Science - Course - Advanced Digital Signal Processing

DSP embedded systems, specialized processor vs. regular processors for DSP applications, binary number representation, fixed-point and floating-point DSP architectures, Q-format for data representation, bit allocation and arithmetic, portability of arithmetic expressions: floating point vs. fixed point. Applications to signal parameter estimation, signal generation, filtering, signal correlation, and spectral estimation (FFT).