摘要 :
A set of seven audio digital signal processing (DSP) lab assignments have been developed for intermediate and advanced students in electrical engineering. The laboratory modules are designed to bridge the gap between a solid under...
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A set of seven audio digital signal processing (DSP) lab assignments have been developed for intermediate and advanced students in electrical engineering. The laboratory modules are designed to bridge the gap between a solid understanding of the mathematical principles of DSP and the practical issues that arise when implementing algorithms for real time audio processing. The audio DSP lab assignments assume a prerequisite of a one semester course in discrete-time signals and systems. The exercises include basic delay lines, recirculating delay lines for audio effects (echo, flanging, phasing, artificial reverberation), variable and parametric IIR equalizer filters, real time signal synthesis techniques (pseudo-random noise, wave table lookup methods, and direct computation), FFT and short-time Fourier transform (STFT) methods, and nonlinear and adaptive audio processes.
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Every power converter needs a precise synchronization method to be able to connect to the utility grid. The synchronization impacts directly on the performance of the converter. Synchronization algorithms are often based on the we...
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Every power converter needs a precise synchronization method to be able to connect to the utility grid. The synchronization impacts directly on the performance of the converter. Synchronization algorithms are often based on the well known Synchronous Reference Frame Phase Locked Loop (SRF-PLL). These are usually implemented in software on Digital signal Processors (DSP) or Microcontrollers and the maximum sample rate that can be achieved is limited by the hardware used. In this paper a simple and highly effective Field Programmable Gate Array (FPGA) implementation of a Phase Locked Loop (PLL) algorithm based on a Second Order Generalized Integrator PLL (SOGI-PLL) with a high sampling frequency of 500 kHz and 16 bit resolution is presented in detail. Design time is drastically reduced by the use of a fast-prototype high-level synthesis tool without the need of any Hardware Description Language (HDL) code. Both simulation and experimental results on a Xilinx FPGA show an excellent behavior even against severe distortion and frequency or phase steps in the input voltage.
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In this paper, we describe an embed iris recognition system for the personal identification. Different from other iris recognition system, we use only one DSP core (TMS320DM642), which can complete image acquisition, image process...
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In this paper, we describe an embed iris recognition system for the personal identification. Different from other iris recognition system, we use only one DSP core (TMS320DM642), which can complete image acquisition, image processing, and communication with the peripheral circuits. The whole system not only can reduce costs, shorten the development cycle, and also can reduce power consumption. And we design a originality image acquisition mode, which can get a high quality image without the manual intervention. We design the abundant peripheral port in our system; it can provide a good running platform for the high-speed image processing.
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The paper presents the state-of-art of real time digital signal processing in aspects of DSP algorithms computational complexity and in aspect of modern DSP architecture capability.
摘要 :
The paper presents the state-of-art of real time digital signal processing in aspects of DSP algorithms computational complexity and in aspect of modern DSP architecture capability.
摘要 :
Signal processing algorithms and DSP chips are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. Applications of digital signal processing (DSP) in engineering include electrical,...
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Signal processing algorithms and DSP chips are embedded nearly in every application that involves natural signal or data analysis and/or synthesis. Applications of digital signal processing (DSP) in engineering include electrical, mechanical, chemical, industrial and biomedical systems. Applications in other areas include entertainment, financial, health, computing, manufacturing, to name a few. At ASU we developed an elective course for an undergraduate program called Digital Culture that includes gaming, smart stages, computer music, visualization and other applications. We have offered the course online to arts majors in 2013. We begun adding multidisciplinary application content to this course and offered it again in 2015 as a hybrid online course with compulsory weekly on-campus sessions. Arrangements are being made to include it as an elective course in information management systems, computer informatics, mechanical engineering, and biomedical informatics. The course now includes several introductory topics in signal processing covered mostly at a qualitative and block diagram level; we added several simulations in MATLAB and in Java-DSP. The course covers basics of DSP starting from time and frequency domain analysis and sampling. It then covers digital FIR ad IIR filters and the FFT. About one third of the course covers applications which introduce qualitative descriptions of some advanced topics. For example, linear prediction and coding of speech are described at the block diagram level with MATLAB and Java simulations. Extensions to 2-D signal processing are covered as well with the focus on JPEG and MPEG applications. The syllabus, simulations and preliminary assessments of this course are presented in the paper.
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As Digital Signal Processors and digital signal processing technology are in increasing process, optimization of previously developed code for Digital Signal Processors has become more and more important. This paper presents an ap...
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As Digital Signal Processors and digital signal processing technology are in increasing process, optimization of previously developed code for Digital Signal Processors has become more and more important. This paper presents an approach for porting Dolby Pro Logic II audio decoder, from the reference platform to the targeted DSP architecture. The overall system is firstly analyzed and then ported to the DSP platform. The system features are validated and verified using software simulations and audio system measurements in real-time conditions. The application of targeted DSP system is in audio processing for digital TV receivers, mobile phones, headsets, etc. The results have shown that execution time is decreased in the final system, and that higher sampling rates are enabled for better performances.
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摘要 :
As Digital Signal Processors and digital signal processing technology are in increasing process, optimization of previously developed code for Digital Signal Processors has become more and more important. This paper presents an ap...
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As Digital Signal Processors and digital signal processing technology are in increasing process, optimization of previously developed code for Digital Signal Processors has become more and more important. This paper presents an approach for porting Dolby Pro Logic II audio decoder, from the reference platform to the targeted DSP architecture. The overall system is firstly analyzed and then ported to the DSP platform. The system features are validated and verified using software simulations and audio system measurements in real-time conditions. The application of targeted DSP system is in audio processing for digital TV receivers, mobile phones, headsets, etc. The results have shown that execution time is decreased in the final system, and that higher sampling rates are enabled for better performances.
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Transmission line icing is one of the common disasters in power system. Icing phenomenon is influenced by many external factors, such as climatic condition, voltage degree and so on. Observation is extremely difficult due to these...
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Transmission line icing is one of the common disasters in power system. Icing phenomenon is influenced by many external factors, such as climatic condition, voltage degree and so on. Observation is extremely difficult due to these reasons. This paper depicts the design of an on-line monitoring system of transmission line icing based on DSP. The system captures icing images by CCD (Charge Coupled Device) camera and samples micrometeorology parameters by sensors. Thickness of ice can be directly calculated by image processing methods and ice density can also be calculated with ice thickness and micrometeorology parameters. GPRS (General Packet Radio Service) wireless network is used in this system to transmit image data and other useful information to monitoring center so that the data can be saved and managed.
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摘要 :
Transmission line icing is one of the common disasters in power system. Icing phenomenon is influenced by many external factors, such as climatic condition, voltage degree and so on. Observation is extremely difficult due to these...
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Transmission line icing is one of the common disasters in power system. Icing phenomenon is influenced by many external factors, such as climatic condition, voltage degree and so on. Observation is extremely difficult due to these reasons. This paper depicts the design of an on-line monitoring system of transmission line icing based on DSP. The system captures icing images by CCD (Charge Coupled Device) camera and samples micrometeorology parameters by sensors. Thickness of ice can be directly calculated by image processing methods and ice density can also be calculated with ice thickness and micrometeorology parameters. GPRS (General Packet Radio Service) wireless network is used in this system to transmit image data and other useful information to monitoring center so that the data can be saved and managed.
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