An example of application is presented in this paper in order to illustrate the feasibility of this methodology. Another important benefit is that it avoids low level hardware work that can be tedious and time consuming. ![]() The methodology development represents a very important tool for the engineer in charge of design-simulation-implementation of adaptive filters. ![]() The purpose of this methodology is to provide an efficient and rapid method to develop and test adaptive filters in DSPs. This paper presents a methodology for accelerated development of solution associated to adaptive filtering using Matlab/Simulink, Code Composer Studio and DSK 6713 digital signal processing (DSP) technologies. The proposed course was validated from both pedagogical and industrial point of view through two surveys. The work presents an easy-to-follow structure that can be easily understood by the students. MATLAB and field programmable gate arrays (FPGA) are used as the design tool and the synthesis platform, respectively. ![]() The work focuses on the open core design used in those hardware descriptions through proposing several lab practices intended to get students trained in the hardware software co-design. The course covers the main topics of signal processing and includes the main hardware designs used in industry. ![]() The contribution of this work is to propose a hardware signal processing course based on the pedagogical methodology known as design experiments, in which theory and practice are linked. Consequently, there is an increasing demand of engineers with high-level knowledge in software and hardware development. Nowadays, the industry is widely using embedded systems to match the requirements of low cost and high performance.
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