• Proceedings of the KOSOMBE Conference
• /
• v.1997 no.05
• /
• pp.342-344
• /
• 1997

Owing to technical advances in very large-scale integrated circuits (VLSI), high-speed digital signal processing (DSP) chips become fast enough to allow for real-time implementation of hearing aid algorithms in units small enough to be wearable. In this paper, we present a digital hearing aid processor (DHAP) chip built around a general-purpose 16-bit DSP core. The designed DHAP performs a nonlinear loudness correction of 8 octave frequency bands based on audiometric measurements. By employing a programmable DSP, the DHAP provides all the flexibility needed to implement audiological algorithms. In addition, the has a low power feature and $5.410\times5.720mm^2$ dimensions that fit for wearable devices.

• Proceedings of the KIPE Conference
• /
• 2008.06a
• /
• pp.66-68
• /
• 2008

본 논문은, 전력계통 내의 순시 파형으로부터 전력품질 자동진단을 위한 인공지능형 단상전력품질 진단기를 제안한다. 진단하는 전력품질은 전압강하(Sag), 전압상승(Swell), 과도현상(Transient) 및 전고조파함유율(THD) 이다. 인공지능 구현을 위해서 인공신경망 이론을 이용하였으며, 시뮬레이션 및 TI DSP 320C6713 사용하여 하드웨어를 구현하였다. 인공신경망의 학습을 위하여, 00변전소에서 일년(2007년)동안 측정한 데이터 중에서 Sag, Swell, Transient 특성이 명확히 관측된 150주기의 파형과 정상상태의 50주기 파형으로 구성된 총 200주기의 데이터를 사용하였다. 측정된 파형을 1/60[sec.]마다 256번 샘플링하여, FFT 및 웨이블렛 변환을 시행하여 얻어진 값을 인공신경망 학습에 사용하였다. 상용프로그램 PSIM을 이용하여 인공신경망 학습을 시뮬레이션하였으며, DSP 프로세서를 이용하여 하드웨어로 구현하여 검증하였다.

• Speech Sciences
• /
• v.14 no.4
• /
• pp.157-167
• /
• 2007

In this paper, we implemented a single-chip speech recognizer using the TMS320C2000 DSPs. For this implementation, we had developed very small-sized speaker-dependent recognition engine based on dynamic time warping, which is especially suited for embedded systems where the system resources are severely limited. We carried out some optimizations including speed optimization by programming time-critical functions in assembly language, and code size optimization and effective memory allocation. For the TMS320F2801 DSP which has 12Kbyte SRAM and 32Kbyte flash ROM, the recognizer developed can recognize 10 commands. For the TMS320F2808 DSP which has 36Kbyte SRAM and 128Kbyte flash ROM, it has additional capability of outputting the speech sound corresponding to the recognition result. The speech sounds for response, which are captured when the user trains commands, are encoded using ADPCM and saved on flash ROM. The single-chip recognizer needs few parts except for a DSP itself and an OP amp for amplifying microphone output and anti-aliasing. Therefore, this recognizer may play a similar role to dedicated speech recognition chips.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.57.3-57
• /
• 2001

This paper introduces a system which offers the possibility to access remote CAN devices over the Internet as if they were local. The system consists of a local computer and the DSP server. The DSP is connected to a CAN bus with a DC motor and to a Internet simultaneously. The DSP board consists of a LAN controller and a CAN controller. It can convert to a protocol between CAN and Internet. The DSP board is not based on a personal computer. This board is profited a small and light system.

• Proceedings of the Korean Society of Marine Engineers Conference
• /
• 2006.06a
• /
• pp.249-250
• /
• 2006

In this paper, hardware design and implementation of digital controller for the High Precision Digital Power Supply (HPDPS) based on Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA) is presented. Developed digital controller is composed of high resolution Digital Pulse Width Modulation (DPWM) and high resolution analog to digital converter circuit with anti-aliasing filter. And Digital Signal Processor (DSP) has the capability of a few micro-second calculation time for one feedback loop. 32-bit DSP and DPWM with 150[ps] step resolution is used to implement the HPDPS. Also 18-bit 2 mega sample per second ADC board is adopted for the developed digital controller. Also, hardware structure of the developed digital controller and experimental results of the first prototype board for HPDPS is described.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.10
• /
• pp.922-929
• /
• 2004

In this paper, we develop control hardware such as an FPGA based general purposed intelligent controller with a DSP board to solve nonlinear system control problems. PID control algorithms are implemented in an FPGA and neural network control algorithms are implemented in a BSP board. An FPGA was programmed with VHDL to achieve high performance and flexibility. The additional hardware such as an encoder counter and a PWM generator can be implemented in a single FPGA device. As a result, the noise and power dissipation problems can be minimized and the cost effectiveness can be achieved. To show the performance of the developed controller, it was tested fur nonlinear systems such as a robot hand and an inverted pendulum.

• JSTS:Journal of Semiconductor Technology and Science
• /
• v.7 no.4
• /
• pp.229-234
• /
• 2007

In this paper, we present an efficient instruction set architecture using vector register file hardware to accelerate operation of general matrix-vector operations in DSP microprocessor. The technique enables in-situ row-access as well as column access to the register files. It can reduce the number of memory access significantly. The technique is especially useful for block-based video signal processing kernels such as FFT/IFFT, DCT/IDCT, and two-dimensional filtering. We have applied the new instruction set architecture to in-loop deblocking filter processing in H.264 decoder. Performance comparisons show that the required load/store operations for the in-loop deblocking filter can be reduced about 42%. The architecture would improve the processing speed, and code density in DSP microprocessor especially for video signal processing substantially.

• Proceedings of the KIEE Conference
• /
• 2006.04a
• /
• pp.222-224
• /
• 2006

Since most real experimental situations are different from those of the simulations, it is required to modify control rules through experiments owing to uncertainties and unmodeled dynamics of the plant. This paper presents a convenient monitoring system which can display system responses exactly and test the performances of the control system. We design a PID controller using DSP board and propose a monitoring system based on PC and C++ Builder program. With the proposed monitoring system we can easily control the velocity of a DC motor system.

• Proceedings of the KIPE Conference
• /
• 2002.07a
• /
• pp.16-19
• /
• 2002

The switched reluctance motor(SRM) drive system provides a good adjustable speed and torque characteristics. However, because of the torque production mechanism, it also has some disadvantage such as higher torque ripple and fluctuation in speed. To reduce torque ripple and to control speed precisely, digital signal processor(DSP) is adopted. The DSP TMS320F241 was used to be realized this drive system. Test results show that the suggested control system has the ability of dynamic and precise speed control.

• Proceedings of the KIEE Conference
• /
• 2002.11c
• /
• pp.305-308
• /
• 2002

Because the digital control includes microprocessor different from an analog control, the digital control enables to monitor internal parameters of DC-DC converter and to control output voltage remotely by communicating with a Window based PC and also to monitor whether exact voltage is output or not. These things are impossible in an analog control. In this paper, a simple buck converter controlled by DSP is implemented. This converter outputs 0V to 5V from 15V input voltage and is controlled by a PD algorithm using DSP(TMS320C31). Finally the response characteristics of a step reference voltage and a digital controlled converter are analyzed to verify the usefulness of this converter.