Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 2 potx
... 1 1 1 1 1 1 1 1 1.750 1.367 0.987 0.419 -0 .25 0 -0.919 -1.487 -1.867 1.500 0.599 -0.353 -1 .25 2 -1.500 -0.869 -1.487 1. 522 1 .25 0 -0. 125 -1.133 -1.051 0 .25 0 1 .25 8 0.353 -1.081 1.000 -0.653 -1.000 0 .27 0 1.000 -0 .27 0 0.633 0.653 0.750 -0.890 -0 .28 0 0.769 -0 .25 0 -0.589 -1.000 -0.316 0.500 -0.816 0.353 0.1 62 -0.500 0.544 0.780 0.108 0 .25 0 ... (bits/coefficient) y i 2 3 4...
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... TAP(C) 0.4686479 0. 124 64 52 -0.09987885 -0.03464143 0.050881 62 0.01004 621 -0. 027 55195 -0.0006504669 0.013540 12 -0.0 022 73145 -0.0051 829 78 0.0 023 2 926 6 16 TAP(C) 0.4 721 122 0.1178666 -0.09 929 55 -0. 026 2756 0.04647684 0.00199115 -0. 020 48751 0.006 525 666 24 ... TAP 0.0084943 724 7 823 317 -0.00009961781687347404 -0.0087950471 324 028 01 0.0007087795490845 02 0.0 122...
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... 7.1 720 0.0567 0. 025 8 0.00 42 0.0196 0.0019 0.0045 0.0 020 " 7.1611 0.0589 0. 026 2 0.0043 0.0196 0.0 020 0.0047 0.0 020 0. 121 1 0.1881 0.0136 0.00 32 0.00 32 0.00 12 0.0004 0.00 02 0.0567 0.1987 0.0 025 0.0014 0.0019 0.0061 0.0001 0.0001 0.0589 0.1956 0.0 028 0.0018 0.0 020 0.0064 0.0001 0.0001 0. 028 0 0.1511 0.0569 0.0050 0.0016 0.0065 0.0001 0.0000 0.0014 0.0567 0.064...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 8 potx
... BER for narrow-band interference, SIR — —15 dB, (b) BER for time- localized wide-band Gaussian jammer, 10% duty cycle, and SIR = —15 dB. 6 .2. MULTIRESOLUTION SIGNAL DECOMPOSITION ... the DCT. The signal used in Fig. 5 .28 (b) is the narrow-band Gaussian signal Si plus time-localized white Gaussian noise $2 with 10% duty cycle and power ratio (81/ 82...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 1 doc
... Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets Second Edition All N. Akansu and Richard A. Haddad New Jersey Institute ... Hsing Bell Communications Research Morristown, NJ Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets Ali N. Akansu and Richard A. Haddad New Jersey Institute of ... then The...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 3 pptx
... chosen N x N orthonormal matrix and J is the N x N counter identity matrix This selection of P satisfies the feasibility requirements of Eqs. (2. 221 ) and (2. 222 ). In this first stage, ... vector y. 3 ,2. BANDPASS AND MODULATED SIGNALS 129 3 .2. 1 Integer-Band Sampling Suppose we have a signal with spectrum X(eJ u ] as shown in Fig. 3.14(b). Let the...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 4 docx
... THEORY OF SUBBAND DECOMPOSITION 3.6.1 The Two-Band Lossless Lattice To fix ideas, we consider the two-band case; let where A' k is a constant 2x2 orthogonal matrix, and This structure ... turn reveals the connection between block transforms, lapped transforms, and subbands. 3,5.1 The M-Band Filter Bank Structure The M-band QMF structure is shown...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 5 pps
... this section is Viscito and Allebach (1991) and supported also by Karlsson and Vetterli (1990). 3.9.1 2D Transforms and Notation A 2D signal x(ni,n< ;2} is defined on a rectangular ... HQ(Z) and H\(z) by the all-pass lattice structures as given by Eqs. (3 .24 1) and (3 .24 2) and design the constituent all-pass filters using standard tables (Ga...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 9 pptx
... 0961046 -0.0011 522 248 52 •0.005194 524 026 0.0113 624 5 924 4 0.01886 723 5378 -0.05746 423 4 429 -0.0396 526 48517 0 .29 3667390895 0.553 126 4 525 62 0.307157 326 198 -0.0471 127 38865 -0.068038 127 051 0. 027 813640153 0.017735837438 -0.010756318517 -0.0040010 128 86 0.0 026 526 65946 0.000895594 529 -0.000416500571 -0.000183 829 769 0.000044080354 0.000 022 0 828 57 -0.0000 023 049...
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Multiresolution Signal Decomposition Transforms, Subbands, and Wavelets phần 10 pdf
... 0.95. Compare this with the 6 x 6 DCT. (2. 20) Derive Eq. (2. 219). (2. 21) Refer to Eqs. (2. 119) and (2. 121 ). Derive the matrix S in Section 2. 3.1 arid use this to show that the ... Wavelet, 422 signal decorrelation, 22 Singular Value Decomposition (SVD), 26 sinusoidal, 42 Smith-Barnwell PR-CQFs, 29 0 spectral flatness measure, 41 Subband Cod...
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