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Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

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Related Experiment Video

Updated: Jul 7, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Lapped multiple bases algorithms for still image compression without blocking effect.

V E Debrunner1, L Chen, H J Li

  • 1Sch. of Electr. Eng., Oklahoma Univ., Norman, OK.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

This study introduces advanced image compression techniques using multiple transform sets, achieving 20% greater efficiency than standard DCT methods. The new algorithms offer high compression ratios without visual artifacts, improving still image compression quality.

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Last Updated: Jul 7, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Area of Science:

  • Digital Signal Processing
  • Image Processing
  • Computer Vision

Background:

  • Traditional image compression methods, such as Discrete Cosine Transform (DCT), face limitations in achieving high compression ratios without introducing visual artifacts like blocking effects.
  • The need for efficient image compression is critical for applications with limited bandwidth or storage, driving research into novel transform-based algorithms.

Purpose of the Study:

  • To develop and evaluate a novel still image compression system utilizing multiple transform sets within a multiple bases realization algorithm.
  • To enhance compression efficiency beyond existing DCT-only methods.
  • To explore the efficacy of newly developed lapped orthogonal transform (LOT) bases for low bit rate image compression.

Main Methods:

  • Implementation of a multiple bases realization algorithm incorporating several transform sets.
  • Comparison of the proposed algorithm's performance against DCT-only compression in terms of encoded transform coefficients.
  • Integration and assessment of newly developed lapped orthogonal transform (LOT) bases within the compression framework.

Main Results:

  • The developed algorithms achieved a 20% reduction in encoded transform coefficients compared to DCT-only compression.
  • The extended algorithms using LOT bases demonstrated effective performance at low bit rates (high compression).
  • The use of LOT bases successfully mitigated the blocking effect, a common artifact in high compression scenarios.

Conclusions:

  • The multiple bases realization algorithm offers a significant improvement in still image compression efficiency.
  • The incorporation of LOT bases provides a viable solution for high compression operation without introducing blocking artifacts.
  • This research contributes advanced techniques for efficient and artifact-free image compression, particularly beneficial for low bit rate applications.