• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. E
  4. Eun…
  5. Eun Heeseok
🔗 Permalink
Inventor profile of:

Heeseok Eun

City:

Seoul

Country:

South Korea

Published Applications:

7

Last publication date:

2009-09-17

Top Assignees for applications by Heeseok Eun

The entities that hold a legal rights for patent applications filed by inventor Eun Heeseok:

  • SAMSUNG ELECTRONICS CO., LTD. 5 Gyeonggi-Do, South Korea

Recent patent applications by Eun Heeseok

Heeseok Eun from Seoul, KR has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2009-09-17
US20090235128A1
Physics

Data detecting apparatus based on channel information and method thereof

#2 | 2009-07-30
US20090190397A1
Physics

Memory device and data reading method

#3 | 2009-05-07
US20090119569A1
Electricity

Encoding system and method for encoding error control codes within bit streams

#4 | 2009-04-30
US20090109748A1
Physics

Apparatus and method of multi-bit programming

#5 | 2009-04-23
US20090103359A1
Physics

Apparatus and method of multi-bit programming

#6 | 2009-04-09
US20090091990A1
Physics

Apparatus and method of multi-bit programming

#7 | 2009-02-19
US20090046510A1
Physics

Apparatus and method for multi-bit programming

InventorID:

3882746 ⎘

  1. Home
  2. Inventor
  3. E
  4. Eun…
  5. Eun Heeseok

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.