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 ...

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 ...

This repository contains a stochastic optimisation algorithm developed in the Matlab environment. It is a Coyote Optimization Algorithm (COA) that was used in a master's thesis to optimize 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 ...

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 ...

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 ...

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 ...