• Title/Summary/Keyword: DSP (Digital Signal Processing)

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Overview and Development of Digital SignalProcessing

  • Zhang, Chun-Xu;Shin, Yun-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.65-70
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    • 2008
  • Digital signal processing (DSP) is the process of taking a signal and performing an algorithm on it to analyze, modify, or better identify that signal.[1] To take advantage of DSP advances, one must have at least a basic understanding of DSP theory along with an understanding of the hardware architecture designed to support these new advances. There are several programming techniques that maximize the efficiency of the DSP hardware, as well as a few fundamental concepts used to implement DSP software. This article introduced some of these underlying functions that are the building blocks of complex signal processing functions, and It will touch on the fundamental concepts of DSP theory and algorithms and also provide an overview of the implementation and optimization of DSP software, and discuss the development of DSP.

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A Study of the Digital Modulation using DSP (DSP를 이용한 디지털 변조에 관한 연구)

  • 최상권;최진웅;김정국
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.89-92
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    • 2001
  • In this paper, as a study of programmable software radio digital communication, we implemented ASK(Amplitude Shift Keying), FSK(Frequency Shift Keying), and PSK(Phase Shift Keying) modulation using programmable software(algorithm) of DSP(Digital Signal Processor). Moreover, it is possible to select one of those three modulation methods by realizing on single DSP. We adopted Motorola DSP56002 and Crystal CS4215(A/D and D/A converter) for our purpose. The DSP56002 is 24-bit and operates 20 MIPS at 40 MHz, and the CS4215 is 16-bit and supports the maximum 50 kHz sampling frequency.

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Implementation and Performance Evaluation of the System for Speech Services using VMEbus (VMEbus 를 이용한 음성 서비스 시스템의 구현 및 성능평가)

  • Kwon, Oh-Il;Kang, Kyung-Young;Kim, Tong-Ha;Rhee, Tae-Won
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.1
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    • pp.93-101
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    • 1996
  • In this paper, we implement the system for speech processing to provide the subscribers who are using the telephone network with better speech services. We develop the specified board which is processing speech signal and devise the system which carries out storing and replaying the speech signal under the condition that one master board controls multiple DSP(Digital Signal Processing) boards using VME bus. We use CPU30 board as a maste board and develop SPM(Signal Processing Module) board as a DSP board and then evaluate performance of the system.

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Directional realization of in the ear hearing aid using digital filters (디지털 필터를 사용한 귓속형 보청기의 지향성 실현)

  • Jarng, Soon-Suck;Kwon, You-Jung
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.2
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    • pp.123-129
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    • 2017
  • In this paper, the realization of a directional digital hearing aid was considered. Conventional time domain time delay method was replaced with digital filters in order to make any general-purposed DSP (Digital Signal Processing) chip to produce the similar directivity pattern. Both the time delay algorithm and the digital filter algorithm were initially evaluated by Matlab (Matrix laboratory) for comparison, and it was confirmed by CSR 8675 Bluetooth DSP IC (Digital Signal Processing Integrated Circuit) chip firmware realization. Some remote control features by a smart phone was added to the smart hearing aid for user interface easiness.

A Reconfigurable Digital Signal Processing Architecture for the Evolvable Hardware System (진화 하드웨어 시스템을 위한 재구성 가능한 디지털 신호처리 구조)

  • Lee, Han-Ho;Choi, Chang-Seok;Lee, Yong-Min;Choi, Jin-Tack;Lee, Chong-Ho;Chung, Duk-Jin
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.663-664
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    • 2006
  • This paper presents a reconfigurable digital signal processing(rDSP) architecture that is effective for implementing adaptive digital signal processing in the applications of smart health care system. This rDSP architecture employs an evolution capability of FIR filters using genetic algorithm. Parallel genetic algorithm based rDSP architecture evolves FIR filters to explore optimal configuration of filter combination, associated parameters, and structure of feature space adaptively to noisy environments for an adaptive signal processing. The proposed DSP architecture is implemented using Xilinx Virtex4 FPGA device and SMIC 0.18um CMOS Technology.

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An Implementation of Noise Canceler by using FIR Filter on DSP (DSP에서 FIR 필터를 이용한 잡음 제거기 구현)

  • 김정국;이충근
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.08a
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    • pp.357-360
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    • 2000
  • In this paper, we want to implement a noise canceller by using FIR filter on DSP(Digital Signal Processor). The FIR filter was designed by Blackman window together with desired band width and center frequency. We adopt Motorola DSP56002 and Crystal CS4215 (A/D and D/A converter) for our purpose. we generate input sinusoidal signals and noises by differential equations and pseudo random sequences on DSP also. The input signal including sinusoidal and noise passes through the FIR filter. The FIR filer output is a sinusoidal signal with noise reduced.

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A Study on Real Time Monitoring of Tool Breakage in Milling Operation Using a DSP (DSP를 이용한 정면 밀링공구의 실시간 파단 감시방법에 관한 연구)

  • Baek, Dae-Kyun;Ko, Tae-Jo;Kim, Hee-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.6
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    • pp.168-176
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    • 1996
  • A diagnosis system which can monitor tool breakage and chipping in real time was developed using a DSP(Digital Signal Processor) board in face milling operation. AR modelling and band energy method were used to extract the feature of tool states from cutting force signals. Artificial neural network embedded on DSP board discriminates different patterns from features got after signal processing. The features extracted from AR modelling are more accurate for the malfunction of a process than those from band energy method, even though the computing speed of the former is slow. From the processed features, we can construct the real time diagnosis system which monitors malfunction by using a DSP board having a parallel processing capability.

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Digital Signal Processing Techniques for the Equalization Digital On-Channel Repeater in the ATSC Terrestrial DTV System (ATSC 지상파 DTV 시스템의 등화형 디지털 동일 채널 중계기를 위한 디지털 신호 처리 기술)

  • Park Sung Ik;Eum Homin;Lee Yong-Tae;Kim Heung Mook;Seo Jae Hyun;Kim Hyoung-Nam;Kim Seung Won
    • Journal of Broadcast Engineering
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    • v.9 no.4 s.25
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    • pp.357-370
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    • 2004
  • In this paper we propose Digital Signal Processing (DSP) techniques for the Equalization Digital On-Channel Repeater(EDOCR) in the ATSC digital TV (DTV) System. DSP techniques consist of demodulation. baseband equalization, and remodulation. Since the time delay caused by signal processing in the EDOCR can seriously affect the performance of ATSC legacy receivers, it is required that the processing time should be minimized as much as possible. To achieve this goal, we focus on the reduction of the EDOCR's time delay with the minimization of its performance degradation. In addition, we present recommended proper parameters for hardware implementation based on extensive simulation result.

Implementation of a Thermal Imaging System with Focal Plane Array Typed Sensor (초점면 배열 방식의 열상카메라 시스템의 구현)

  • 박세화;원동혁;오세중;윤대섭
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.5
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    • pp.396-403
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    • 2000
  • A thermal imaging system is implemented for the measurement and the analysis of the thermal distribution of the target objects. The main part of the system is a thermal camera in which a focal plane array typed sensor is introduced. The sensor detects the mid-range infrared spectrum of target objects and then it outputs a generic video signal which should be processed to form a frame thermal image. Here, a digital signal processor(DSP) is applied for the high speed processing of the sensor signals. The DSP controls analog-to-digital converter, performs correction algorithms and outputs the frame thermal data to frame buffers. With the frame buffers can be generated a NTSC signal and transferred the frame data to personal computer(PC) for the analysis and a monitoring of the thermal scenes. By performing the signal processing functions in the DSP the overall system achieves a simple configuration. Several experimental results indicate the performance of the overall system.

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A Programmable Doppler Processor Using a Multiple-DSP Board (다중 DSP 보드를 이용한 프로그램 가능한 도플러 처리기)

  • 신현익;김환우
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.40 no.5
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    • pp.333-340
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    • 2003
  • Doppler processing is the heart of pulsed Doppler radar. It gives a clutter elimination and coherent integration. With the improvement of digital signal processors (DPSs), the implementation using them is more widely used in radar systems. Generally, so as for Doppler processor to process the input data in real time, a parallel processing concept using multiple DSPs should be used. This paper implements a programmable Doppler processor, which consists of MTI filter, DFB and square-law detector, using 8 ADSP21060s. Formulating the distribution time of the input data, the transfer time of the output data and the time required to compute each algorithm, it estimates total processing time and the number of required DSP. Finally, using the TSG that provides radar control pulses and simulated target signals, performances of the implemented Doppler processor are evaluated.