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1. 发明申请

WO1997036227A2 METHOD AND COMPUTER SYSTEM FOR PROCESSING A SET OF DATA ELEMENTS ON A SEQUENTIAL PROCESSOR 审中-公开
标题翻译：用于在序列处理器处理一组数据元素的方法和计算机系统
公开(公告)号：WO1997036227A2
公开(公告)日：1997-10-02
申请号：PCT/IB1997000250
申请日：1997-03-13
申请人： PHILIPS ELECTRONICS N.V. , PHILIPS PATENTVERWALTUNG GMBH , PHILIPS NORDEN AB
发明人： PHILIPS ELECTRONICS N.V. , PHILIPS PATENTVERWALTUNG GMBH , PHILIPS NORDEN AB , SEIDE, Frank
IPC分类号： G06F07/00
CPC分类号： G06F9/30036 , G06F7/48 , G06F2207/3828
摘要： The method and system are used to process a set of data elements, such as components of vectors used in pattern recognition, in parallel on a conventional sequential processor (30). A group of data elements is loaded into a data register of the processor (30) as a compound data element. The data register is operated on using a conventional processor instruction, such as an addition, substraction or multiplication. The compound data element comprises an arrangement of at least two blocks, with each block comprising at the low order bit positions a data element and at the high order bit position(s) at least one separation bit. The separation bits are assigned predetermined bit values ensuring that during a processor operation the desired parallel result is formed.
摘要翻译：方法和系统用于在传统的顺序处理器（30）上并行处理一组数据元素，例如在模式识别中使用的向量的分量。将一组数据元素作为复合数据元素加载到处理器（30）的数据寄存器中。数据寄存器使用常规处理器指令进行操作，例如加法，减法或乘法。复合数据元素包括至少两个块的布置，其中每个块在低位比特位置包括数据元素，并且在高位比特位置包括至少一个分离比特。分配位被分配预定的位值，确保在处理器操作期间形成期望的并行结果。

2. 发明申请

WO1997008686A2 METHOD AND SYSTEM FOR PATTERN RECOGNITION BASED ON TREE ORGANISED PROBABILITY DENSITIES 审中-公开
标题翻译：基于树组织概率密度的图案识别方法与系统
公开(公告)号：WO1997008686A2
公开(公告)日：1997-03-06
申请号：PCT/IB1996000860
申请日：1996-08-26
申请人： PHILIPS ELECTRONICS N.V. , PHILIPS NORDEN AB , PHILIPS PATENTVERWALTUNG GMBH
发明人： PHILIPS ELECTRONICS N.V. , PHILIPS NORDEN AB , PHILIPS PATENTVERWALTUNG GMBH , SEIDE, Frank
IPC分类号： G10L05/06
CPC分类号： G10L15/14 , G10L15/142
摘要： The method and system are used for recognising a time-sequential input pattern (20), which is derived from a continual physical quantity, such as speech. The system comprises input means (30), which accesses the physical quantity and therefrom generates a sequence of input observation vectors. The input observation vectors represent the input pattern. A reference pattern database (40) is used for storing reference patterns, which consist of a sequence of reference units. Each reference unit is represented by associated reference probability densities. A tree builder (60) represents for each reference unit the set of associated reference probability densities as a tree structure. Each leaf node of the tree corresponds to a reference probability density. Each non-leaf node corresponds to a cluster probability density, which is derived from all reference probability densities corresponding to leaf nodes in branches below the non-leaf node. A localizer (50) is used for locating among the reference patterns stored in the reference pattern database (40) a recognised reference pattern, which corresponds to the input pattern.
摘要翻译：该方法和系统用于识别从诸如语音的连续物理量导出的时间顺序输入模式（20）。该系统包括输入装置（30），其访问物理量并由此产生一系列输入观察向量。输入观测向量表示输入模式。参考图案数据库（40）用于存储由参考单元序列组成的参考图案。每个参考单元由相关参考概率密度表示。树构建器（60）将每个参考单元的相关参考概率密度集合表示为树结构。树的每个叶节点对应于参考概率密度。每个非叶节点对应于簇概率密度，其从对应于非叶节点下方的分支中的叶节点的所有参考概率密度导出。定位器（50）用于在存储在参考图案数据库（40）中的参考图案之间定位与输入图案对应的识别的参考图案。

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