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Iteratively trend detection signal in the presence tough measures, based on the method of least modules

机译:基于最小模块的方法,在存在困难措施的情况下迭代趋势检测信号

摘要

iteration method u0432u044bu0434u0435u043bu0435u043du0438u00a0 trend signal when there is a gross measurement, based on the method of the lowest modules released in the u0432u0430u0440u0438u0430u0446u0438u043eu043du043du043e - u0432u0437u0432u0435u0448 u0435u043du043du044bu0445 shanks' square approximation method of least squares, u0437u0430u043au043bu044eu0447u0430u044eu0449u0438u0439u0441u00a0 is that the original implementation of non-stationary random process, u043fu0440u0435u0434u0441u0442u0430u0432u043bu00a0u044eu0449u0443u044e su u043cu043cu0443 useful signal and noise received in the buffer blockprocessing in the block length of the interval which + 1 on the method of least squares, which are useful u0441u0438u0433u043du0430 start value evaluation la, with the iterative update, u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 so that processing u043eu0441u0443u0449u0435u0441u0442u0432u043bu00a0u0435u0442u0441u00a0 on u0441u043au043eu043bu044cu0437u00a0u0449u0435u043c framea subsequent u043fu0440u0438u0431u043bu0438u0436u0435u043du0438u00a0 useful signal in each position u0441u043au043eu043bu044cu0437u00a0u0449u0435u0433u043e interval u0444u043eu0440u043cu0438u0440u0443u044eu0442u0441u00a0 block sequential approximation by u0438u0442u0435u0440u0430u0442u0438u0432u043d wow u043fu0440u0438u043cu0435u043du0435u043du0438u00a0 method of least squares to estimate weights matrices obtained with the method of weighted u0432u0430u0440u0438u0430u0446u0438u043eu043du043du043e - shanks' square approximation until time nitsa between successive u043fu0440u0438u0431u043bu0438u0436u0435u043du0438u00a0u043cu0438,being the u0445u0440u0430u043du0435u043du0438u00a0 evaluations, is less than the threshold u0443u0440u043eu0432u043du00a0.
机译:粗略测量时,基于 u0432 u0430 u0440 u0438 u0430中发布的最低模块的方法,采用迭代方法 u0432 u044b u0434 u0435 u043b u0435 u043d u0438 u00a0趋势信号 u0446 u0438 u043e u043d u043d u043e- u0432 u0437 u0432 u0435 u0448 u0435 u043d u043d u043d u044b u0445柄的最小二乘平方近似法, u0437 u0430 u043a u043b u044e u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0的原始实现是非平稳随机过程 u043f u0440 u0435 u0434 u0441 u0442 u0430 u0430 u0432 u043b u00a0 u044e u0449 u0443 u044e su u043c u043c u0443在最小二乘法的块长度间隔为+ 1的块长度中,在缓冲区块处理中接收到的有用信号和噪声是有用的。 u0441 u0438 u0433 u043d u0430初始值评估la,具有迭代更新 u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0438 u0439 u0441 u00a0,以便处理 u043e u0441 u0443 u0449 u0435 u0441 u0442 u04 u0441 u043a u043e u043b u044c u0437 u00a0 u0449 u0435 u043c上的32 u043b u00a0 u0435 u0442 u0441 u0040后续的 u043f u0440 u0438 u0431 u043b u0438 u0435 u043d u0438 u00a0每个位置上的有用信号 u0441 u043a u043e u043b u044b u044c u0437 u00a0 u0449 u0435 u0433 u043e间隔 u0444 u043e u0440 u04340 u043c u0438 u0440 u04440 u044e u0442 u0441 u00a0通过 u0438 u0442 u0435 u0440 u0430 u0442 u0438 u0432 u043d wow的块顺序逼近 u043f u0440 u0438 u043c u043c u0435 u043d u0435 u043d u0d u00a0的最小二乘法估计使用加权 u0432 u0430 u0440 u0438 u0430 u0446 u0438 u043e u043d u043d u043d u043e方法获得的权重矩阵-小腿的平方近似直到连续 u043f 之间的时间nitsa u0440 u0438 u0431 u043b u0438 u0436 u0435 u043d u0438 u00a0 u043c u0438,即 u0445 u0440 u0430 u043d u0435 u043d u043d u0438 u00a0评估,小于阈值 u0443 u0440 u043e u0432 u043d u00a0。

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