Tak H Lee

US Patent:

7516390, Apr 7, 2009

Filed:

Nov 2, 2005

Appl. No.:

11/264998

Inventors:

Christopher J. Hansen - Sunnyvale CA, US
Joseph Paul Lauer - North Reading MA, US
Kelly Brian Cameron - Irvine CA, US
Tak K. Lee - Irvine CA, US
Hau Thien Tran - Irvine CA, US

Assignee:

Broadcom Corporation - Irvine CA

International Classification:

H03M 13/00

US Classification:

714755, 714786, 714784, 714756

Abstract:

LDPC (Low Density Parity Check) coding and interleaving implemented in multiple-input-multiple-output (MIMO) communication systems. As described herein, a wide variety of irregular LDPC codes may be generated using GRS or RS codes. A variety of communication device types are also presented that may employ the error correcting coding (ECC) using a GRS-based irregular LDPC code, along with appropriately selected interleaving, to provide for communications using ECC. These communication devices may be implemented to in wireless communication systems including those that comply with the recommendation practices and standards being developed by the IEEE 802. 11n Task Group (i. e. , the Task Group that is working to develop a standard for 802. 11 TGn (High Throughput)).

US Patent:

7716564, May 11, 2010

Filed:

Sep 25, 2007

Appl. No.:

11/860679

Inventors:

Johnson Yen - Fremont CA, US
Tak K. Lee - Irvine CA, US

Assignee:

Broadcom Corporation - Irvine CA

International Classification:

H03M 13/03

US Classification:

714794, 714795, 714796, 375341, 375262

Abstract:

Register exchange network for radix-4 SOVA (Soft-Output Viterbi Algorithm). Two trellis stages are processed simultaneously and in parallel with one another (e. g. , during a single clock cycle) thereby significantly increasing data throughput. Any one or more modules within an REX (Register Exchange) module are implemented using a radix-4 architecture to increase data throughput. Any one or more of a SMU (Survivor Memory Unit), a PED (Path Equivalency Detector), and a RMU (Reliability Measure Unit) are implemented in accordance with the principles of radix-4 decoding processing.

US Patent:

8407556, Mar 26, 2013

Filed:

Mar 28, 2009

Appl. No.:

12/413552

Inventors:

Christopher J. Hansen - Sunnyvale CA, US
Joseph Paul Lauer - Mountain View CA, US
Kelly Brian Cameron - Irvine CA, US
Tak K. Lee - Irvine CA, US
Hau Thien Tran - Irvine CA, US

Assignee:

Broadcom Corporation - Irvine CA

International Classification:

H03M 13/00

US Classification:

714755, 714786, 714784, 714756

Abstract:

LDPC (Low Density Parity Check) coding and interleaving implemented in multiple-input-multiple-output (MIMO) communication systems. As described herein, a wide variety of irregular LDPC codes may be generated using GRS or RS codes. A variety of communication device types are also presented that may employ the error correcting coding (ECC) using a GRS-based irregular LDPC code, along with appropriately selected interleaving, to provide for communications using ECC. These communication devices may be implemented to in wireless communication systems including those that comply with the recommendation practices and standards being developed by the IEEE 802. 11Task Group (i. e. , the Task Group that is working to develop a standard for 802. 11 TGn (High Throughput)).

US Patent:

20220237228, Jul 28, 2022

Filed:

Jan 28, 2021

Appl. No.:

17/161406

Inventors:

- San Jose CA, US
Eunyee Koh - San Jose CA, US
Fan Du - Milpitas CA, US
Tak Yeon Lee - San Jose CA, US
Sana Malik Lee - Brea CA, US
Ryan Rossi - Santa Clara CA, US

International Classification:

G06F 16/738
G06F 16/901
G06F 16/9032
G06F 16/34
G06F 16/783

Abstract:

This disclosure describes one or more embodiments of systems, non-transitory computer-readable media, and methods that intelligently and automatically analyze input data and generate visual data stories depicting graphical visualizations from data insights determined from the input data. For example, the disclosed systems automatically extract data insights utilizing an in-depth statistical analysis of dataset groups from data-attribute categories within the input data. Based on the data insights, the disclosed systems can automatically generate exportable visual data stories to visualize the data insights, provide textual or audio-based natural language summaries of the data insights, and animate such data insights in videos. In some embodiments, the disclosed systems generate a visual-data-story graph comprising nodes representing visual data stories and edges representing similarities between the visual data stories. Based on the visual-data-story graph, the disclosed systems can select a relevant visual data story to display on a graphical user interface.

US Patent:

20230130778, Apr 27, 2023

Filed:

Dec 21, 2022

Appl. No.:

18/069561

Inventors:

- San Jose CA, US
Eunyee Koh - San Jose CA, US
Fan Du - Milpitas CA, US
Tak Yeon Lee - San Jose CA, US
Sana Malik Lee - Brea CA, US
Ryan Rossi - Santa Clara CA, US

International Classification:

G06F 16/738
G06F 16/901
G06F 16/783
G06F 16/34
G06F 16/9032
G06F 16/44

Abstract:

This disclosure describes one or more embodiments of systems, non-transitory computer-readable media, and methods that intelligently and automatically analyze input data and generate visual data stories depicting graphical visualizations from data insights determined from the input data. For example, the disclosed systems automatically extract data insights utilizing an in-depth statistical analysis of dataset groups from data-attribute categories within the input data. Based on the data insights, the disclosed systems can automatically generate exportable visual data stories to visualize the data insights, provide textual or audio-based natural language summaries of the data insights, and animate such data insights in videos. In some embodiments, the disclosed systems generate a visual-data-story graph comprising nodes representing visual data stories and edges representing similarities between the visual data stories. Based on the visual-data-story graph, the disclosed systems can select a relevant visual data story to display on a graphical user interface.

US Patent:

20210264244, Aug 26, 2021

Filed:

Feb 20, 2020

Appl. No.:

16/796681

Inventors:

- San Jose CA, US
Tak Yeon Lee - San Jose CA, US
Sungchul Kim - San Jose CA, US
Ryan Rossi - Mountain View CA, US
Handong Zhao - San Jose CA, US

International Classification:

G06N 3/08
G06F 16/22
G06F 16/901
G06F 16/248
G06F 16/2457
G06N 5/02

Abstract:

Systems, methods, and non-transitory computer-readable media are disclosed for generating generate explanatory paths for column annotations determined using a knowledge graph and a deep representation learning model. For instance, the disclosed systems can utilize a knowledge graph to generate an explanatory path for a column label determination from a deep representation learning model. For example, the disclosed systems can identify a column and determine a label for the column using a knowledge graph (e.g., a representation of a knowledge graph) that includes encodings of columns, column features, relational edges, and candidate labels. Then, the disclosed systems can determine a set of candidate paths between the column and the determined label for the column within the knowledge graph. Moreover, the disclosed systems can generate an explanatory path by ranking and selecting paths from the set of candidate paths using a greedy ranking and/or diversified ranking approach.