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This paper proposes an efficient hardware architecture for an elementary function generator that is suitable for use as the activation function in an artificial neural network (ANN). A spline-based approximation function is designed that provides a good trade-off between accuracy and ...., whilst also being inherently scalable and adaptable to other… (More)

This paper proposes an energy-efficient hardware acceleration architecture for the variable N-point 1D Discrete Cosine Transform (DCT) that can be leveraged if implementing MPEG-4's Shape Adaptive DCT (SA-DCT) tool. The SA-DCT algorithm was originally formulated in response to the MPEG-4 requirement for object based texture coding, and is one of the most… (More)

The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems. Previous approaches tend to use hill-climbing algorithms risking sub-optimal results. The three-stage algorithm proposed in this paper partitions the global constant matrix mul-tiplier into its… (More)

This paper addresses the problem of accelerating large artificial neural networks (ANN), whose topology and weights can evolve via the use of a genetic algorithm. The proposed digital hardware architecture is capable of processing any evolved network topology, whilst at the same time providing a good trade off between throughput, area and power consumption.… (More)

The efficient design of multiplierless implementa-The goal is to find the optimal sub-expressions across all N dot tions of constant matrix multipliers is challenged by the huge products in (3) that lead to the fewest adder resources needed. solution search spaces even for small scale problems. Previous ap-Three properties aid the classification of… (More)

The explosive growth of the mobile multimedia industry has accentuated the need for efficient VLSI implementations of the associated computationally demanding signal processing algorithms. In particular, the short battery life caused by excessive power consumption of mobile devices has become the biggest obstacle facing truly mobile multimedia. We propose… (More)

Recommended by Antonio Nunez We propose novel hardware accelerator architectures for the most computationally demanding algorithms of the MPEG-4 video compression standard-motion estimation, binary motion estimation (for shape coding), and the forward/inverse discrete cosine transforms (incorporating shape adaptive modes). These accelerators have been… (More)

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