FORWARD-BACKWARD NONLINEAR FILTERING TECHNIQUE FOR EXTRACTING SMALL BIOLOGICAL SIGNALS FROM NOISE
FORWARD-BACKWARD NONLINEAR FILTERING TECHNIQUE FOR EXTRACTING SMALL BIOLOGICAL SIGNALS FROM NOISE
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DOI：
10.1016/0165-0270(91)90118-j
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发表时间：
1991-11-01
影响因子：
3
通讯作者：
KENNEDY, RA
中科院分区：
文献类型：
--
作者：
CHUNG, SH;KENNEDY, RA
描述了一种用于减少背景噪声以揭示小的生物信号的新颖且计算高效的非线性信号处理技术。通过对一组因果（前向）和反因果（后向）预测器的输出进行加权来形成信号估计。在每个数据点处自适应地确定用于联合收割机组合预测器的权重，以反映短分析窗口内相应预测器的性能。该方法是专门设计用于揭示快速瞬态信号占主导地位的噪声，如单通道或突触后电流。利用该方法提取了嵌入在放大器噪声中的马尔可夫信号和指数衰减信号，并与原始信号进行了比较。这种模拟的结果表明，这种非线性方法的优点，低通滤波。利用我们的非线性滤波技术，可以可靠地恢复嵌入在宽带放大器噪声中的短脉冲。此外，即使当信号由噪声主导时，也可以以可接受的精度测量单个通道的动力学和指数衰减信号的时间常数。
A novel and computationally efficient, non-linear signal processing technique for reducing background noise to reveal small biological signals is described. The signal estimate is formed by weighting the outputs of a set of causal (forward) and anti-causal (backward) predictors. The weights used to combine the predictors are adaptively determined at each data point to reflect the performance of the respective predictor within a short analysis window. The method is specifically designed for revealing fast transient signals dominated by noise, such as single-channel or post-synaptic currents. Markovian and exponentially decaying signals embedded in the amplifier noise were extracted using this method and compared with the original signals. The results of such simulations demonstrate the advantage of this non-linear method over low-pass filtering. Brief pulses imbedded in a broad-band amplifier noise can be reliably recovered using our non-linear filtering technique. Moreover, the kinetics of a single channel and the time constant of exponentially decaying signals can be measured with acceptable accuracy even when the signals are dominated by noise.