Project based 6 months industrial training in Digital Signal Processing (DSP) with MATLAB and FPGA prepares the candidates to take up the responsibilities for designing, creating, and programming high-performance chips. A team of DSP experts shares the knowledge and programming skills that guides the candidates in algorithm development and design methodologies.
The course builds the foundation by explaining DSP, quantization, sampling, anti-aliasing, and reconstruction filters. Aspirants will learn how to use MATLAB and deal with matrices and arrays. Creating scripts, plotting commands, and using pre-defined functions along with creating user-defined functions are also covered in this training program. Using SIMULINK, candidates will create models of the mathematical equations and dynamic systems. Regarding FPGA, aspirants will learn the architecture of XILINX, and ALTERA devices. Learners will also get exposure to some typical DSP applications including speech recognition, image recognition, radar system, and room response analysis. Candidates will also develop projects for implementation exposure of the concepts’
Project based 6 months industrial training in Digital Signal Processing (DSP) with MATLAB and FPGA prepares the candidates to take up the responsibilities for designing, creating, and programming high-performance chips. A team of DSP experts shares the knowledge and programming skills that guides the candidates in algorithm development and design methodologies.
The course builds the foundation by explaining DSP, quantization, sampling, anti-aliasing, and reconstruction filters. Aspirants will learn how to use MATLAB and deal with matrices and arrays. Creating scripts, plotting commands, and using pre-defined functions along with creating user-defined functions are also covered in this training program. Using SIMULINK, candidates will create models of the mathematical equations and dynamic systems. Regarding FPGA, aspirants will learn the architecture of XILINX, and ALTERA devices. Learners will also get exposure to some typical DSP applications including speech recognition, image recognition, radar system, and room response analysis. Candidates will also develop projects for implementation exposure of the concepts’
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