Subband and Wavelet Transforms: Design and ApplicationsAli N. Akansu, Mark J.T. Smith Springer Science & Business Media, 1995. gada 31. okt. - 452 lappuses The scientists and engineers of today are relentless in their continuing study and analysis of the world about us from the microcosm to the macrocosm. A central purpose of this study is to gain sufficient scientific information and insight to enable the development of both representative and useful models of the superabundance of physical processes that surround us. The engineers need these models and the associated insight in order to build the information processing systems and control systems that comprise these new and emerging technologies. Much of the early modeling work that has been done on these systems has been based on the linear time-invariant system theory and its extensive use of Fourier transform theory for both continuous and discrete systems and signals. However many of the signals arising in nature and real systems are neither stationary nor linear but tend to be concentrated in both time and frequency. Hence a new methodology is needed to take these factors properly into account. |
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Citi izdevumi - Skatīt visu
Subband and Wavelet Transforms: Design and Applications Ali N. Akansu,Mark J.T. Smith Ierobežota priekšskatīšana - 2012 |
Subband and Wavelet Transforms: Design and Applications Ali N. Akansu,Mark J.T. Smith Priekšskatījums nav pieejams - 2011 |
Subband and Wavelet Transforms: Design and Applications Ali N. Akansu,Mark J.T. Smith Priekšskatījums nav pieejams - 2011 |
Bieži izmantoti vārdi un frāzes
adaptive filter algorithm aliasing allpass analysis and synthesis analysis filter bank applications approximation audio band bandwidth basis functions bit rate block channel coder components computational critically sampled decoder delay distortion downsampling encoded Equation exact reconstruction excision filter banks frame frequency domain frequency response full-band Gaussian halfband filter HDSL highpass Ho(z IEEE IEEE Trans image coding implementation impulse response input signal interference lattice length lowpass filter M-band M-channel matrix modulation Morlet wavelet motion compensation motion-compensated multirate multitone noise optimal orthogonal orthonormal output paraunitary perfect reconstruction performance polyphase PR-QMF quantization errors resolution scalability scale scrambler sequence shown in Figure Signal Processing solution spatial spectral speech Speech Signal Process spread spectrum structure subband coding subband decomposition subband image subband signals subband transform subband tree techniques time-frequency transfer function transform domain upsampling vector quantization wavelet packets wavelet transform
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