Advances in Digital Signal Processing
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Digital signal processing (DSP) is a sub-field of signal processing. It refers to the processing of discrete-time sampled signals using digital circuits or general purpose computers. Sonar, radar, speech recognition, digital image processing, biomedicine, audio signal processing, video compression, financial signal processing, etc. are some of the various areas that require digital signal processing. Digital signal processing is superior to analog processing as it allows data compression, and error detection and correction in transmission. Digital signal processing may be done in the time doma...
Digital signal processing (DSP) is a sub-field of signal processing. It refers to the processing of discrete-time sampled signals using digital circuits or general purpose computers. Sonar, radar, speech recognition, digital image processing, biomedicine, audio signal processing, video compression, financial signal processing, etc. are some of the various areas that require digital signal processing. Digital signal processing is superior to analog processing as it allows data compression, and error detection and correction in transmission. Digital signal processing may be done in the time domain, frequency domain, spatial domain, or wavelet domain. This choice is made depending on the domain that best represents the essential characteristics of the signal and the processing required. The ever growing need of advanced technology is the reason that has fueled the research in the field of digital signal processing in recent times. The topics included in this book on this discipline are of utmost significance and bound to provide incredible insights to readers. It is appropriate for students seeking detailed information in this area as well as for experts.
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