Fundamentals of MultimediaPearson Prentice Hall, 2004 - 560 sayfa For one-semester, advanced undergraduate/graduate-level Multimedia courses in departments of Computer Science, Engineering, CIS, and IT. This text fills a gap in the rapidly growing field of multimedia by introducing advanced programming students to the basic concepts of multimedia. Written by experienced teachers, this text evolved from materials used in class and forms the basis for all of the important topics that should be covered in a multimedia course. The material emphasizes concepts over applications and exposes students to real issues that they will encounter in the workplace. |
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93 sonuçtan 1-3 arası sonuçlar
Sayfa 207
... TRANSFORM CODING From basic principles of information theory , we know that coding vectors is more efficient than coding scalars ( see Section 7.4.2 ) . To carry out ... Transform Coding 207 Transform Coding Discrete Cosine Transform (DCT)
... TRANSFORM CODING From basic principles of information theory , we know that coding vectors is more efficient than coding scalars ( see Section 7.4.2 ) . To carry out ... Transform Coding 207 Transform Coding Discrete Cosine Transform (DCT)
Sayfa 223
... transform . It seeks to represents a signal with good resolution in both time and frequency , by using a set of basis functions called wavelets . There are two types of wavelet transforms : the Continuous Wavelet Transform ( CWT ) and ...
... transform . It seeks to represents a signal with good resolution in both time and frequency , by using a set of basis functions called wavelets . There are two types of wavelet transforms : the Continuous Wavelet Transform ( CWT ) and ...
Sayfa 386
... transform reduces to a discrete Fourier transform . The z - transform makes Fourier transforms look like polynomials . Now we can write the error in a prediction equation - e ( n ) = s ( n ) – Ĺa ; s ( n − i ) - i = 1 in the z domain ...
... transform reduces to a discrete Fourier transform . The z - transform makes Fourier transforms look like polynomials . Now we can write the error in a prediction equation - e ( n ) = s ( n ) – Ĺa ; s ( n − i ) - i = 1 in the z domain ...
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Sık kullanılan terimler ve kelime öbekleri
algorithm allows applications audio average band bandwidth basic bitrate bits bitstream block boundary called cell channel Chapter coding coefficients color communication components compression contains create data rate decoder defined developed discussed effect encoder enhancement error estimation example Figure filter format frame frequency function given Hence important input JPEG layer locales macroblock method mode motion vectors multimedia nodes object operates original output packet picture pixels possible prediction protocol provides quantization range received reference represent result samples scale scheme segment sequence shows signal similar simple sound specified speech standard step stream symbol Table techniques texture transform transmission transmitted types usually values voice wavelet wireless
Bu kitaba yapılan referanslar
Multimedia Transcoding in Mobile and Wireless Networks Ahmad, Ashraf M.A.,Khalil, Ismail Sınırlı önizleme - 2008 |