Chapter 7 - Digital Signal Processing

Abstract

This chapter describes the various aspects of digital signal processing. Devices that convert analog signals to digital (A/D) and digital signals to analog (D/A) are the backbone of digital signal processing (DSP). DSP in automated test equipment (ATE) is a microprocessor-controlled operation that processes signals at high rates. DSP is broadly used in telecommunications, especially integrated service digital networks (ISDN), filtering and speech recognition, and comparison and medical imaging such as magnetic resonance imaging (MRI). Fourier analysis (Fourier series and transform) is the fundamental tool used to characterize linear or mixed-signal microchips. A signal sampled by this method can subsequently be analyzed for a variety of complex parameters such as signal-to-noise ratio (SNR), total harmonic distortion (THD), phase and gain discrepancies in the frequency domain. An audio digitizer is a module with a high-speed, high-resolution A/D converter. It digitizes an analog input signal and stores it in accessible memory as a sequence of digits. It has been found that the Fourier transform is used to determine the frequencies of nonperiodic waveforms with finite energy in each period.