Chapter 3 - DSP System General Model

Abstract

This chapter explains the digital signal processing (DSP) system general model and the various functions that it performs. It accepts an analog signal as an input and converts this analog signal to numbers. It also performs computations using the numbers and converts the results of the computations into an analog signal. Different types of information can be derived from the numbers used in this process. This information may be analyzed, stored, displayed, transmitted, or otherwise manipulated. To understand the overall DSP system it is necessary to understand input, signal-conditioning circuit, antialiasing filter, analog-to-digital converter, processor, program store, data store, data transmission, display and user input, digital-to-analog converter, output smoothing filter, output amplifier, and output transducer. Most practical DSP applications acquire a signal and then do some manipulation. This work is often called digital signal analysis. Some additional requirements that are specific to DSP systems or are strongly influenced by the fact that the signals will be handled digitally are also important to consider. This chapter also generates, captures, or reproduces a real-world analog signal. The resolution of the amplitude of each sample is a system parameter. In other words, it depends on the input circuitry, how the system is used, and so forth.