Advances in Algorithms and Architectures for Digital Signal Processing

Dear Colleagues,

In the new era of the digital revolution, optimization and the efficient implementation of the DSP algorithms and architectures are more and more important. We can say that they represent an essential part of the research in many modern applications, e.g., multimedia, big data, IoT, etc.

For real-time implementations of such modern DSP applications, the efficient optimization of such architectures or software implementations is sometimes a critical and challenging issue. For example, real-time multimedia applications have increasingly more performance requirements due to data processing and transmission of huge data volumes at high speeds, with resource constraints specific to portable devices.

This Special Issue focuses on papers that demonstrate how these design challenges can be overcome using innovative solutions.

Topics of interest for this Special Issue include but are not limited to:

• VLSI signal processing;
• Signal processing methods for an efficient implementation;
• Optimization of the VLSI implementation of multimedia blocks;
• Low-power circuits and systems for DSP applications;
• Efficient adaptive/learning algorithms (low complexity/fast versions, optimized parameters, etc.);
• Tensor-based signal processing (efficient decomposition methods, low-rank approximations, etc.);
• Sparsity-aware algorithms.

Prof. Dr. Chiper Doru Florin
Prof. Dr. Constantin Paleologu
Guest Editors

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