transformation and non-separable processing method, each of which has its own characteristics and advantages. The high density discrete wavelet transformation is one that expands an N point signal to M transform coefficients with M > N. The high density discrete wavelet transformation is a new set of dyadic wavelet transformation with two generators. The construction provides a higher sampling in both time and frequency. This new transform is approximately shift-invariant and has intermediate scales. In two dimensions, this transform outperforms the standard discrete wavelet transformation in terms of shift-invariant. Although the transformation utilizes more wavelets, sampling rates are high costs and some lack a dominant spatial orientation, which prevents them from being able to isolate those directions. A solution to this problem is a non separable method. The quincunx lattice is a non-separable sampling method in image processing. It treats the different directions more homogeneously than the separable two dimensional schemes. Proposed wavelet transformation can generate sub-images of multiple degrees rotated versions. Therefore, This method services good performance in image processing fields.

Implementation of $2{\times}2$ MIMO LTE Base Station using GPU for SDR System (GPU를 이용한 SDR 시스템 용 LTE MIMO 기지국 기능 구현)

  • Lee, Seung Hak;Kim, Kyung Hoon;Ahn, Chi Young;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.91-98
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    • 2012
  • This paper implements 2X2 MIMO Long Term Evolution (LTE) base station using Software defined radio (SDR) technology. The implemented base station system processes baseband signals on a Graphics Processor Unit(GPU). GPU is a high-speed parallel processor which provides very important advantage of using a very powerful C-based programming environment that is Compute Unified Device Architecture (CUDA). The implemented software-based base station system processes baseband signals through GPU. It utilizes USRP2 as its RF transceiver. In order to guarantee a real-time processing of LTE baseband signals, we have adopted well-known signal processing algorithms such as frame synchronization algorithms, ML detection, etc. using GPU operating in parallel processing.

Image Data Processing by Lee Weighted Hadamard Transform (이 웨이티드 아다마르 변환을 이용한 영상신호 처리에 관한 연구)

  • 이문호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.10 no.2
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    • pp.93-103
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    • 1985
  • The digital signal processing technique by bandwidth compression has been grown up ragidly owing to integrated circuit developments. In this project, we have proposed the Lee Weighted Hadamard (LWH) transform which retains the main properties of Hadamard matirx. The LWH matrix was weighted in the center of the spatial domain. The human visual of the mid spatial are emphasized more than the low and high spatial frequencies. The fast algorithms of the LWH transform has been studied for hardware realization. The result of this project are availabel to airplane photograph, X-Ray, CATV and the artificial satellite of the digital image processing.

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A Study of Depth Estimate using GPGPU in Monocular Image (GPGPU를 이용한 단일 영상에서의 깊이 추정에 관한 연구)

  • Yoo, Tae Hoon;Lee, Gang Seong;Park, Young Soo;Lee, Jong Yong;Lee, Sang Hun
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.345-352
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    • 2013
  • In this paper, a depth estimate method is proposed using GPU(Graphics Processing Unit) in monocular image. a monocular image is a 2D image with missing 3D depth information due to the camera projection and we used a monocular cue to recover the lost depth information by the projection present. The proposed algorithm uses an energy function which takes a variety of cues to create a more generalized and reliable depth map. But, a processing time is late because energy function is defined from the various monocular cues. Therefore, we propose a depth estimate method using GPGPU(General Purpose Graphics Processing Unit). The objective effectiveness of the algorithm is shown using PSNR(Peak Signal to Noise Ratio), a processing time is decrease by 61.22%.

Development of Digital Signage System for Remote Video Advertisement in OSGi Service Platform (OSGi 서비스 플랫폼에서 원격 영상광고 송출 디지털 사이니지 시스템 개발)

  • Chung, Kyung Yong;Jeong, In Jae;Lee, Young Sil
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.4
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    • pp.232-237
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    • 2019
  • It has recently been combined with advanced technologies such as AR and VR, and its application range is expanding to various forms of smart signage. However, until now, digital signage service that reaches us is installed in many floating populations such as bus stops, elevators, and banks and is used in the form of providing news, weather, and advertisements. In addition, large companies, government offices, and outdoor advertising companies occupy the market. The use of such services in small and medium-sized businesses and small retail stores is costly and expensive to manage. Also, it is difficult to generalize the market because services and solutions are being deployed in the market in the form of top-down. Therefore, in this paper, we proposed a digital signage system for transmitting a remote video advertisement that uses a show window in front of the store as a beam project screen for small retail stores, and can remotely set and manage and update it in OSGi service platform.

The Effects of Hearing Aid Digital Noise Reduction and Directionality on Acceptable Noise Level

  • Ahmadi, Roghayeh;Jalilvand, Hamid;Mahdavi, Mohammad Ebrahim;Ahmadi, Fatemeh;Baghban, Ali Reza Akbarzade
    • Clinical and Experimental Otorhinolaryngology
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    • v.11 no.4
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    • pp.267-274
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    • 2018
  • Objectives. Two main digital signal processing technologies inside the modern hearing aid to provide the best conditions for hearing aid users are directionality (DIR) and digital noise reduction (DNR) algorithms. There are various possible settings for these algorithms. The present study evaluates the effects of various DIR and DNR conditions (both separately and in combination) on listening comfort among hearing aid users. Methods. In 18 participants who received hearing aid fitting services from the Rehabilitation School of Shahid Beheshti University of Medical Sciences regularly, we applied acceptable noise level (ANL) as our subjective measure of listening comfort. We evaluated both of these under six different hearing aid conditions: omnidirectional-baseline, omnidirectional-broadband DNR, omnidirectional-multichannel DNR, directional, directional-broadband DNR, and directional-multichannel DNR. Results. The ANL results ranged from -3 dB to 14 dB in all conditions. The results show, among all conditions, both the omnidirectional-baseline condition and the omnidirectional-broadband DNR condition are the worst conditions for listening in noise. The DIR always reduces the amount of noise that patients received during testing. The DNR algorithm does not improve listening in noise significantly when compared with the DIR algorithms. Although both DNR and DIR algorithms yielded a lower ANL, the DIR algorithm was more effective than the DNR. Conclusion. The DIR and DNR technologies provide listening comfort in the presence of noise. Thus, user benefit depends on how the digital signal processing settings inside the hearing aid are adjusted.