Patents by Inventor Kai-Ten Feng
Kai-Ten Feng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 7957750Abstract: A location estimation method is provided. The method locates coordinates of a mobile station (MS) by referencing a plurality of base stations (BS). A geometric distribution of the BS is analyzed to provide a list of conditional equations. A virtual BS is allocated, having a virtual distance to the MS to provide a constraint equation. The MS location is derived from the conditional equations and the constraint equation.Type: GrantFiled: March 22, 2010Date of Patent: June 7, 2011Assignee: Mediatek Inc.Inventors: Chao-Lin Chen, Kai-Ten Feng
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Publication number: 20100173648Abstract: A location estimation method is provided. The method locates coordinates of a mobile station (MS) by referencing a plurality of base stations (BS). A geometric distribution of the BS is analyzed to provide a list of conditional equations. A virtual BS is allocated, having a virtual distance to the MS to provide a constraint equation. The MS location is derived from the conditional equations and the constraint equation.Type: ApplicationFiled: March 22, 2010Publication date: July 8, 2010Applicant: MEDIATEK INC.Inventors: Chao-Lin Chen, Kai-Ten Feng
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Patent number: 7715852Abstract: A location estimation method is provided. The method locates coordinates of a mobile station (MS) by referencing a plurality of base stations (BS). A geometric distribution of the BS is analyzed to provide a list of conditional equations. A virtual BS is allocated, having a virtual distance to the MS to provide a constraint equation. The MS location is derived from the conditional equations and the constraint equation.Type: GrantFiled: January 4, 2007Date of Patent: May 11, 2010Assignee: Mediatek Inc.Inventors: Chao-Lin Chen, Kai-Ten Feng
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Patent number: 7706470Abstract: A Global Positioning System (GPS) acquisition method is provided. A GPS signal is first received, comprising a plurality of data bits, each repeating for a bit period. A search space is then formed, comprising a plurality of elements each associated with a presumed offset and a presumed code phase. Before bit-transition of each bit period, element values of the elements are accumulated by substituting the data bits into a coherent-combination algorithm. After bit-transition of each bit period, the element values are accumulated by substituting the data bits into a differential-coherent combination algorithm.Type: GrantFiled: January 4, 2007Date of Patent: April 27, 2010Assignee: Mediatek Inc.Inventors: Ming-Yu Chuang, Kai-Ten Feng
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Patent number: 7373297Abstract: An automated speech recognition filter is disclosed. The automated speech recognition filter device provides a speech signal to an automated speech platform that approximates an original speech signal as spoken into a transceiver by a user. In providing the speech signal, the automated speech recognition filter determines various models representative of a cumulative signal degradation of the original speech signal from various devices along a transmission signal path and a reception signal path between the transceiver and a device housing the filter. The automated speech platform can thereby provide an audio signal corresponding to a context of the original speech signal.Type: GrantFiled: February 6, 2004Date of Patent: May 13, 2008Assignee: General Motors CorporationInventors: Stephen C. Habermas, Ognjen Todic, Kai-Ten Feng, Jane F. MacFarlane
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Publication number: 20070242776Abstract: A Global Positioning System (GPS) acquisition method is provided. A GPS signal is first received, comprising a plurality of data bits, each repeating for a bit period. A search space is then formed, comprising a plurality of elements each associated with a presumed offset and a presumed code phase. Before bit-transition of each bit period, element values of the elements are accumulated by substituting the data bits into a coherent-combination algorithm. After bit-transition of each bit period, the element values are accumulated by substituting the data bits into a differential-coherent combination algorithm.Type: ApplicationFiled: January 4, 2007Publication date: October 18, 2007Applicant: MEDIATEK INC.Inventors: Ming-Yu Chuang, Kai-Ten Feng
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Patent number: 7257412Abstract: Methods and systems for location estimation. Signals are received from a plurality of satellites and a plurality of base stations by a mobile station. The location of the mobile station is estimated according to TOA (Time-Of-Arrival) and TDOA (Time Difference-Of-Arrival) measurements calculated based on the signals.Type: GrantFiled: April 25, 2005Date of Patent: August 14, 2007Assignee: Mediatek Inc.Inventors: Chao-Lin Chen, Kai-Ten Feng
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Publication number: 20070161381Abstract: A location estimation method is provided. The method locates coordinates of a mobile station (MS) by referencing a plurality of base stations (BS). A geometric distribution of the BS is analyzed to provide a list of conditional equations. A virtual BS is allocated, having a virtual distance to the MS to provide a constraint equation. The MS location is derived from the conditional equations and the constraint equation.Type: ApplicationFiled: January 4, 2007Publication date: July 12, 2007Applicant: MEDIATEK INC.Inventors: Chao-Lin Chen, Kai-Ten Feng
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Publication number: 20060240839Abstract: Methods and systems for location estimation. Signals are received from a plurality of satellites and a plurality of base stations by a mobile station. The location of the mobile station is estimated according to TOA (Time-Of-Arrival) and TDOA (Time Difference-Of-Arrival) measurements calculated based on the signals.Type: ApplicationFiled: April 25, 2005Publication date: October 26, 2006Inventors: Chao-Lin Chen, Kai-Ten Feng
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Patent number: 7003458Abstract: An automated voice pattern filtering method implemented in a system having a client side and a server side is disclosed. At the client side, a speech signal is transformed into a first set of spectral parameters which are encoded into a set of spectral shapes that are compared to a second set of spectral parameters corresponding to one or more keywords. From the comparison, the client side determines if the speech signal is acceptable. If so, spectral information indicating a difference in a voice pattern between the speech signal and the keyword(s) is encoded and utilized as a basis to generate a voice pattern filter.Type: GrantFiled: January 15, 2002Date of Patent: February 21, 2006Assignee: General Motors CorporationInventors: Kai-Ten Feng, Jane F. MacFarlane, Stephen C. Habermas
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Publication number: 20040158467Abstract: An automated speech recognition filter is disclosed. The automated speech recognition filter device provides a speech signal to an automated speech platform that approximates an original speech signal as spoken into a transceiver by a user. In providing the speech signal, the automated speech recognition filter determines various models representative of a cumulative signal degradation of the original speech signal from various devices along a transmission signal path and a reception signal path between the transceiver and a device housing the filter. The automated speech platform can thereby provide an audio signal corresponding to a context of the original speech signal.Type: ApplicationFiled: February 6, 2004Publication date: August 12, 2004Inventors: Stephen C. Habermas, Ognjen Todic, Kai-Ten Feng, Jane F. MacFarlane
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Patent number: 6772118Abstract: An automated speech recognition filter is disclosed. The automated speech recognition filter device provides a speech signal to an automated speech platform that approximates an original speech signal as spoken into a transceiver by a user. In providing the speech signal, the automated speech recognition filter determines various models representative of a cumulative signal degradation of the original speech signal from various devices along a transmission signal path and a reception signal path between the transceiver and a device housing the filter. The automated speech platform can thereby provide an audio signal corresponding to a context of the original speech signal.Type: GrantFiled: January 4, 2002Date of Patent: August 3, 2004Assignee: General Motors CorporationInventors: Stephen C. Habermas, Ognjen Todic, Kai-Ten Feng, Jane F. MacFarlane
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Publication number: 20030135362Abstract: An automated voice pattern filtering method implemented in a system having a client side and a server side is disclosed. At the client side, a speech signal is transformed into a first set of spectral parameters which are encoded into a set of spectral shapes that are compared to a second set of spectral parameters corresponding to one or more keywords. From the comparison, the client side determines if the speech signal is acceptable. If so, spectral information indicating a difference in a voice pattern between the speech signal and the keyword(s) is encoded and utilized as a basis to generate a voice pattern filter.Type: ApplicationFiled: January 15, 2002Publication date: July 17, 2003Applicant: General Motors CorporationInventors: Kai-Ten Feng, Jane F. MacFarlane, Stephen C. Habermas
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Publication number: 20030130842Abstract: An automated speech recognition filter is disclosed. The automated speech recognition filter device provides a speech signal to an automated speech platform that approximates an original speech signal as spoken into a transceiver by a user. In providing the speech signal, the automated speech recognition filter determines various models representative of a cumulative signal degradation of the original speech signal from various devices along a transmission signal path and a reception signal path between the transceiver and a device housing the filter. The automated speech platform can thereby provide an audio signal corresponding to a context of the original speech signal.Type: ApplicationFiled: January 4, 2002Publication date: July 10, 2003Inventors: Stephen C. Habermas, Ognjen Todic, Kai-Ten Feng, Jane F. MacFarlane