Subband and Wavelet Transforms Design and Applications

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.

Foreword. Preface. 1. Introduction and overview; M.J.T. Smith, A.N. Akansu. 2. Fundamentals and optimal design of subband and wavelet transforms; A.N. Akansu, R.A. Haddad. 3. Matrix theory for filter bank analysis and design; K. Nayebi, et al. 4. IIR filter banks and wavelets; R. Ansari. 5. The continuous wavelet transform, from 1 to 3 dimensions; J.-P. Antoine, R. Murenzi. 6. Time-frequency localization with non-stationary wavelet packets; A. Cohen, E. Séré. 7. Subband image coding; B. Girod, et al. 8. Subband video coding; R.L. Lagendijk, et al. 9. Audio coding with filter banks; J.D. Johnston. 10. Wavelets and filter banks in spread spectrum communication systems; G.J. Saulnier, et al. 11. Acoustic echo cancellation using subband adaptive filtering; P.L. de Léon, II, D.M. Etter. 12. Analog scramblers; R. Cox. 13. Multitone modulation; I. Kalet. Bibliography. Index.