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    • 2. 发明申请
    • AUTOMATIC FREQUENCY CONTROL FOR A WIRELESS COMMUNICATION SYSTEM WITH MULTIPLE SUBCARRIERS
    • 具有多个SUBCARRIER的无线通信系统的自动频率控制
    • WO2006099532A2
    • 2006-09-21
    • PCT/US2006009475
    • 2006-03-13
    • QUALCOMM INCMURTHY VINAYGUPTA ALOKCHUNG SEONG TAEKLING FUYUN
    • MURTHY VINAYGUPTA ALOKCHUNG SEONG TAEKLING FUYUN
    • H03J7/04
    • G06F1/0353H04L5/0007H04L5/0048H04L27/2659H04L27/266H04L27/2662H04L27/2675H04L27/2678
    • Techniques for performing frequency control in an OFDM system are described. In one aspect, frequency acquisition is performed based on a received pilot, and frequency tracking is performed based on received OFDM symbols. For frequency acquisition, an initial frequency error estimate may be derived based on the received pilot, and an automatic frequency control (AFC) loop may be initialized with the initial frequency error estimate. For frequency tracking, a frequency error estimate may be derived for each received OFDM symbol, and the AFC loop may be updated with the frequency error estimate. Frequency error in input samples is corrected by the AFC loop with the initial frequency error estimate as well as the frequency error estimate for each received OFDM symbol. In another aspect, a variable number of samples of a received OFDM symbol are selected, e.g., based on the received OFDM symbol timing, for use for frequency error estimation.
    • 描述在OFDM系统中执行频率控制的技术。 在一个方面,基于接收到的导频执行频率采集,并且基于接收的OFDM符号执行频率跟踪。 对于频率获取,可以基于接收到的导频来导出初始频率误差估计,并且可以利用初始频率误差估计来初始化自动频率控制(AFC)循环。 对于频率跟踪,可以针对每个接收的OFDM符号导出频率误差估计,并且可以用频率误差估计来更新AFC循环。 通过具有初始频率误差估计的AFC回路以及每个接收的OFDM符号的频率误差估计来校正输入采样中的频率误差。 在另一方面,例如基于所接收的OFDM符号定时来选择接收的OFDM符号的可变数目的样本,以用于频率误差估计。
    • 6. 发明申请
    • SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR HEART RELATED DISEASES AND CONDITIONS
    • 自动诊断和心理支持的系统与方法相关疾病和病症
    • WO2005081168A3
    • 2005-12-01
    • PCT/US2004040757
    • 2004-12-06
    • SIEMENS MEDICAL SOLUTIONSSIEMENS CORP RES INCKRISHNAN SRIRAMGUPTA ALOKRAO R BHARATCOMANICIU DORINZHOU XIANG SEAN
    • KRISHNAN SRIRAMGUPTA ALOKRAO R BHARATCOMANICIU DORINZHOU XIANG SEAN
    • A61B5/05G06F17/00G06F19/00
    • G16H50/20
    • CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to "learn" to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.
    • 提供了用于心脏成像的CAD(计算机辅助诊断)系统和应用,其实现了从受试患者的患者信息(包括图像数据和/或非图像数据)的集合中自动提取和分析特征的方法,以提供 对医师工作流程的各个方面的决策支持,包括例如通过壁运动分析自动评估区域心肌功能,心脏疾病的自动诊断和诸如心肌病,冠状动脉疾病和其他与心脏相关的医疗状况等条件,以及其他自动化决策 支持功能。 CAD系统实施机器学习技术,其使用从一个或多个相关临床领域的标记的患者病例的数据库获得(学习)的一组训练数据和/或对这些数据的专家解释,使得CAD系统能够“学习” 分析患者数据,进行适当的诊断评估和决策,以协助医师的工作流程。