Minha apresentação de 1 minuto no Poster Craze Session 1

• One of the interests of our group is real-time Digital Signal Processing.
• In this research project, we are interested in performing DSP on highly available devices in terms of technology and cost.
• Other platforms we are studying are GPU cards and Arduino boards, but this work is specifically about evaluating the performance of Android devices for real-time DSP.
• So the initial question was how to obtain useful information/statisctics about Android devices performance for DSP which can aid aesthetic and algorithmic decisions regarding hardware (model) and software (version) choices.
• We developed a minimal Android application for DSP which can read from the microphone or from WAV files stored on the memory and perform a series of common DSP techniques, as for example FFTs, recursive filtering, additive synthesis, etc.
• This application includes timekeeping code, so we can keep track of the amount of time required to perform each of these tasks while maintaining real-time feasibility.
• This allows for giving liver feedback to the musician/developer about resources consumption and device performance, and also generating reports that can be further analised.
• With this data, we can obtain useful information about devices as for example how long they take to perform an N point FFT and if this is indeed feasible under real-time constraints.
• We can also obtain the maximum amount of FIR filter coefficients that can be applied to the input while maintaining real-time conditions.