The field of digital signal processing (DSP) has spurred developments from basic theory of discrete-time signals and processing tools to diverse applications in telecommunications, speech and acoustics, radar, and video. This volume provides an accessible reference, offering theoretical and practical information to the audience of DSP users. This immense compilation outlines both introductory and specialized aspects of information-bearing signals in digital form, creating a resource relevant to the expanding needs of the engineering community. It also explores the use of computers and special-purpose digital hardware in extracting information or transforming signals in advantageous ways. Impacted areas presented include: Telecommunications Computer engineering Acoustics Seismic data analysis DSP software and hardware Image and video processing Remote sensing Multimedia applications Medical technology Radar and sonar applications This authoritative collaboration, written by the foremost researchers and practitioners in their fields, comprehensively presents the range of DSP: from theory to application, from algorithms to hardware.A stable univariate probability distribution function (PDF) has characteristic function alt;p(t) of the form [18] alt;p(t) = exp{jat - Y\t\a[l + jps%n(t)aagt;(t, a)]\ (16.46) where ... No closed-form solution exists in general for the two; however, power series expansion of the pdf is available ... This aspect was discussed in the third section. ... Annals Mathematical Statistics, 36: 1351-1374, 1965. [2] Brillinger, D.R., Time Series, Data Analysis and Theory, Holt, Rinehart and Winston, New York, 1975.

Title | : | The Digital Signal Processing Handbook |

Author | : | VIJAY MADISETTI |

Publisher | : | CRC Press - 1997-12-29 |

Continue