Abstract: The embodiments provide a multi-stage phase estimation method and apparatus. The apparatus i a multi-stage phase estimation configuration. Each stage of the phase estimation configuration includes metric computation modules. Each of the metric computation modules computing a distance metric and search phase angles according to an input signal and an initial search phase angle or a search phase angle of the former stage phase estimation configuration. The number of the metric computation modules is equal to that of the search phase angles of this stage. A selection module selects the search phase angle corresponding to the minimal distance metric as the phase estimation result output of this stage according to the computation results of all metric computation modules. The average time window length of the former stage phase estimation configuration is larger than that of the subsequent stage phase estimation configuration.

Abstract: The present invention provides a method and system for automatic objects classification. The method comprises: acquiring a set of objects; classifying the objects based on query log to generate a first classification result; classifying the objects based on ontological information to generate a second classification result; and semantically fusing the first and second classification results to generate a final classification result. According to the present invention, compared with the prior arts, by semantically fusing the query log-based classification result and the ontology-based classification result, the accuracy and user-friendness of the object classification can be improved.

Abstract: Method and system for web documents clustering are provided. The method for web documents clustering includes: inputting a plurality of web documents, collecting information of the links and the directory structure of the inputted web documents, extracting, according to the collected links and directory structure, a hierarchical structure for the plurality of web documents and generating and outputting, based on the extracted hierarchical structure, one or more clusters of the plurality of web documents.

Abstract: Method and system to utilize the set of navigation paths of web pages as the contextual information for subject relevant web page filtering with high accuracy are provided. The method comprises the steps of: obtaining all web pages in one or more web pages collections; collecting information of the links among the obtained web pages; extracting, based on the collected links, a set of navigation paths of each of the obtained web pages; and filtering the obtained web pages based on the extracted set of navigation paths to obtain desired web pages. In some embodiments, the extraction of the navigation paths is preferably performed on the navigation links of the web pages. Therefore, the method also comprises the process for deleting non-navigation links from all the links of the web pages.

Abstract: The present invention relates to filter, coherent receiver device and coherent receiving method. The filter is used for converting a partial response signal into a full response signal, wherein the filter uses the following transfer function HPre-Filter(z) with respect to a partial response signal having a transfer function H PR ? ( z ) = A ? ( 1 + z - 1 ) m ? ( 1 - z - 1 ) n : ? ? H Pre - Filter ? ( z ) = 1 A ? ( 1 + ? ? ? z - 1 ) m ? ( 1 - ? ? ? z - 1 ) n , in which A is other item, m and n are integers larger than or equal to 0 but not being 0 at the same time, 0<?<1.

Abstract: The present invention provides a method and system for automatic objects classification. The method comprises: acquiring a set of objects; classifying the objects based on query log to generate a first classification result; classifying the objects based on ontological information to generate a second classification result; and semantically fusing the first and second classification results to generate a final classification result. According to the present invention, compared with the prior arts, by semantically fusing the query log-based classification result and the ontology-based classification result, the accuracy and user-friendness of the object classification can be improved.

Abstract: The present invention provides methods and systems for building object hierarchy. The method includes: obtaining a set of web pages from a website; conducting an inter-page analysis on the obtained web pages to extract a hierarchy of the web pages; conducting an intra-page analysis on each of the obtained web pages to identify the semantic blocks within the web page and extract a hierarchy of the semantic blocks for all the web pages; and fusing the hierarchy of the semantic blocks with the hierarchy of the web pages to generate a coordinated hierarchy. In one embodiment, the nodes on the generated coordinated hierarchy are then mapped into corresponding objects to generate the coordinated object hierarchy. Compared with the prior arts, the object hierarchy building systems and methods according to the present invention can build the object hierarchy in a more accurate and efficient way by fusing the inter-page analysis result and the intra-page analysis result.

Abstract: Method and System for calculating competitiveness metric between objects are provided. The method comprises the steps of: obtaining a first object and a second object; selecting, from all the relation instances stored in a relation instance repository, associated relation instances related to the first and second objects; and calculating, based on the selected associated relation instances, an extensional competitiveness metric Sout between the first and second objects as the competitiveness metric between the first and second objects. In an embodiment, the frequency that the associated relation instances related to the first and second objects appear in all the information source documents can be used for characterizing the extensional competitiveness metric. Furthermore, the present invention also provides an integrated competitiveness metric calculation method and system for combining the intensional and extensional competitiveness analysis results.

Abstract: Method and system to utilize the set of navigation paths of web pages as the contextual information for subject relevant web page filtering with high accuracy are provided. The method comprises the steps of: obtaining all web pages in one or more web pages collections; collecting information of the links among the obtained web pages; extracting, based on the collected links, a set of navigation paths of each of the obtained web pages; and filtering the obtained web pages based on the extracted set of navigation paths to obtain desired web pages. In some embodiments, the extraction of the navigation paths is preferably performed on the navigation links of the web pages. Therefore, the method also comprises the process for deleting non-navigation links from all the links of the web pages.

Abstract: Method and System for calculating competitiveness metric between objects are provided. The method comprises the steps of: obtaining a first object and a second object, the first and second objects having a first profile and a second profile, each composed of a plurality of attributes, respectively; normalizing the first profile and the second profile with reference to ontology information; and calculating, based on the normalized first and second profiles, a competitiveness metric between the first and second objects. In one embodiment, the ontology information is a common attribute name vocabulary, and the step of normalizing is configured for adjusting the structures of the first and second profiles to a unified profile structure, computing the sub-metrics between the corresponding attributes in the unified profile, and computing the weighed sum of the sub-metrics as the final competitiveness metric of the first and second objects.

Abstract: Method and System for web documents clustering are provided. The method for web documents clustering comprises the steps of: inputting a plurality of web documents; collecting information of the links and the directory structure of the inputted web documents; extracting, according to the collected links and directory structure, a hierarchical structure for the plurality of web documents; and generating and outputting, based on the extracted hierarchical structure, one or more clusters of the plurality of web documents. In some embodiments, the hierarchical relations of the generated clusters can also be outputted at the same time. Compared with the prior art, the method and system for web documents clustering according to the present invention can improve substantially the accuracy and efficiency of the web documents clustering.