Introduction

The importance of digital filters is well established. Digital filters, and more generally digital signal processing
algorithms, are classified as discrete-time systems. They are commonly implemented on a general purpose computer
or on a dedicated digital signal processing (DSP) chip. Due to their well-known advantages, digital filters are often
replacing classical analog filters. In this application note, we introduce a new digital filter design and analysis tool
implemented in LabVIEW with which developers can graphically design classical IIR and FIR filters, interactively
review filter responses, and save filter coefficients. In addition, real-world filter testing can be performed within the
digital filter design application using a plug-in data acquisition board.Digital Signal Processing (DSP) affords greater flexibility, higher
performance (in terms of attenuation and selectivity), better
time and environment stability and lower equipment production
costs than traditional analog techniques. Additionally, more and
more microprocessor circuitry is being displaced with costeffective
DSP techniques and products; an example of this is
the emergence of DSP in cellular base stations. Components
available today let DSP extend from baseband to intermediate
frequencies (IFs). This makes DSP useful for tuning and signal
selectivity, and frequency up and down conversion.
These new DSP applications result from advances in digital
filtering. This Application Note will overview digital filtering by
addressing concepts which can be extended to baseband
processing on programmable digital signal processors.