![]() Chose platforms such as Intel/AMD or ARM-based CPUs. In the low-level software side, try improving your C / C++ and Assembler programming-debugging skills. Have you done some Adaptive Filtering? Why not implement them in realistic applications? Try channel equalisation, echo cancellations, noise reduction, system identification, line enhancement, prediction, compression etc. Make theoretical predictions, and try verifying them with simulations. ![]() ![]() Write your own functions, simulations and libraries. Pay attention to convolutions, LCCDE recursions, filter design, sampling, DFT, and FFT topics. Implement (or verify) various algorithms and theorems there. The best way to do is to code the concepts in a book such as Discrete-Time Signal Processing. ![]() Hardware projects will also cost extra bucks & mess, compared to pure software projects.Īlso, eventhough you've got your masters degree, just still need to polish your DSP skills, and make sure that you don't miss any serious topics in the fundamentals. You would need alot of electronics and acoustic skills, in addition to DSP, for these projects though. The extend depends on how much you want to (or you can) turn your home into a lab ?Īudio projects can range from software synthesizers, multimedia players, to aduio compression algorithms, micophone array based advanced imaging, and to all sorts of acoustic magic. There's an unlimited amount of projects you can do. ![]()
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