Image Filter Design with Evolvable Hardware
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Run-Time Reconfigurable Systems for Digital Signal Processing Applications: A Survey
Journal of VLSI Signal Processing Systems
Run-time reconfigurable systems for digital signal processing applications: a survey
Journal of VLSI Signal Processing Systems
An evolvable hardware system in Xilinx Virtex II Pro FPGA
International Journal of Innovative Computing and Applications
Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Hardware based genetic evolution of self-adaptive arbitrary response FIR filters
Applied Soft Computing
Intrinsic evolution of sorting networks: a novel complete hardware implementation for FPGAs
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
Accelerating FPGA-based evolution of wavelet transform filters by optimized task scheduling
Microprocessors & Microsystems
| Hi-index | 0.00 |
One important feature of signal processing is coping with noise. In a non-adaptive filter, characteristics of the filter may be refined to remove noise. One method of achieving this is to use evolution to decide the filter characteristics. However, if the noise level is sufficient or the input signal is not of the required type for the output signal required, then a satisfactory output signal may not be achievable. To be able to achieve the required output signal for a wide range of input signals and noise, it is desirable to be able to adjust both the characteristics and the type of the filter. In this way, the resulting filter may be said to be an adaptive filter. In this paper, we propose an on-chip solution for an adaptive digital filter using an on-chip evolvable hardware method. We highlight a challenge within evolvable hardware for adaptive designs and that is to find efficient ways in which sufficient genetic material will be available to the evolution process. This problem appears when the evolution process is automatically restarted to adapt to a change in the environment.