This course has been created as an introduction to audio localization, and how beamforming can be applied in a real-time environment.
We will now look at aliasing and its effect on the sampled signal. As you know, aliasing exists whenever signal frequencies greater than Fs/2 are sampled using a sampling frequency of Fs. To eliminate aliasing, most sound cards and DSP boards have some sort of built-in analog anti-aliasing filter that removes all input signals greater than a certain frequency prior to sampling. It is important to remember that anti-aliasing filters must do the filtering prior to sampling ? otherwise, the high-frequency signals would have already aliased to lower frequencies by the sampling process.
NI LabVIEW DSP is a block diagram-based DSP development platform that allows the user to quickly set up complex DSP algorithms. The true power of LabVIEW lies in its ability to interface with external DSP devices and/or internal sound cards that are installed on the PC. The developed algorithms are downloaded to the DSP board, which then runs the algorithm in a real-time environment. In this lab, we will only scratch the surface regarding LabVIEW DSP's capabilities. For starters, we will look at how LabVIEW DSP interfaces with the A/D and D/A operations of the DSP board. Specifically, we will simply connect the A/D converter to the D/A converter so that the DSP system plays back audio signal sent to it.
The purpose of this lab is to examine FIR filter design/implementation using LabVIEW Digital Filter Design Toolkit and LabVIEW DSP Module. In this lab, it is assumed that the student is already familiar with the basic operation of LabVIEW.
The purpose of this lab is to examine IIR filter design/implementation using LabVIEW DSP. Particular attention is drawn to the comparison between theoretical filter characteristics and actual filter performance. In this lab, it is assumed that the student is already familiar with the basic operation of LabVIEW DSP.
The purpose of this lab is to examine IIR filter design/implementation using LabVIEW DSP. Particular attention is drawn to the comparison between theoretical filter characteristics and actual filter performance. In this lab, it is assumed that the student is already familiar with the basic operation of LabVIEW DSP.
The purpose of this lab is to familiarize students with the DSP development workstation in the signal processing lab by examining sampling, analysis, and reconstruction of continuous-time signals. Specifically, we will first look at sampling/reconstruction of continuous-time signals. We will then examine time- and frequency-domain displays. Finally, we will examine the importance of sampling frequency and its effects on aliasing.
The purpose of this lab is to familiarize students with the DSP development workstation in the signal processing lab by examining sampling, analysis, and reconstruction of continuous-time signals. Specifically, we will first look at sampling/reconstruction of continuous-time signals. We will then examine time- and frequency-domain displays. Finally, we will examine the importance of sampling frequency and its effects on aliasing.
Real time signal processing lab using J-DSP and interfaces to TI DSK and wireless crossbow sensor motes.
