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First, we describe the design and implementation of the hardware and software architectures of the device.
Section 3 firstly gives the system architecture then describes the design and implementation of the hardware and software platform.
In Section 5, we describe a design and implementation of the hardware architecture for the proposed device.
The implementation of this structure in hardware requires an additional complex hardware to handle the floating point computations.
This paper presents the implementation of two hardware architectures, i.e., A2 Lattice Vector Quantization (LVQ) and Multistage A2LVQ (MA2LVQ), using a Field-Programmable Gate Array (FPGA).
The result of this hardware implementation is provided in Section 5. Comparisons between our algorithm and others are presented in Section 6.
Result of this hardware implementation showed a fast architecture, i.e., the total time to process the image of an eye with 136 × 82 pixels in this system is 136 μs.
This paper presents an array based hardware implementation of this time consuming process for network intrusion detection and directory lookup applications using reconfigurable hardware.
Different architectures for the hardware implementation of this algorithm are described in VHDL language.
Hardware implementation of this intelligent controller is performed by a DSP with VisSim platform.
To simplify the hardware implementation of this procedure we approximate the AFlen with the nearest number of 2 k, less than AFlen.
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