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1. 发明申请

US20130085716A1 Methods for estimating location using signal with varying signal speed 有权
公开(公告)号：US20130085716A1
公开(公告)日：2013-04-04
申请号：US13675268
申请日：2012-11-13
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G06F17/18
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.

2. 发明授权

US08639469B2 Methods and computerized machine for sequential bound estimation of target parameters in time-series data 有权
标题翻译：方法和计算机化机器，用于对时间序列数据中的目标参数进行连续约束估计
公开(公告)号：US08639469B2
公开(公告)日：2014-01-28
申请号：US13675268
申请日：2012-11-13
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G01C9/00
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Computerized sequential bounded estimation is performed on time-series data. Robust methods use bounds and probability distributions to estimate target parameters for time-dependent data, including but not limited to the location of objects or phenomena. Realistic prior probability distributions of pertinent variables are utilized, and time-dependent measurements and errors in measurements are received. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：对时间序列数据进行计算机化有序估计。稳健的方法使用边界和概率分布来估计时间相关数据的目标参数，包括但不限于对象或现象的位置。利用相关变量的现实先验概率分布，并接收时间依赖性测量和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

3. 发明申请

US20120004889A1 Methods for Estimating Location Using Signal with Varying Signal Speed 有权
标题翻译：使用不同信号速度的信号估计位置的方法
公开(公告)号：US20120004889A1
公开(公告)日：2012-01-05
申请号：US13220390
申请日：2011-08-29
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G06F17/18
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：开发鲁棒的方法来为对象的位置以及影响位置的准确性的相关变量提供界限和概率分布，例如站的位置，测量和信号传播速度的误差。允许有关变量的现实先验概率分布用于站的位置，信号传播速度和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

4. 发明授权

US07219032B2 Estimation algorithms and location techniques 有权
公开(公告)号：US07219032B2
公开(公告)日：2007-05-15
申请号：US10419712
申请日：2003-04-20
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G01C9/00
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.

5. 发明授权

US08311773B2 Methods and apparatus for computer-estimating a function of a probability distribution of a variable 有权
标题翻译：用于计算机估计变量概率分布函数的方法和装置
公开(公告)号：US08311773B2
公开(公告)日：2012-11-13
申请号：US13220390
申请日：2011-08-29
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G06F17/18
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：开发鲁棒的方法来为对象的位置以及影响位置的准确性的相关变量提供界限和概率分布，例如站的位置，测量和信号传播速度的误差。允许有关变量的现实先验概率分布用于站的位置，信号传播速度和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

6. 发明授权

US08010314B2 Methods for estimating location using signal with varying signal speed 有权
标题翻译：使用具有变化的信号速度的信号估计位置的方法
公开(公告)号：US08010314B2
公开(公告)日：2011-08-30
申请号：US12769450
申请日：2010-04-28
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G01C9/00
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：开发鲁棒的方法来为对象的位置以及影响位置的准确性的相关变量提供界限和概率分布，例如站的位置，测量和信号传播速度的误差。允许有关变量的现实先验概率分布用于站的位置，信号传播速度和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

7. 发明授权

US07363191B2 Estimation methods for wave speed 有权
标题翻译：波速估算方法
公开(公告)号：US07363191B2
公开(公告)日：2008-04-22
申请号：US11803235
申请日：2007-05-14
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G01P7/00
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：开发鲁棒的方法来为对象的位置以及影响位置的准确性的相关变量提供界限和概率分布，例如站的位置，测量和信号传播速度的误差。允许有关变量的现实先验概率分布用于站的位置，信号传播速度和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

8. 发明申请

US20100318318A1 Methods for Estimating Location Using Signal with Varying Signal Speed 有权
标题翻译：使用不同信号速度的信号估计位置的方法
公开(公告)号：US20100318318A1
公开(公告)日：2010-12-16
申请号：US12769450
申请日：2010-04-28
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G06F15/00 , G06F17/18
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：开发鲁棒的方法来为对象的位置以及影响位置的准确性的相关变量提供界限和概率分布，例如站的位置，测量和信号传播速度的误差。允许有关变量的现实先验概率分布用于站的位置，信号传播速度和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

9. 发明申请

US20090006030A1 Methods for estimating location using signal with varying signal speed 审中-公开
标题翻译：使用具有变化的信号速度的信号估计位置的方法
公开(公告)号：US20090006030A1
公开(公告)日：2009-01-01
申请号：US12104275
申请日：2008-04-16
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G06F17/18 , G06F15/00
CPC分类号： G06F17/18 , G01S5/02 , G01V1/28 , G01V2200/14
摘要： Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.
摘要翻译：开发鲁棒的方法来为对象的位置以及影响位置的准确性的相关变量提供界限和概率分布，例如站的位置，测量和信号传播速度的误差。允许有关变量的现实先验概率分布用于站的位置，信号传播速度和测量误差。可以获得边界和概率分布，而不做任何线性假设。用于位置的顺序方法适用于其中对于与测量相关的变量需要概率分布函数的其他应用。

10. 发明授权

US06304515B1 Matched-lag filter for detection and communication 失效
标题翻译：用于检测和通信的匹配滞后滤波器
公开(公告)号：US06304515B1
公开(公告)日：2001-10-16
申请号：US09453336
申请日：1999-12-02
申请人： John Louis Spiesberger
发明人： John Louis Spiesberger
IPC分类号： G01S380
CPC分类号： G01S3/8006
摘要： A detection problem is introduced for a source of some bandwidth and unknown waveform and emission time in the presence of noise of uncertain variance. The signal travels to the receivers along paths whose delays may be unknown. Using a new receiver called a “matched-lag filter,” the presence or absence of the signal is estimated from the auto- and cross-correlation functions of the received signals. The use of correlation functions provides the first stage of gain in signal-to-noise ratio, like a matched filter, because the paths are assumed to be partially coherent with one another. The second stage achieves additional gain by searching only over the physically possible arrangements of signals in the auto- and cross-correlation functions. These stages enable the matched-lag filter to behave like a matched filter within a matched filter. In a simple case, simulations of the matched-lag filter yield probabilities of detection that are, with one and two receivers, 4.5 to 290 times respectively that obtained from the alternative energy detector at a false-alarm probability of 0.001. The matched-lag filter has applications to communications and the detection of broadband signals such as from animals, vehicles, ships, nuclear blasts, and seismic events, and blind estimation of the impulse response of a multipath channel.
摘要翻译：在存在不确定方差的噪声的情况下，引入了一些带宽和未知波形和发射时间的源的检测问题。信号沿着其延迟可能未知的路径行进到接收机。使用称为“匹配滞后滤波器”的新接收机，根据接收信号的自相关和互相关函数来估计信号的存在或不存在。相关函数的使用提供了信噪比增益的第一阶段，如匹配滤波器，因为假设路径彼此部分相干。第二级通过仅搜索自动和互相关函数中的物理上可能的信号排列来实现附加增益。这些阶段使得匹配滞后滤波器在匹配滤波器内表现得像匹配滤波器。在简单的情况下，匹配滞后滤波器的仿真产生检测的概率，其中一个和两个接收机分别是以替代能量检测器以假警报概率为0.001获得的4.5到290次。匹配滞后滤波器适用于通信和检测诸如动物，车辆，船舶，核爆炸和地震事件之类的宽带信号，以及对多径信道的脉冲响应的盲目估计。

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