Basic Theory of Digital Signal Processing

Digital signal processing theory and technique, as a very important area in science and engineering, has developed very rapidly in the last thirty years [1]–[15]. This development has benefited from progress in both computer technology and the micro-industry. In fact, 30 years ago, digital computers and the related hardware were expensive for industrial and commercial applications, and therefore their application was limited to the non realtime calculation and control of science and engineering, but the rapid growth of the micro-industry substantially changed that. The theory of digital signal processing is based on traditional signal processing theory; the early research work began in the late 1940s. Today, the theory and application of digital signal processing is deeply involved in many science and engineering areas, including civil and military fields [16]–[25].

[1]  Jae S. Lim,et al.  Two-Dimensional Signal and Image Processing , 1989 .

[2]  T. W. Frison,et al.  Obtaining order in a world of chaos [signal processing] , 1998, IEEE Signal Process. Mag..

[3]  Panos E. Papamichalis,et al.  Digital signal processing applications with the TMS320 family; Vol. 1 , 1987 .

[4]  L. E. Franks,et al.  Signal theory , 1969 .

[5]  R. Bracewell.  The Fourier Transform and Its Applications , 1966 .

[6]  B. T. Murphy.  Microcomputers: trends, technologies, and design strategies , 1983 .

[7]  Ronald N. Bracewell,et al.  Aspects of the Hartley transform , 1994, Proc. IEEE.

[8]  Don H. Johnson,et al.  Gauss and the history of the fast Fourier transform , 1984, IEEE ASSP Magazine.

[9]  S.M. Kay,et al.  Digital signal processing for sonar , 1981, Proceedings of the IEEE.

[10]  Norbert Wiener,et al.  Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications , 1949 .

[11]  O. Rioul,et al.  Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.

[12]  E. D. Lowe,et al.  A performance comparison of four noise background normalization schemes proposed for signal detection systems , 1984 .

[13]  E. O. Brigham,et al.  The Fast Fourier Transform , 1967, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Alexander D. Poularikas,et al.  The handbook of formulas and tables for signal processing , 1998 .

[15]  Norbert Wiener,et al.  Extrapolation, Interpolation, and Smoothing of Stationary Time Series , 1964 .

[16]  R. Viswanathan,et al.  An introduction to statistical signal processing with applications , 1979 .

[17]  Stanley Mazor,et al.  The history of the microcomputer-invention and evolution , 1995, Proc. IEEE.

[18]  John G. Proakis,et al.  Digital Communications , 1983 .

[19]  C. H. Chen,et al.  Signal processing handbook , 1988 .

[20]  Michael F. Barnsley,et al.  Fractals everywhere , 1988 .

[21]  Alan V. Oppenheim,et al.  Applications of digital signal processing , 1978 .

[22]  A. Papoulis.  Signal Analysis , 1977 .

[23]  T. Kailath,et al.  VLSI and Modern Signal Processing , 1984 .

[24]  Lindley,et al.  Practical Image Processing in C , 1994 .

[25]  J. Tukey,et al.  An algorithm for the machine calculation of complex Fourier series , 1965 .

[26]  Fuyun Ling,et al.  Advanced Digital Signal Processing , 1992 .

[27]  Bede Liu,et al.  A new hardware realization of digital filters , 1974 .

[28]  G. Turin,et al.  An introduction to matched filters , 1960, IRE Trans. Inf. Theory.

[29]  Vijay K. Madisetti,et al.  The Digital Signal Processing Handbook , 1997 .

[30]  P. M. Grant,et al.  Digital communications. 3rd ed , 2009 .

[31]  Richard J. Higgins,et al.  Digital signal processing in VLSI , 1990 .

[32]  Mark J. Shensa,et al.  The discrete wavelet transform: wedding the a trous and Mallat algorithms , 1992, IEEE Trans. Signal Process..

[33]  Douglas F. Elliott,et al.  Handbook of Digital Signal Processing: Engineering Applications , 1988 .

[34]  Walter J. Price.  A benchmark tutorial , 1989, IEEE Micro.

[35]  Julius S. Bendat,et al.  Engineering Applications of Correlation and Spectral Analysis , 1980 .