As the technology advances, more complicated systems emerge, requiring sophisticated algorithms often encompassing very complex digital signal processing (DSP) techniques. Although the performance of programmable processors is continuously improving, hardware implementation of DSP algorithms is increasingly required in several areas such as wireless communications, multimedia systems, computer networks, and biomedicine. There are several challenges that engineers face while designing hardware DSP algorithms. These challenges are heightened by the needs of huge computing power (required in real-time systems), reducing energy consumption (for portable, battery-operated systems) and reducing costs. Technology scaling adds additional difficulties related to variability of device parameters, leakage currents, and signal integrity. Therefore, hardware implementation of DSP algorithms has gained much attention during past years and is the focus of this special issue. Original manuscripts are welcomed in this special issue. Potential topics include, but are not limited to:

• FPGA and ASIC implementations of DSP algorithms
• VLSI building blocks for hardware implementation of DSP algorithms
• Low-power hardware realization of DSP algorithms
• DSP hardware for sensor systems
• Implementation of DSP algorithm in System-on-Chip (SoC)
• High-level synthesis for hardware implementation of DSP algorithms
• Hardware implementation of DSP algorithms for wireless communications
• Hardware implementation of DSP algorithms for biomedical signal processing
• Hardware implementation of DSP algorithms for image, video, and multimedia processing
• Hardware implementation of DSP algorithms for machine learning
• Hardware implementation of DSP algorithms for audio speech and language processing

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