The proceedings contains 56 papers from the conference on SPIE: advancedsignalprocessingalgorithms, architectures, and implementations xi. The topics discussed include: modulation frequency and efficient audio codi...
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The proceedings contains 56 papers from the conference on SPIE: advancedsignalprocessingalgorithms, architectures, and implementations xi. The topics discussed include: modulation frequency and efficient audio coding;application of wavelet- and wavelet-packet-transform to human skin data;Wigner distribution and pulse propagation;time-frequency analysis using sidelobe apodization;spectral phase algorithm for detecting and estimating pitch;and minimum entropy approach to denoising time-frequency distributions.
We use the Wigner distribution to study pulse propagation in a dispersive media and we show that it leads naturally to a particle view. Using the results obtained we develop a simple approximation method that evolves ...
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ISBN:
(纸本)0819441880
We use the Wigner distribution to study pulse propagation in a dispersive media and we show that it leads naturally to a particle view. Using the results obtained we develop a simple approximation method that evolves a pulse in time.
We present a method for writing the differential equation for the smoothed Wigner distribution that corresponds to the solution of an ordinary linear differential equation. The method can be applied on an, linear ordi...
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ISBN:
(纸本)0819441880
We present a method for writing the differential equation for the smoothed Wigner distribution that corresponds to the solution of an ordinary linear differential equation. The method can be applied on an, linear ordinary differential equation with constant or time-varying coefficients.
We review, recent work on defining the time-frequency moments of a signal. Expressions are given for moments dropt(m)drop(omega), and of all orders n, m, in terms of the amplitude and phase of the signal and spectrum....
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ISBN:
(纸本)0819441880
We review, recent work on defining the time-frequency moments of a signal. Expressions are given for moments dropt(m)drop(omega), and of all orders n, m, in terms of the amplitude and phase of the signal and spectrum. Knowing the time-frequency moments is of interest for a variety of reasons. including their potential utility as features for classification of nonstationary signals, and also because from the moments one call construct the time-varying spectral density, or approximate it using a few moments.
Electron-optical image converters (EOIC) have been known to be useful in recording and investigating highspeed processes, nuclear physics experiments, automatic environmental control, medicine etc. In this paper the c...
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ISBN:
(纸本)0819441880
Electron-optical image converters (EOIC) have been known to be useful in recording and investigating highspeed processes, nuclear physics experiments, automatic environmental control, medicine etc. In this paper the cathode ray tubes with the cathodoluminescent screen having a sufficiently high level of the radiation temporal coherence (particularly on the basis of rare-earth phosphors) are proposed to be utilised as devices for the dynamic data input into the holographic correlator for realisation of TV signal recognition in real time. This approach allows combining both the radiation source and the spatial light modulator functions in one compact device.
This paper shows the design and the evaluation of on-line arithmetic modules for the most common operators used in DSP applications, using FPGAs as the target technology. The designs are highly optimized for the targe...
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ISBN:
(纸本)0819441880
This paper shows the design and the evaluation of on-line arithmetic modules for the most common operators used in DSP applications, using FPGAs as the target technology. The designs are highly optimized for the target technology and the common range of precision in DSP. The results are based on experimental data collected using CAD tools. All designs are synthesized for the same type of devices (xilinx XC4000) for comparison, avoiding rough estimates of the system performance, and generating a more reliable and detailed comparison of on-line signalprocessing solutions with other 'state of the art' approaches, such as distributed arithmetic. We show that on-line designs have a hard stand for basic DSP applications that use only addition and multiplication. However, we also show that on-line designs are able to overtake other approaches as the applications become more sophisticated, e.g. when data dependencies exist, or when non constant multiplicands restrict the use of other approaches.
This study develops and evaluates a new VHDL-based performance modeling capability for multiprocessor systems.* The framework for this methodology involved modeling the following system aspects: processor characteriza...
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ISBN:
(纸本)0819429163
This study develops and evaluates a new VHDL-based performance modeling capability for multiprocessor systems.* The framework for this methodology involved modeling the following system aspects: processor characterization, task modeling, network characterization, and data set size. Initially, all aspects are specified at an abstract) level, and eventually become specified at a detailed level through the process of verification and refinement of design assumptions. Processor characterization involves modeling the processor's speed, instruction set, and memory hierarchy. Task modeling is concerned with the execution time and instruction mix of software tasks within the system. Network characterization models bus protocols, topology, and bandwidths. Data set size refers to how much data is represented by the tokens used in the models. In this study, we applied and evaluated this methodology using both two-dimensional (2D) and three-dimensional (3D) infrared search and track (IRST) algorithms. Two different candidate processors were investigated: IBM PowerPC 604 and Texas Instruments TMS320C80. For the 2D IRST algorithm, the abstract and detailed performance modeling results were obtained far both processors using partitioned data and pipelined algorithmic approaches. For the 3D IRST algorithm, abstract performance models for pipelined and parallelized implementations on the PowerPC were developed. These models examined the feasibility of the implementations, the potential risk areas, and laid the groundwork for detailed performance modeling.
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