Patents by Inventor Heung Ho Lee

Heung Ho Lee 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).

  • Patent number: 11943090
    Abstract: An apparatus and method for multiplexing signals using layered division multiplexing are disclosed. A signal multiplexing apparatus according to an embodiment of the present invention includes a combiner configured to combine a core layer signal and an enhanced layer signal at different power levels, and a time interleaver configured to perform interleaving applied to both the core layer signal and the enhanced layer signal.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: March 26, 2024
    Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Sung-Ik Park, Jae-Young Lee, Sun-Hyoung Kwon, Heung-Mook Kim, Nam-Ho Hur
  • Patent number: 11923872
    Abstract: A bit interleaver, a bit-interleaved coded modulation (BICM) device and a bit interleaving method are disclosed herein. The bit interleaver includes a first memory, a processor, and a second memory. The first memory stores a low-density parity check (LDPC) codeword having a length of 64800 and a code rate of 7/15. The processor generates an interleaved codeword by interleaving the LDPC codeword on a bit group basis. The size of the bit group corresponds to a parallel factor of the LDPC codeword. The second memory provides the interleaved codeword to a modulator for quadrature phase shift keying (QPSK) modulation.
    Type: Grant
    Filed: April 28, 2023
    Date of Patent: March 5, 2024
    Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Sung-Ik Park, Sun-Hyoung Kwon, Jae-Young Lee, Heung-Mook Kim, Nam-Ho Hur
  • Patent number: 5887078
    Abstract: The present invention provides an apparatus and a method for classifying and recognizing image patterns using a second-order neural network, thereby achieving high-rate parallel processing while lowering the complexity. The second-order neural network, which is made of adders and multipliers, corrects positional translations generated in a complex-log mapping unit to output the same result for the same object irrespective of the scale and/or rotation of the object. The present invention enables high-rate image pattern classification and recognition based on parallel processing, which is the advantage obtained in neural network models, because consistent neural networks and consistent network structure computation models are applied to all steps from the image input step to the pattern classifying and recognizing step.
    Type: Grant
    Filed: June 6, 1996
    Date of Patent: March 23, 1999
    Assignee: Korea Telecommunication Authority
    Inventors: Hee Yong Kwon, Dae Hwan Kim, Byeong Cheol Kim, Hee Yeung Hwang, Dong Sub Cho, Heung Ho Lee