Post by allancaldwell on Nov 1, 2011 8:17:24 GMT
DSP or Digital Signal Processing is a process that is concerned with the representation of discrete time signals by a sequence of numbers or symbols and the processing of these signals. Two subfields of signal processing are digital signal processing and analog signal processing. Also, digital signal processing has subfields that include audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for communications, control of systems, biomedical signal processing, seismic data processing etc. Measuring, filtering and compressing continuous real world analog signals are what include in the usual goals of DSP. As the first step, the signal is converted from an analog to a digital form by sampling it using an analog to digital convertor (ADC). As a result of this process, the analog signal is turned into a stream of numbers. But often it so happens that the required output signal is another analog output signal and it requires a digital to analog converter (DAC). As it is pointed out by experts, this process is more complex than analog processing and it also has a discrete value range, even then, the application of computational power to digital signal processing allows for many advantages over analog processing in many applications such as error detection and correction in transmission as well as data compression. It is pointed out by experts that dsp algorithms have long been run on standard computers, on specialized processors called digital signal processor on purpose built hardware such as application specific integrated circuit (ASICs).