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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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Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos.

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    Uncoded linear-transformed transmission (ULT) offers smooth quality decline in wireless visual communication. Exploiting transformed signal energy diversity and accurate modeling significantly enhances image reconstruction quality and reduces overhead.

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    Area of Science:

    • Wireless communication
    • Image processing
    • Signal processing

    Background:

    • Conventional coded systems exhibit a 'cliff effect' with dynamic channel conditions.
    • Uncoded linear-transformed transmission (ULT) offers graceful quality degradation across varying signal-to-noise ratios (SNR).
    • ULT avoids non-linear operations like quantization and entropy coding, using linear transforms and power allocation instead.

    Purpose of the Study:

    • To provide a theoretical analysis of power-distortion optimization for ULT.
    • To investigate the role of energy diversity in transformed signals for ULT performance.
    • To propose practical energy modeling schemes for ULT of visual signals.

    Main Methods:

    • Theoretical analysis of power-distortion optimization for ULT.
    • Investigation of ULT efficiency with exact and inexact signal statistics.
    • Development and experimental validation of two novel energy modeling schemes for visual signal ULT.

    Main Results:

    • Exploiting energy diversity in transformed signals is crucial for maximizing decorrelation transform benefits in ULT.
    • Proposed energy modeling schemes improve reconstructed image quality by 3-5 dB.
    • Signal modeling overhead is drastically reduced from thousands to a few metadata points, significantly enhancing perceptual quality.

    Conclusions:

    • Accurate signal energy modeling is key to unlocking the full potential of ULT for visual communication.
    • The proposed practical energy modeling schemes offer substantial improvements in image quality and efficiency for ULT.
    • ULT provides a robust and high-performance alternative to conventional coded systems in dynamic wireless environments.