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.
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.
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