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File list
Date Name Thumbnail Size Description Versions
03:30, 29 July 2009 Amrnb highpass.gif (file) 3 KB Another correction 4
05:28, 30 September 2007 Amrnb lpccoeff.gif (file) 2 KB AMR-NB: Calculation of the LPC coefficients 2
12:56, 24 September 2007 Amrnb pftiltsum.gif (file) 2 KB AMR-NB: tilt compensation filtering to obtain post-filtered speech vector 1
12:43, 24 September 2007 Amrnb mu.gif (file) 461 bytes AMR-NB: mu used for tilt compensation filter 1
12:39, 24 September 2007 Amrnb fmntfilt.gif (file) 2 KB AMR-NB: Output of filtering ^s(n) through H_f(z) = ^A(z/gamma_n) / ^A(z/gamma_d) 1
12:35, 24 September 2007 Amrnb residual.gif (file) 1 KB AMR-NB: residual vector used during post-filtering 3
09:47, 21 September 2007 Amrnb gainscalspch.gif (file) 969 bytes AMR-NB: gain-scaled speech samples 1
09:46, 21 September 2007 Amrnb gainscalfacwtd.gif (file) 1 KB AMR-NB: weighted gain scaling factor used during post-filtering 1
09:44, 21 September 2007 Amrnb gainscalfac.gif (file) 2 KB AMR-NB: gain scaling factor used during post-filtering 1
09:42, 21 September 2007 Amrnb r h.gif (file) 2 KB AMR-NB: r_h is used to find the first relection factor, k_1' 1
09:37, 21 September 2007 Amrnb reffac.gif (file) 816 bytes AMR-NB: first reflection factor used for tilt compensation post-filter coefficient, mu 1
09:28, 21 September 2007 Amrnb pftilt.gif (file) 675 bytes AMR-NB: tilt compensation post-filter 1
09:25, 21 September 2007 Amrnb pfformant.gif (file) 1 KB AMR-NB: formant post-filter 1
11:02, 17 September 2007 Amrnb pitchvecemph.gif (file) 5 KB AMR-NB: excitation vector with emphasised pitch vector contribution 1
11:00, 17 September 2007 Amrnb gainscalexc.gif (file) 740 bytes AMR-NB: gain-scaled emphasised excitation vector 1
10:41, 17 September 2007 Amrnb gainfac.gif (file) 2 KB AMR-NB: gain scaling factor for the emphasised excitation 1
18:53, 16 September 2007 Amrnb circconv.gif (file) 2 KB AMR-NB: circular convolution of the fixed vector with an impulse response for anti-sparseness filtering 1
08:48, 15 September 2007 Amrnb fixedgain.gif (file) 546 bytes AMR-NB: calculate quantified fixed gain 1
06:50, 15 September 2007 Amrnb fixvecpitshp.gif (file) 1 KB AMR-NB: fixed vector pitch sharpening 1
06:00, 15 September 2007 Amrnb lspinterpq3-2.gif (file) 1 KB AMR-NB: linear interpolation of LSP vector ^q at subframe 3 1
05:59, 15 September 2007 Amrnb lspinterpq2.gif (file) 1 KB AMR-NB: linear interpolation of LSP vector ^q at subframe 2 1
05:58, 15 September 2007 Amrnb lspinterpq1-2.gif (file) 1 KB AMR-NB: linear interpolation of LSP vector ^q at subframe 1 1
05:56, 15 September 2007 Amrnb lspinterpq3-1.gif (file) 1 KB AMR-NB: linear interpolation of LSP vector ^q at subframe 3 1
05:54, 15 September 2007 Amrnb lspinterpq1-1.gif (file) 1 KB AMR-NB: linear interpolation of LSP vector ^q at subframe 1 1
05:50, 15 September 2007 Amrnb lsfmeanrem2.gif (file) 2 KB AMR-NB: mean-removed LSF vector ; z_j(n)[i] : the ith coefficient of the mean-removed LSF vector at the jth subframe ; r_j(n)[i] : the ith coefficient of the prediction residual vector of frame n at the jth subframe ; pred_fac[i] : the ith coefficient of 1
19:38, 14 September 2007 Amrnb lspvec.gif (file) 1 KB AMR-NB: LSP vectors ; q_k[i] : the ith coefficient of the kth line spectral pair (LSP) in the cosine domain ; k : the two lsf vectors give the LSP vectors q2, q4 at the 2nd and 4th subframes; k = 2*j ; f_j[i] : ith coefficient of the jth LSF vector; [0,4 1
19:32, 14 September 2007 Amrnb lsfvec.gif (file) 831 bytes AMR-NB: add mean to lsf vectors ; lsf_mean_m : a table of the means of the LSF coefficients ; m : the number of indices parsed according to the mode ; f_j : the LSF vectors 1
16:34, 14 September 2007 Amrnb lsfmeanrem.gif (file) 1 KB AMR-NB: find the mean-removed LSF vector z_j(n) : a mean-removed LSF vector from the current frame r_j(n) : prediction residual vector of frame n at subframe j ^r_2(n-1) : the quantified 2nd residual vector in the previous frame 1
12:28, 14 September 2007 Amrnb smoothfac.gif (file) 2 KB AMR-NB: fixed gain smoothing factor k_m - fixed gain smoothing factor K_1 - 0.4 K_2 - 0.25 diff_m - difference measure at subframe m 1
12:25, 14 September 2007 Amrnb meangc.gif (file) 1 KB AMR-NB: averaged fixed gain used for fixed gain smoothing \bar{g}(m) - mean fixed gain at subframe m ^g_c(k) - quantified fixed gain at subframe k 1
12:22, 14 September 2007 Amrnb lspsmooth.gif (file) 1 KB AMR-NB: averaged LSP vector used for fixed gain smoothing \bar{q}(n) - averaged LSP vector at frame n \hat{q}_4(n) - quantified LSP vector for the 4th subframe at frame n 1
12:18, 14 September 2007 Amrnb lspdiff.gif (file) 2 KB AMR-NB: difference measure for adaptive fixed gain smoothing j - loops over LSPs m - loops over subframes \bar{q} - averaged LSP vector \hat{q}_m - quantified LSP vector at subframe m 1
12:09, 14 September 2007 Amrnb gcsmooth.gif (file) 955 bytes AMR-NB: fixed gain smoothing ^g_c - quantified fixed gain k_m - smoothing factor \bar{g_c} - averaged fixed gain 1
08:10, 12 September 2007 Amrnb meaniner.gif (file) 2 KB AMR-NB: calculated mean innovation (fixed) energy E_I - calculated mean innovation (fixed) energy N - subframe size 40 c(n) - fixed codebook vector 1
07:07, 12 September 2007 Amrnb predener.gif (file) 1 KB AMR-NB: predicted energy \tilde{E} - predicted energy b = [0.68, 0.58, 0.34, 0.19] - 4-tap MA prediction coefficients ^R(k) - quantified prediction errors at subframe k 1
06:51, 12 September 2007 Amrnb fixedgainpred.gif (file) 942 bytes AMR-NB: fixed gain prediction g_c' - predicted fixed gain \tilde{E} - predicted energy \bar{E} - desired mean innovation (fixed) energy (pre-specified, differs with mode) E_I - actual mean innovation (fixed) energy (calculated) 1
16:30, 11 September 2007 Amrnb pitchvector.gif (file) 3 KB Finding the adaptive code book vector v(n) by interpolating the past excitation, u(n), at the pitch lag, k, using the b60 FIR filter based on a Hamming windowed sinc function truncated at ±59 and zero-padded at ±60. (AMR-NB) 1
16:18, 11 September 2007 Amrnb excitation.gif (file) 1 KB AMR-NB how to construct the excitation vector u(n) - excitation vector ^g_p - quantified pitch gain ^g_c - quantified fixed code book gain v(n) - adaptive (pitch) code book vector c(n) - fixed code book vector 1
16:12, 11 September 2007 Amrnb synthfilter.gif (file) 1 KB AMR-NB synthesis filter ^s(n) - speech samples ^u'(n) - gain-scaled emphasized excitation vector ^a_i - interpolated linear predictive coding coefficients 1
08:32, 10 September 2007 Amrnb firb60.png (file) 3 KB Finding the adaptive code book vector v(n) by interpolating the past excitation, u(n), at the pitch lag, k, using the b60 FIR filter based on a Hamming windowed sinc function truncated at ±59 and zero-padded at ±60. (AMR-NB) 2
19:21, 20 May 2007 H264 direct temporal 2.png (file) 128 KB This image depicts the result of the temporal direct prediction motion vector calculation. The forward and backward motion vectors have been calculated from the motion vector coded for the colocated macroblock in frame P2. 2
19:20, 20 May 2007 H264 direct temporal 1.png (file) 118 KB This image shows a predicted frame sequence PbbbP and considers a macroblock in the first b-frame that is to be coded using the temporal direct prediction mode. Its motion vectors will be calculated from the motion vector of the colocated block from the f 2
18:58, 19 May 2007 H264 direct temporal 4.png (file) 33 KB Equation to find the backward motion vector from the motion vector of the colocated macroblock in the first L1 reference frame. LaTeX notation: {MV}_{backward} = \frac { {MV}_{L1}^{collocated} * \left ( poc \left ( cur \right ) - poc \left ( L1 \right ) 2
18:57, 19 May 2007 H264 direct temporal 3.png (file) 34 KB Equation to find the forward motion vector from the motion vector of the colocated macroblock in the first L1 reference frame. LaTeX notation: {MV}_{forward} = \frac { {MV}_{L1}^{collocated} * \left ( poc \left ( cur \right ) - poc \left ( L0 \right ) \ 2