公开(公告)号：WO2006096280A3

公开(公告)日：2007-06-21

申请号：PCT/US2006004693

申请日：2006-02-10

Applicant: MOTOROLA INC ,  ZHOU CHI ,  XIAO WEIMIN

Inventor： ZHOU CHI ,  XIAO WEIMIN

IPC: G06N3/12

CPC classification number: G06N3/126

Abstract: A Gene Expression Programming method evolves a population of chromosomes which are arrays of integer index references to genes including operand and operator genes. The mathematical expressions are encoded in the chromosomes according to linear Polish notation, according to which expression trees representing mathematical expression encoded in the chromosomes are developed in a depth-first manner from the sequence of genes in each chromosome. This type of Polish notation makes it more likely that sub-expressions that contribute to fitness will survive evolutionary operations which can be performed at a low computational cost on array chromosomes. Additionally subexpressions or the mathematical structure of subexpressions which are assumed to contribute significantly to fitness based on the frequency of their appearance in elite members are protected from alteration by evolutionary operations, by representing each such mathematical structure by a single derived gene while the evolutionary operations are performed.

Abstract translation: 基因表达编程方法将染色体群体演化为包括操作数和运营商基因在内的基因整数索引引用数组。 根据线性波兰符号，数学表达式在染色体中编码，根据其中表示在染色体中编码的数学表达式的表达树以每个染色体中的基因序列以深度优先的方式发展。 这种类型的波兰符号使得有助于适应度的子表达更有可能在演化操作中存活，这可以在阵列染色体上以低的计算成本执行。 另外，子表达式或子表达式的数学结构被假定为基于其在精英成员中的出现频率显着地对健康有贡献的子表达式通过进化操作来保护免受改变，通过用单个导出的基因表示每个这样的数学结构，而进化操作是 执行。

公开(公告)号：WO2005015347A3

公开(公告)日：2006-12-28

申请号：PCT/US2004021578

申请日：2004-07-06

Applicant: MOTOROLA INC ,  TIRPAK THOMAS M ,  GRAETTINGER JOHN S ,  KRAMER MICHAEL S ,  PETRAROLI VINCENT W ,  RODDA LINDA R ,  XIAO WEIMIN

Inventor： TIRPAK THOMAS M ,  GRAETTINGER JOHN S ,  KRAMER MICHAEL S ,  PETRAROLI VINCENT W ,  RODDA LINDA R ,  XIAO WEIMIN

IPC: G06F7/00 ,  G06F20060101 ,  G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30557

Abstract: A data management system (100) including a knowledge container creator module (118) operative to create at least a first data descriptor item (112) and at least a second data descriptor item (114) based upon a raw data item (110). The raw data item (110) is capable of containing data representing raw data that is in one of a plurality of different formats. The knowledge container creator module (118) also operative to link the raw data item (110) to at the least a first data descriptor item (112) and to link the raw data item (110) to the at least a second data descriptor item (114).

Abstract translation: 一种数据管理系统（100），包括知识容器创建器模块（118），用于基于原始数据项（110）创建至少第一数据描述符项（112）和至少第二数据描述符项（114）。 原始数据项（110）能够包含表示以多种不同格式之一的原始数据的数据。 知识容器创建器模块（118）还可操作以将原始数据项（110）链接到至少第一数据描述符项（112），并将原始数据项（110）链接到至少第二数据描述符项 （114）。

公开(公告)号：WO2006088569A2

公开(公告)日：2006-08-24

申请号：PCT/US2006000438

申请日：2006-01-05

Applicant: MOTOROLA INC ,  XIAO WEIMIN ,  MOHAMED MAGDI A

Inventor： XIAO WEIMIN ,  MOHAMED MAGDI A

IPC: G06F17/10

CPC classification number: H03H17/0261 ,  H03H17/0294

Abstract: A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is based on an extension of the well-known Sugeno ?-Measure. In order to optimize the Q-Filter kernel parameters, the value of an error function is minimized. The error function is based on difference between the filtered signal and target signal, with the target signal being a desired result of filtering.

Abstract translation: Q滤波器是一种可重构技术，可执行线性和非线性滤波操作的连续性。 它由独特的数学结构建模，利用称为Q-Measure的功能，使用一组可调内核参数定义，以实现各种有用的，新的和常规的过滤操作的高效硬件和软件实现。 Q-Measure基于着名的Sugeno？-Measure的扩展。 为了优化Q-Filter内核参数，误差函数的值被最小化。 误差函数基于滤波信号和目标信号之间的差异，目标信号是期望的滤波结果。

公开(公告)号：WO2005112486A2

公开(公告)日：2005-11-24

申请号：PCT/US2005013422

申请日：2005-04-19

Applicant: MOTOROLA INC ,  GHOSH AMITAVA ,  BROWN TYLER A ,  LOVE ROBERT T ,  RATASUK RAPEEPAT ,  XIAO WEIMIN

Inventor： GHOSH AMITAVA ,  BROWN TYLER A ,  LOVE ROBERT T ,  RATASUK RAPEEPAT ,  XIAO WEIMIN

IPC: H04L1/08 ,  H04L1/16 ,  H04W28/04 ,  H04W36/18 ,  H04W72/12 ,  H04Q7/20

CPC classification number: H04W72/12 ,  H04L1/08 ,  H04L1/16 ,  H04L1/1607 ,  H04W36/18

Abstract: To address the need to convey ACK/NACK information in a manner that conserves system and signaling resources, embodiments of the present invention employ a Node-B transmitting on two types of ACK/NACK broadcast channels (501, 502), one type for received uplink data that was scheduled by the Node B and the other type of broadcast channel for received uplink data that was not scheduled by the Node B. Other embodiments of the invention employ a Node-B transmitting on two types of broadcast channels, one type of broadcast channel for received uplink data that comes from non-SHO users and another type of broadcast channel for received uplink data that comes from non-scheduled users or comes from scheduled SHO users. In addition, ACK/NACK information is scheduled (800) into the available broadcast channel time slots in accordance with a transmission priority that is determined by a scheduler.

Abstract translation: 为了解决以节省系统和信令资源的方式传送ACK / NACK信息的需要，本发明的实施例采用在两种类型的ACK / NACK广播信道（501,502）上的节点B发送，一种类型用于接收 由节点B调度的上行链路数据和用于未被节点B调度的接收的上行链路数据的另一类型的广播信道。本发明的其他实施例采用在两种类型的广播信道上的节点B发送，一种类型 来自非SHO用户的接收到的上行链路数据的广播信道和来自非调度用户或来自预定SHO用户的接收到的上行链路数据的另一类型的广播信道。 此外，根据由调度器确定的传输优先级，将ACK / NACK信息调度（800）到可用的广播信道时隙中。

公开(公告)号：EP1506495A4

公开(公告)日：2009-07-22

申请号：EP03745125

申请日：2003-03-12

Applicant: MOTOROLA INC

Inventor： XIAO WEIMIN ,  TIRPAK THOMAS MICHAEL

IPC: G06N3/00 ,  G06F15/18 ,  G06N3/12

CPC classification number: G06N3/126

Abstract: A gene expression programming genetic algorithm for performing symbolic regression is provided. The algorithm avoids expression bloating and over fitting by employing a fitness function that depends inversely on the mathematical expression complexity. Members of a population that are evolved by the algorithm are represented as a set arrays of indexed that reference operands and operators, thus facilitating selection, mutation, and cross over operations conducted in the course of evolving the population. The algorithm comprises a syntax checking part [108, 110, 112] that may be applied to population members without their having to be converted to executable programs first. An object-oriented programming language data structure is providing for encapsulating basic data for each condon used by the algorithm.

公开(公告)号：EP1714411A4

公开(公告)日：2009-12-09

申请号：EP05705810

申请日：2005-01-14

Applicant: MOTOROLA INC

Inventor： RATASUK RAPEEPAT ,  FABIEN JEAN-AICARD ,  GHOSH AMITAVA ,  XIAO WEIMIN

IPC: H04B1/00 ,  H04B7/00 ,  H04B7/005 ,  H04H20/00 ,  H04J3/24 ,  H04J3/26 ,  H04W4/06 ,  H04W52/00 ,  H04W52/32

CPC classification number: H04W52/327 ,  H04W72/005

公开(公告)号：EP1769371A4

公开(公告)日：2007-08-15

申请号：EP05749682

申请日：2005-04-25

Applicant: MOTOROLA INC

Inventor： MOHAMED MAGDI A ,  XIAO WEIMIN

IPC: G06F15/00 ,  G06K9/36 ,  G06K9/62

CPC classification number: G06K9/36 ,  G06K9/6288 ,  H03H17/0261 ,  H03H2017/0072 ,  H03H2222/02

Abstract: A Q-Filter is a reconfigurable technique that performs a continuum of linear and nonlinear filtering operations. It is modeled by unique mathematical structure, utilizing a function called the Q-Measure, defined using a set of adjustable kernel parameters to enable efficient hardware and software implementations of a variety of useful, new and conventional, filtering operations. The Q-Measure is a novel is based on an extension of the well-known Sugeno Q-Measure.

Abstract translation: Q滤波器是一种可重构技术，可执行连续的线性和非线性滤波操作。 它采用独特的数学结构建模，利用称为Q-Measure的功能，使用一组可调节的内核参数进行定义，以实现各种有用的新型常规过滤操作的高效硬件和软件实现。 Q-Measure是一款基于知名Sugeno Q-Measure扩展的小说。

公开(公告)号：EP1800428A4

公开(公告)日：2010-01-27

申请号：EP05799724

申请日：2005-09-29

Applicant: MOTOROLA INC

Inventor： RATASUK RAPEEPAT ,  GHOSH AMITAVA ,  XIAO WEIMIN

IPC: H04L1/18 ,  H04L1/00

CPC classification number: H04L1/0069 ,  H04L1/0001 ,  H04L1/0003 ,  H04L1/0007 ,  H04L1/0009 ,  H04L1/1816 ,  H04L1/1819 ,  H04L1/1825