Efficient Algorithms and Architectures for DSP Applications

Dear Colleagues, 

Optimization of the implementation of DSP algorithms and architectures is an essential part of research and design for many modern applications, e.g., multimedia, big data, IoT, etc. 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. Optimizing such computationally intensive applications is a challenging issue that requires a clever design or restructuring of the algorithm or architecture. 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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