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In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
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Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
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The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
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Real-Time Lossless Compression Algorithm for Ultrasound Data Using BL Universal Code.

Jung Hoon Kim1, Sunmi Yeo2, Jong Won Kim3

  • 1Graduate School of Public Health, Seoul National University, Seoul 08826, Korea. powerzenith@naver.com.

Sensors (Basel, Switzerland)
|October 4, 2018
PubMed
Summary
This summary is machine-generated.

A new Binary cLuster (BL) code offers improved data compression for software-based ultrasound imaging systems. This lossless compression reduces data rates by 20-30% without needing extra memory.

Keywords:
lossless compressionmedical ultrasoundrun-length encodinguniversal code

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Area of Science:

  • Medical Imaging
  • Signal Processing
  • Computer Science

Background:

  • Software-based ultrasound systems offer algorithmic flexibility but face data transfer bottlenecks.
  • High data rates from transducers limit real-time performance in these systems.

Purpose of the Study:

  • To introduce a novel Binary cLuster (BL) code for efficient data compression in ultrasound imaging.
  • To address the data transfer bottleneck in software-based ultrasound systems.

Main Methods:

  • Development of a Binary cLuster (BL) code for data compression.
  • Evaluation of the BL-beta code using in vitro and in vivo ultrasound datasets.
  • Comparison of BL code compression ratio with exponential Golomb code.

Main Results:

  • The BL-beta code achieves a stable lossless compression performance of 20% to 30%.
  • The proposed method requires no auxiliary memory or storage for encoding/decoding.
  • The BL code demonstrates superior compression ratio compared to exponential Golomb code.

Conclusions:

  • The Binary cLuster (BL) code is an effective solution for reducing data transfer rates in software-based ultrasound imaging.
  • The universal and real-time encoding/decoding features make BL code suitable for real-time applications.
  • BL code enhances the feasibility of software-based ultrasound imaging by overcoming data transfer limitations.