| This document presents digital signal processing formulations and computing methods using the DSP processor TMS320C6711, of Texas Instruments, to implement multirate systems with discrete and finite length signals. In many digital signal processing applications sampling rates need to be changed for high computational efficiency losing the desired information carried by the signal. These multirate systems play an important role in many engineering and communications applications such as sensor arrays, beamformnig, FIR filters, filter banks, time frequency representations and systems with associated diverse sampling rates. Special emphasis is given to the concepts of modularity and scalability during the hardware implementation.; The main goal of this work consists in reducing the sampling rate to control the lose of desired information in a communication signal. In order to obtain only the desired information stored in the original communication signal with associated lower computational effort. The implementation of these concepts was made on the DSP processor TMS320C6711 of Texas Instruments. Finally a multirate beamforming with 32 sensors were implemented on the DSP processor using simulated data from MatlabRTM. |
