This is a MATLAB based object oriented and parallel capable implementation of a genetic algorithm to search for discrete solutions composed of a fixed number of elements drawn from a finite number of ...

I defined a "goal area" to simulate the set goal, in order to get faster results. I bias the sampler towards the goal, if the sampled point is within the tolerance (0.01 - 0.02), then it is consider ...

The design of algorithm-intensive electronic and communications systems typically begins with MATLAB. The MATLAB algorithms eventually need to be converted into C code for integration into the final ...

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...

Part 2 discusses the process of integrating Embedded MATLAB code into Simulink models as part of a Model-Based Design workflow. Many embedded developers are familiar with the idea-to-implementation ...

Abstract: In recent years, there has been a significant and exponential increase in the demand for electric vehicles (EVs), which has consequently heightened the necessity for charging stations. The ...

Abstract: Use MATLAB algorithm to optimize blending ratio of polyester/cotton/antistatic fibre blended fabric. Use the antistatic fibre and analysis the properties of ...

Historically, exploiting FPGA or ASIC implementation of DSP algorithms has been the domain of companies with highly-skilled designers and large budgets. Now, a new generation of tools is bringing ...

1 Faculty of Science, University of Maroua, Maroua, Cameroon. 2 Ecole Nationale Superieure Polytechnique, University of Maroua, Maroua, Cameroon. The purpose of this paper is to demonstrate the ...

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...