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公开(公告)号：US08386086B2
公开(公告)日：2013-02-26
申请号：US12767259
申请日：2010-04-26
申请人： Gaëlle Le Roux , Younes Souilmi , Scott W. Kurth , John M. Akred , Thorvald Hoyem , Sanjay Mathur
发明人： Gaëlle Le Roux , Younes Souilmi , Scott W. Kurth , John M. Akred , Thorvald Hoyem , Sanjay Mathur
IPC分类号： G06F1/28
CPC分类号： G06Q30/02 , G01D4/004 , G06Q10/06 , G06Q50/06 , Y02B90/242 , Y02B90/245 , Y02P90/82 , Y04S20/322 , Y04S20/40
摘要： Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer's propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider's ability to monitor, forecast, and plan for such changes.
摘要翻译： 与本发明一致的系统和方法允许从DR响应数据和影响者数据产生能量消耗指数。 能量消耗指数可以指示在接收DR信号之前消费者的能量消耗，消费者接收到DR信号后消费的变化以及消费者对DR信号的响应倾向。 符合本发明的系统和方法还允许能源供应商监测，预测和规划消费者对能源需求的变化。 各种能源计划工具可以促进能源供应商监测，预测和计划这些变化的能力。
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公开(公告)号：US20110264291A1
公开(公告)日：2011-10-27
申请号：US12767259
申请日：2010-04-26
申请人： Gaëlle Le Roux , Younes Souilmi , Scott W. Kurth , John M. Akred , Thorvald Hoyem , Sanjay Mathur
发明人： Gaëlle Le Roux , Younes Souilmi , Scott W. Kurth , John M. Akred , Thorvald Hoyem , Sanjay Mathur
IPC分类号： G06F1/28
CPC分类号： G06Q30/02 , G01D4/004 , G06Q10/06 , G06Q50/06 , Y02B90/242 , Y02B90/245 , Y02P90/82 , Y04S20/322 , Y04S20/40
摘要： Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer's propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider's ability to monitor, forecast, and plan for such changes.
摘要翻译： 与本发明一致的系统和方法允许从DR响应数据和影响者数据产生能量消耗指数。 能量消耗指数可以指示在接收DR信号之前消费者的能量消耗，消费者接收到DR信号后消费的变化以及消费者对DR信号的响应倾向。 符合本发明的系统和方法还允许能源供应商监测，预测和规划消费者对能源需求的变化。 各种能源计划工具可以促进能源供应商监测，预测和计划这些变化的能力。
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公开(公告)号：US20110046904A1
公开(公告)日：2011-02-24
申请号：US12847678
申请日：2010-07-30
申请人： Younes Souilmi
发明人： Younes Souilmi
CPC分类号： G01D4/004 , G01R22/10 , Y02B90/242 , Y02B90/245 , Y02B90/246 , Y04S20/322 , Y04S20/40 , Y04S20/42
摘要： A system and method for analyzing a customer load and/or generation profile in order to disaggregate the customer load and/or generation profile is provided. The analysis of the customer load and/or customer generation profile may thereby determine the one or more devices that are operating and that contribute to the customer load and/or generation profile. In this way, the system and method may automatically analyze the customer load and/or generation profile in order to determine the one or more devices that contribute to the load and/or generation profile.
摘要翻译： 提供了用于分析客户负载和/或生成简档以便分解客户负载和/或生成简档的系统和方法。 客户负载和/或客户生成简档的分析可以由此确定正在操作并有助于客户负载和/或生成简档的一个或多个设备。 以这种方式，系统和方法可以自动分析客户负载和/或生成简档，以便确定有助于负载和/或生成简档的一个或多个设备。
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公开(公告)号：US08155912B2
公开(公告)日：2012-04-10
申请号：US12595773
申请日：2008-04-14
申请人： Younes Souilmi
发明人： Younes Souilmi
IPC分类号： G06F19/00
CPC分类号： H04B17/21
摘要： The invention concerns a method for determining a calibration value indicating the extent of loss of calibration of a group of three or more sensors in a sensor network, the method involving receiving a plurality of data values captured over a period of time by each of the sensors, determining by a processing unit (404) at least one correlation value associated with each sensor, each correlation value corresponding to the correlation between the data values captured by the associated sensor and the data values captured by at least one other sensor; extracting by a high pass filter (410) a noise component of the correlation values and outputting the calibration value determined based on the difference between the noise component and a reference noise value.
摘要翻译： 本发明涉及一种用于确定指示传感器网络中的一组三个或更多个传感器的校准损失程度的校准值的方法，该方法涉及通过每个传感器接收在一段时间内捕获的多个数据值 由处理单元（404）确定与每个传感器相关联的至少一个相关值，每个相关值对应于由相关传感器捕获的数据值与由至少一个其它传感器捕获的数据值之间的相关性; 通过高通滤波器（410）提取相关值的噪声分量，并输出基于噪声分量和参考噪声值之间的差确定的校准值。
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公开(公告)号：US20100121602A1
公开(公告)日：2010-05-13
申请号：US12595773
申请日：2008-04-14
申请人： Younes Souilmi
发明人： Younes Souilmi
IPC分类号： G06F19/00
CPC分类号： H04B17/21
摘要： The invention concerns a method for determining a calibration value indicating the extent of loss of calibration of a group of three or more sensors in a sensor network, the method involving receiving a plurality of data values captured over a period of time by each of the sensors, determining by a processing unit (404) at least one correlation value associated with each sensor, each correlation value corresponding to the correlation between the data values captured by the associated sensor and the data values captured by at least one other sensor; (410) a noise component of the correlation values and outputting the calibration value determined based on the difference between the noise component and a reference noise value.
摘要翻译： 本发明涉及一种用于确定指示传感器网络中的一组三个或更多个传感器的校准损失程度的校准值的方法，该方法涉及通过每个传感器接收在一段时间内捕获的多个数据值 由处理单元（404）确定与每个传感器相关联的至少一个相关值，每个相关值对应于由相关传感器捕获的数据值与由至少一个其它传感器捕获的数据值之间的相关性; （410）相关值的噪声分量，并输出基于噪声分量和参考噪声值之间的差确定的校准值。
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6.发明授权Methods and apparatus for blind channel estimation based upon speech correlation structure 有权基于语音相关结构的盲信道估计方法与装置公开(公告)号：US06687672B2
公开(公告)日：2004-02-03
申请号：US10099428
申请日：2002-03-15
IPC分类号： G10L1508
CPC分类号： G10L21/0208
摘要： Methods and apparatus for blind channel estimation of a speech signal corrupted by a communication channel are provided. One method includes converting a noisy speech signal into either a cepstral representation or a log-spectral representation; estimating a correlation of the representation of the noisy speech signal; determining an average of the noisy speech signal; constructing and solving, subject to a minimization constraint, a system of linear equations utilizing a correlation structure of a clean speech training signal, the correlation of the representation of the noisy speech signal, and the average of the noisy speech signal; and selecting a sign of the solution of the system of linear equations to estimate an average clean speech signal in a processing window.
摘要翻译： 提供了由通信信道损坏的语音信号的盲信道估计的方法和装置。 一种方法包括将噪声语音信号转换成倒谱表示或对数谱表示; 估计噪声语音信号的表示的相关性; 确定噪声语音信号的平均值; 利用最小化约束，构建和求解利用清晰语音训练信号的相关结构，噪声语音信号的表示与噪声语音信号的平均值的相关性的线性方程组; 以及选择线性方程式的解的符号来估计处理窗口中的平均清洁语音信号。
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公开(公告)号：US08412491B2
公开(公告)日：2013-04-02
申请号：US12847678
申请日：2010-07-30
申请人： Younes Souilmi
发明人： Younes Souilmi
CPC分类号： G01D4/004 , G01R22/10 , Y02B90/242 , Y02B90/245 , Y02B90/246 , Y04S20/322 , Y04S20/40 , Y04S20/42
摘要： A system and method for analyzing a customer load and/or generation profile in order to disaggregate the customer load and/or generation profile is provided. The analysis of the customer load and/or customer generation profile may thereby determine the one or more devices that are operating and that contribute to the customer load and/or generation profile. In this way, the system and method may automatically analyze the customer load and/or generation profile in order to determine the one or more devices that contribute to the load and/or generation profile.
摘要翻译： 提供了用于分析客户负载和/或生成简档以便分解客户负载和/或生成简档的系统和方法。 客户负载和/或客户生成简档的分析可以由此确定正在操作并有助于客户负载和/或生成简档的一个或多个设备。 以这种方式，系统和方法可以自动分析客户负载和/或生成简档，以便确定有助于负载和/或生成简档的一个或多个设备。
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公开(公告)号：US07089182B2
公开(公告)日：2006-08-08
申请号：US10099305
申请日：2002-03-15
IPC分类号： G10L15/20
CPC分类号： G10L15/20 , G10L15/02 , G10L15/063 , G10L21/0216
摘要： A method for performing noise adaptation of a target speech signal input to a speech recognition system, where the target speech signal contains both additive and convolutional noises. The method includes estimating an additive noise bias and a convolutional noise bias; in the target speech signal; and jointly compensating the target speech signal for the additive and convolutional noise biases in a feature domain.
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