BOOKS - Read

advertisement
参考文献
[1] A. Akansu et al. Multiresolution Signal Decomposition. Academic Press, 1993.
[2] B. Boashash, Time-frequency Signal Analysis. Wiley Halsted Press, 1992.
[3] C. K. Chui. An Introduction to Wavelets. Academic Press, New York, 1992.
[4]R.E. Crochiere and L.R. Rabiner. Multirate Digital Signal Processing. Prentice-Hall,
Englewood Cliffs, NJ, 1983.
[5] I. Daubechies.Ten Lectures on Wavelets. SIAM, Philadelphia, PA,l992.
[6] N.J. Fliege. Multirate Digital Signal Processing. John Wiley and Sons, Chichester, UK, 1994.
[7] F. Auger, P. Flandrin, et al. Time—Frequency Toolbox: For Use with MATLAB.
http://www.mathtools.com
[8] S. Mallat. A Wavelet Tour of Signal Processing. Academic Press, San Diego, CA, 1997.
[9] H.S.Malvar. Signal Processing with Lapped Transforms. Artech House, Norwood, MA,1992
[10]A.Mertins. Signal Analysis: Wavelet, Filter Banks, Time - Freuency Transforms and
Applications. John Wiley & Sons Ltd, 1999
[11] A. Papoulis. Signal Analysis. McGraw-HilI. New York, NY 1988.
[12]J. G. Proakis, D. G. Manolakis. Introduction to Digital Signal Processing. New York:
Macmillan Publishing Company, 1988
[13] Qian Shie, Chen Dapang. Joint Time-Frequency Analysis: Methods and Applications.
Prentice-Hall,1995.
[14] G. Strang et al. Wavelets and Filter Banks. Wellesley-Cambridge Press, Boston, 1996.
[15] P.P.Vaidyanathan. Multirate Systems and Filter Banks. Prentice-Hall, Englewood Cliffs,
NJ.1993.
[16] M. Vetterli et al. Wavelets and Subband Coding. Prentice-Hall, Englewood Cliffs, NJ, 1995.
[17]P M. Woodward. Probability and Information Theory with Application to Radar. London:
Pergamon, 1953
[18]胡昌华,张军波 等. 基于 MATLAB 的系统分析与设计――小波分析. 西安电子科技大
学出版社,1999
[19]胡广书.数字信号处理――理论、算法与实现.北京:清华大学出版社,1997
[20] L.科恩 著,白居宪 译. 时-频分析:理论与应用. 西安:西安交通大学出版社,1998
[21]杨福生. 小波变换的工程分析与应用. 北京:科学出版社,1999
[22]张贤达. 非平稳信号分析与处理. 北京:国防工业出版社,1998
[23]宗孔德.多抽样率信号处理.北京:清华大学出版社,1996
[24] A. Averbuch, D. Lazar, and M. Israeli. lmage compression using wavelet decomposition.
IEEE Trans. Image Proc., 5(1 ):4--l5, l996.
[25 ] M.J.Bastiaans. A Sampling Theorem for the Complex Spectrogram,and Gabor’s Expansion
of a Signal in Gaussian Elementary Signals. Optical Eng.,20(4):594—598,1981
389
[26] Z. Berman, J. S. Baras. Properties of the multiscale maxima and zero-crossings
representations. IEEE Trans. Signal Proc., 4l (l2):32l6--3231, December l993.
[27] G. Beylkin, R. Coifman, et al. Fast wavelet transforms and numerical algorithms. Comm. on
Pure and Appl. Math., 44: l4l--l83, l99l.
[28] Boashash B, Black P. An efficient real time implementation of the Wigner-Ville distribution.
IEEE Trans. on ASSP, 1987, 35(11):1611--1618
[29] Boashash B. Estimating and interpreting the instantaneous frequency of a signal-part I:
fundamentals. Proc. IEEE., 1992, 80(4): 520--538
[30] Boashash B. Estimating and interpreting the instantaneous frequency of a signal-part II:
algorithms and applications. Proc. IEEE., 1992, 80(4): 540: 568
[31]H. Bolcskei,et al. Discrete ZAK Transform, Polyphase Transforms,and Applications. IEEE
Trans. Signal Proc., 45 (4):851--866,l997.
[32] N G de Bruijn. A theory of generalized functions, with applications to Wigner distribution
and weyl correspondence. Wieuw Archief voor Wiskunde (3), 1973,XXI: 205 -- 280
[33] P.J.Burt. Smart sensing within a pyramid vision machine. Proc. IEEE., 76(8): 1006--1015,
August 1988.
[34] P.J. Burt, E. H. Adelson. The Laplacian pyramid as a compact image code. IEEE Trans.
Commun., 31(4):532--540, April l983.
[35] J. Canny. A computational approach to edge detection. IEEE Trans. Patt. Recog. and Mach.
Intell., 36:961--1005, September 1986.
[36] S. Chen, D. Donoho. Atomic decomposition by basis pursuit. ln SPlE International
Conference on Wavelets. San Diego, July 1995.
[37] H. I.Choi and W. J. Williams. Improved time-frequency representation of multicomponent
signals using exponential kernels. IEEE Trans. Acoust., Speech, and Signal Proc..
37(6):862-87l, l989.
[38] T C M. Classen , W F G. Mecklenbrauker . The Winger distribution--part I. Philips Res. J.
1980, 35: 217--250
[39] T C M. Classen , W F G. Mecklenbrauker . The Wigner distribution--part I. Philips Res. J.
1980, 35: 276--300
[40] T C M. Classen , W F G. Mecklenbrauker. The Wigner distributiOn--part M. Philips Res. J.
1980, 35: 372--389
[41] A. Cohen , I. Daubechies. On the instability of arbitrary biorthogonal wavelet packets.
SIAM, J.of Math. Anal. 24(5):1340--1354, 1993.
[42] A. Cohen, I. Daubechies et al. Biorthogonal bases of compactly supported wavelets.
Commun. on Pure and Appl. Math., 45:485--560. 1992.
[43] A.Cohcn, I. Daubechies, et al. Wavelet bases on the interval and fast algorithms. J. Of Appl.
and Comput. Harmonic Analysis, 1:54--8l. 1993.
[44] L. Cohen. Generalized phase-space distribution functions. J.Math. Phys., 7(5):781--786,
l966.
[45] L. Cohen, T. Posh. Positivity of Time-Frequency Distribution. IEEE Trans. On ASSP, 1985,
390
33(1):31--37
[46] L.Cohen, T E. Posch. Generalized Ambiguity Functions. Proc. IEEE Conf. On ASSP Tampa,
March 1985, 27.6.1--27.6.4
[47] L. Cohen. Time-Frequency Distributions: A review. Proc. IEEE, 77(7):941--981, July l989.
[48] R. R. Coifman, M. V Wickerhauser. Entropy-based algorithms for best basis selection.
IEEE Trans. Info. Theow, 38(2):7l3--7l8, March l992.
[49] R E. Crochiere. A general program to perform sampling rate conversion of data by rational
ratios. in programs for digital signal Processing, new york: IEEE Press, 1979, 8.2.1--8.2.7
[50]R E. Crochiere , L R. Rabiner. Interpolation and decimation of digital signals: a tutorial
review. Proc. IEEE, 1981, 69(March): 300—331
[51] I. Dauhechies. Orthonormal bases of compactly supported wavelets. Commun. on Pure and
Appl. Math., 4l:909--996, Novemher 1988.
[52] I. Daubechies. The wavelet transform, time-frequency localization and signal analysis. IEEE
Trans. Info. Theory,. 36(5):961--1005, September 1990.
[53] I. Daubechies and J. Lagarias. Two-scale difference equations:IL. Local regularity, infinite
products of matrices and fractals. SIAM J. of Math. Anal., 24, l992.
[54] G. M. Davis. A wavelet-based analysis of fractal image compression. IEEE Trans. on Image
Proc., 1997.
[55] N. Delprat, B. Escudié, et al. Asymptotic wavelet and Gabor analysis: extraction of
instantaneous frequencies. IEEE. Trans. Info. Theory, 38(2):644--664. March 1992.
[56] R. A. DeVore, B.Jawerth, et al. Image compression through wavelet transform coding. lEEE.
Trans. lnfo. Theory, 38(2):7l9--746, March 1992.
[57] D. Donoho, I. Johnstone. Ideal denoising in an orthonormal basis chosen from a library of
bases. C.R. Acad. Sci. Paris, Série I, 319:1317--1322, 1994.
[58] R. J. Duffin, A. C. Schaeffer. A class of nonharmonic Fourier series. Trans. Amer. Math.
Soc., 72:341--366, 1952.
[59] P.Duhamel, Y.Mahieux,et al. A fast algorithm for the implementation of filter banks based
on timc domain aliasing cancellation. In Proc. lEEE. Int. Conf Acoust., Speech. And Signal
Proc., pages 2209--2212, Toronto, Canada, May 1991.
[60] P. Dutilleux. An implementation of the algorithm à trous to compute the wavelet transform.
In Wavelets: Time-Frequency Methods and Phase Space, IPTI, pages 289--304. Springer,
New York, 1989.
[61]D. Esteban, C. Galand. Application of quadrature mirror filters to split band voice coding
schemes. Proc. IEEE ICASSP, PP191—195,1977.
[62] P.Flandrin, O.Rioul. Affine smoothing of the Wigner-Ville distribution. In Proc. IEEE Int.
Conf. Acoust., Speech, Signal Processing, pages 2455—2458, Albuquerque, NM, April
1990.
[63] B. Friedlander, et al. Detection of Transient Signals by the Gabor Representation. IEEE
Trans. Acoust., Speech, and Signal Proc., 37(2):169--179 February 1989.
[64] D. Gabor. Theory of comunication. J. IEE, 93:429-457, 1946.
391
[65] X. Gao, Z..He, et al. A new implementation of arbitrary-length cosine-modulated filter bank.
ln Proc. IEEE Int. Conf. Acoust., Spcech, Signal Processing, volume 3, pages 1465----1468,
Seattle, May 1998.
[66] P. Goncalves et al. Pseudo Affine Wigner Distribution: Definition and Kernel Formulation.
IEEE Trans. Signal Processing, 46(6):1505--1527, June 1998.
[67] K. Gröchenig. Iregular sampling of wavelet and short-time Fourier transforms. Constr.
Approx., 9:283--297, 1993.
[68] P.N. Heller, T. Karp, et al. A general formulation of modulated filter banks. IEEE Trans.
on Signal Processing,47(4):986—1002, 1999.
[69] C. Herley, et al. Tilings of the time--frequency plane: construction of arbitrary orthogonal
bases and fast tiling algorithms. IEEE Trans. Signal Proc.,41(12):3341--3359, 1993.
[70]F. Hlawatsch, F.Boudreaux-Bartels. Linear and quadratic time-frequency signal
representations. IEEE Sig. Proc. Mag., 9(2):21--67, 1992.
[71]S. Jaggi, W C. Karl, S. Mallat, and A. S. Willsky. High resolution pursuit for feature
extraction,1997. To appear.
[72]A.J.E.M. Janssen. The ZAK Transform: A Signal Transform for Sampled Time—Continuous
Signals. Philips J. Res. 1988, 43: 23—699,
[73]A.J.E.M. Janssen. The ZAK Transform and Sampling Theorems for Wavelet Subspaces.
IEEE Trans. Signal Proc.,41(12):3360--3364, 1993.
[74] N. Jayant. Signal compression: technology targets and research directions. IEEE J. on Sel.
Areas in Commun., 10(5):796-818, June 1992.
[75] N. J. Jayant, J. Johnstone, et al. Signal compression bascd on models of human perception.
Proc. IEEE, 81(10):1385--1422, October 1993.
[76]J. Jeong, W J. Williams. Kernel design for reduced interference distributions. IEEE Trans.
Signal Processing, 1992,40(2):402--412
[77]J. D.Johnston. A filter family designed for use in quadratute mirror filter bank. Proc. IEEE
ICASSP, PP291—294,1980.
[78] J. Kalifa, S. Mallat. Wavelet packets deconvolutions, 1998. Tech. Rep., CMAP, Ecole
Polytechnique.
[79] J. Kliewer, A. Mertins. Oversampled cosine-modulated filter banks with low system delay.
IEEE Trans. Signal Processing, 46(4):941---955, April 1998.
[80] R.D. Koilpillai, P.P. Vaidyanathan. Cosine-modulated FIR filter banks satisfying perfect
reconstruction. IEEE Trans. Signal Processing, 40:770--783, April 1992.
[81] A. Laine, J. Fan. Frame representations for texture segmentation. IEEE Trans. Image Proc.,
5(5):771--780, 1996.
[82] J. Laroche, Y.Stylianos, et al. HNS: speech modification based on a harmonic plus noise
model. In Proc. IEEE Int Conf. Acoust., Speech, and Signal Proc., Minneapolis, Minnesota,
April 1993.
[83] W.Lawton. Tight frames of compactly supported wavelets. J Math. Phys., 31:1898--1901,
1990.
392
[84] W. Lawton. Necessary and sufficient conditions for constructing orthonormal wavelet bases.
J. Math. Phys., 32:57--61, 1991.
[85]D. LeGall. MPEG: a video compression standard for multimedia applications.
Communications of the ACM, 34(4):46-58, 1991.
[86] J. M. Lina, M. Mayrand. Complex Daubechies wavelets. J. of Appl. and Comput. Harmonic
Analysis, 2:219--229, 1995.
[87]S. Mallat. Multiresolution approximations and wavelet orthonormaI bases of
L2 (R).
Trans. Amer. Math. Soc., 315:69--87, September 1989.
[88]S. Mallat. A theory for multiresolution signal decomposition: the wavelet representation.
IEEE Trans. Patt. Recog. and Mach. Intell, 11(7):674-693, July 1989.
[89] S. Mallat, W.L. Hwang. Singularity detection and processing with wavelets. IEEE Trans.
Info. Theory, 38(2):617-643, March 1992.
[90] W.Martin and P.Flandrin. Wigner-Ville spectral analysis of non-stationary processes. IEEE
Trans. Acoust., Speech, and Signal Proc., 33(6):1461--1470, 1985.
[91]A. Mertins. Subspace approach for the design of cosine-modulated filter banks with
linear-phase prototype filter. IEEE Trans. Signal Processing, 46(10):2812--2818, 1998.
[92]J.M.Morris, H. Xie. Fast Algorithms for Generalized Discrete Gabor Expansion. Signal
Processing, 39:317—331,1994,
[93] T.Q. Nguyen, P.P. Vaidyanathan,. Two-Channel Perfect-Reconstruction FIR QMF Structures
Which Yield Linear-Phase Analysis and Synthesis Filters. IEEE Trans. Signal Processing,
37(5):676--690, 1995.
[94] M. Okuda,et al. Fast and Stable Least-Squares Approach for the Design of Linear Phase FIR
Filters. IEEE Trans. Signal Processing, 46(6):1485--1493, 1998.
[95] M. Porat, Y.Zeevi. Localized texture processing in vision: analysis and synthesis in
Gaborian space. IEEE Trans. Biomed Eng., 36(1):115--129, 1989.
[96] S. Qian, J. M. Morris. A fast algorithm for real joint time-frequence transformation of
time-varying signals. Electronics Let . Vol 26,pp537—539, 1990.
[97]S. Qian, D. Chen. Discrete Gabor Transform . IEEE Trans. Signal Proc., 41(7):2429--2438,
1993.
[98] K. Ramchandran, M. Vetterli. Best wavelet packet bases in a rate-distortion sense. IEEE
Trans. Image Proc., 2(2):160--175, 1993.
[99] T. A.Ramstad, et al. Cosine modulated analysis synthesis filter bank with critical sampling
and perfect reconstruction . In Proc. IEEE ICASSP PP1789—1792,1991
[100]N.J.Redding,et al. Efficient Calculation of Finite Gabor Transforms. IEEE Trans. Signal
Proc., 44(2):190—200, 1994.
[101]O. Rioul. Regular wavelets: A discrete-time approach. IEEE Trans. on Signal Proc.,
41(12):3572--3578, 1993.
[102]J. H. Rothweiler. Polyphase quadrature filters – a new subband coding technique. In Proc.
IEEE ICASSP PP1280—1283,1983
393
[103] A. M. Sayeed, D. L. Jones. Optimal kernels for nonstationary spectral estimation. IEEE
Transactions on Signal Processing, 43(2):478-491, 1995.
[104] G.D.T. Schuller, M.J.T. Smith. A new framework for modulated perfect reconstruction
filter banks. IEEE Trans. Signal Processing, 44(8):1941--1954, 1996.
[105] M. J. Shensa. The discrete wavelet transform: Wedding the (a) trous and Mallat algorithms.
IEEE Trans. Signal Proc., 40(10):2464--2482, 1992.
[106] M. J. T. Smith, T. P. Barnwell III. A procedure for designing exact reconstruction filter
bank for tree structured subband coders. Proc. IEEE IASSP pp27.1.1-27.1.4, 1984.
[107] M. J. T. Smith, T. P. Barnwell III. Exact reconstruction for tree-structured subband coders.
IEEE Trans. Acoust., Speech, and Signal Proc., 34(3):431-441, 1986.
[108] M.J.T. Smith, S.L. Eddins. Analysis/synthesis techniques for subband coding. IEEE Trans.
Acoust., Speech, Signal Processing, pages 1446--1456, 1990.
[109] A.K. Soman, P.P. Vaidyanathan, at al. Linear phase paraunitary filter banks: Theory,
factorizations and applications. IEEE Trans. Signal Processing, 41(12):3480--3496, 1993.
[110]M. G. Sun, et al. Efficient Computation of the Discrete Pseudo-Wigner Distribution. IEEE
Trans. Acoust., Speech, and Signal Proc., 37(11):1735--1742, 1989.
[111] P.P. Vaidyanathan. On power-complementary FIR filters. IEEE Trans. Circuits and Systems,
32:1308--1310, December 1985.
[112] P.P.Vaidyanathan. Quadrature mirror filter banks. M-band extensions and perfect
reconstruction techniques. IEEE ASSP Mag., 4(3):4--20, 1987.
[113] P.P.Vaidyanathan, P.Q. Hoang. Lattice structures for optimal design and robust
implementation of two-channel perfect reconstruction filter banks. IEEE Trans. Acoust.,
Speech, and Signal Proc., 36(1):81--94, 1988.
[114] P.P.Vaidyanathan. Multirate Digital Filters, Filter Banks, Polyphase Networks, and
Applications: A Tutorial. Proc. IEEE 78(1):56—93,1990.
[115]M. Vetterli. Filter banks allowing perfect reconstruction. Signal Proc., 10(3):219--244,
1986.
[116] M. Vctterli, C. Herley. Wavelets and filter banks. Theory and design. IEEE Trans. Signal
Proc., 40(9):2207--2232, 1992.
[117]G. K. Wallace. The JPEG still picture compression standard. Communications of the
ACM,34(4):30-44. 1991.
[118]J. Wexler,S. Raz. Discrete Gabor Expansions. Signal Prosessing,21:207—220,1990,
[119] M. V.Wickerhauser. Acoustic signal compression with wavelet packets. In C. K. Chui.
editor. Wavelets. A Tutorial in Theory and Applications. Academic Press, New York. 1992.
[120]E.P. Wigner. On the quantum correction for thermodynamic equilibrium. Phys. Rev.,
40:749-759, 1932.
[121]J. W. Woods, S. D. O'Neil. Sub-band coding of images. IEEE Trans. Acoust., Speech, and
Signal Proc., 34(5):1278--1288, 1986.
[122] G. W. Wornell, A.V. Oppenheim. Wavelet-based representations for a class of self similar
signals with application to fractal modulation. IEEE Trans. Info. Theory, 38(2):785--800,
394
1992.
[123] H. Xu, W. S. Lu, et al. Efficient iterative design method for cosine-modulated QMF banks.
IEEE Trans. Signal Processing, 44(7):1657--1668, 1996.
[124]J. Zak. Finite translation in solid state physics. Phys. Rev. Lett, Vol.19:pp1385—1397,1967
[125]Y. Zhao, L. Atlas et al. The use of cone-shaped kernels for generalized time-frequency
representations of non-stationary signals. IEEE Trans. on ASSP, 1990, 38(7):1084--1091
[126] M. Zibulski, V.Segalescu, et al. Frame analysis of irregular periodic sampling of signals
and their derivatives. J. of Fourier. Analysis and Appl., 42:453-471, 1996.
[127] M. Zibulski, Y.Zeevi. Frame analysis of the discrete Gabor-scheme analysis. IEEE: Trans.
Signal Proc., 42(4):942--945. 1994.
[128] M. Zibulski, Y.Zeevi. Oversampling in the Gabor -scheme . IEEE: Trans. Signal Proc.,
41(8):2679—2687, 1993.
[129] R. Ansari, C. Guillemot et al. Wavelet Construction Using Lagrange Halfband Filters.
IEEE Trans. CAS, vol.38, p1116-1118,1990.
[130] T. A. Ramstad, S. O. Aase et al. Subband Compression of Images: Pricnciples and
Examples. Elsevier Science B.V, 1995
[131] A. Witkin. Scale space filtering. In Proc. Int. Joint. Conf. ArtificiaI Intell., Espoo. Finland,
June 1983.
[132]H.J.Nussbaumer.
Pseudo
QMF
filter
bank.
IBM
Tech.
Disclosure
Bulletin,vol.24,p3081-3087,1981
[133] H. G. Feichtinger et al. Gabor Analysis and Algorithms:Theory and Applications.
Birkhaoser, Boston,1998
395
Download