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We propose a quad-core mixed integer quadric programming (MIQP) solver processor. The MIQP solver is applicable to hybrid control systems including real-time control robotics. Using multi-core architecture, fixed-point calculations, and branch-and-bound method with high-dispersion performance while processing a 50-variable problem, our design achieves 34.7-mW operation at a frequency of 52 MHz in...
We propose a microphone array network that realizes ubiquitous sound acquisition. Nodes with 16 microphones are connected to form a large sound acquisition system that carries out voice activity detection (VAD), sound source localization and sound source separation. The three operations are distributed among nodes using network. Because the VAD is implemented to manage power consumption, the system...
We propose a microphone array network that realizes ubiquitous sound acquisition. Nodes with 16 microphones are connected to form a large sound acquisition system that carries out voice activity detection (VAD), sound source localization and sound source separation. The three operations are distributed among nodes using network. Because the VAD is implemented to manage power consumption, the system...
This paper describes parallel processor architecture for a mixed integer linear programming (MILP) solver to realize motion planning and hybrid system control in robot applications. It features pipeline architecture with an MILP-specific configuration and two-port SRAM. Based on the architecture, both FPGA and VLSI implementations have been done to solve sample problems including 16 variables. The...
We propose a high-speed mixed integer quadratic programming (MIQP) solver on an FPGA. The MIQP solver can be applied to various optimizing applications including real-time robot control. In order to rapidly solve the MIQP problem, we implement reusing a first solution (first point), pipeline architecture, and multi-core architecture on the single FPGA. By making use of them, we confirmed that 79.5%...
We propose a power management method using a digital voice activity detection (VAD) module for intelligent ubiquitous sensor systems. When this VAD module detects a speech signal, a main signal processing circuit is connected to a power source. When no speech signal is detected, most circuits except VAD are blocked off, thereby reducing stand-by power for the specialized sensor nodes used for speech...
We propose a GMM processor for large vocabulary real-time continuous speech recognition. This processor achieves low operating frequency and low memory bandwidth using parallelization and vector look-ahead schemes, which are suitable to FPGA implementation. We designed the proposed processor on a Celoxica RC250 FPGA board, and confirmed that the required frequency and memory bandwidth for real-time...
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