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High-performance real-time implementation of a spectral estimator

机译:频谱估计器的高性能实时实现

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Doppler blood flow spectral estimation is a common technique of non-invasive cardiovascular disease detection. Blood flow velocity and disturbance may be evaluated by measuring spectral mean frequency and bandwidth respectively. Aiming at minor stenosis diagnosis, parametric spectral estimators may be empolyed. These models present better spectral resolution than the FFT based ones, at the expense of higher computational burden. Seeking for an efficient real-time implementation of a blood flow spectral estimation system, high performance techniques are being investigated. This paper compares the implementation of the MOdified Covariance (MC) spectral estimator on two different DSP architectures: the TMS320C40 and the ADSP2016x (SHARC). Implementations are described and their performance assessed. Considerations about portability of algorithms, compiler optimisation levels and system dependence features are addressed. Copyright direct C 1998 IFAC
机译:多普勒血流频谱估计是非侵入性心血管疾病检测的常用技术。可以分别通过测量频谱平均频率和带宽来评估血流速度和干扰。针对轻度狭窄的诊断,可能会使用参数频谱估计器。这些模型比基于FFT的模型具有更好的频谱分辨率,但代价是计算量更大。为了有效地实时实施血流频谱估计系统,正在研究高性能技术。本文比较了调制协方差(MC)频谱估计器在两种不同的DSP架构上的实现:TMS320C40和ADSP2016x(SHARC)。描述实现并评估其性能。解决了有关算法可移植性,编译器优化级别和系统依赖功能的注意事项。直接版权C 1998 IFAC

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