Using matlab to achieve mixed excitation linear prediction

MELP_m
......\decode
......\......\codebook_fmcq1.m
......\......\codebook_fmcq2.m
......\......\coeff.m
......\......\dsp.mat
......\......\d_ase.m
......\......\d_disp.m
......\......\d_ga.m
......\......\d_gains.m
......\......\d_init.m
......\......\d_k1.m
......\......\d_lps.m
......\......\d_lsf.m
......\......\d_mix.m
......\......\d_pdfs.m
......\......\melp_decoder.m
......\......\melp_lsf2lpc.m
......\......\noise_est.m
......\......\noise_sup.m
......\......\signals.mat
......\......\stage.m
......\encode
......\......\codebook_fmcq1.m
......\......\codebook_fmcq2.m
......\......\coeff.m
......\......\double_ck.m
......\......\double_ver.m
......\......\dsp.wav
......\......\d_lps.m
......\......\d_lsf.m
......\......\find_harm.m
......\......\fpr.m
......\......\intpitch.m
......\......\lpc_residual.m
......\......\lsf_clmp.m
......\......\melp_5b.m
......\......\melp_APU.m
......\......\melp_bpva.m
......\......\melp_encode.m
......\......\melp_FMCQ.m
......\......\melp_gain.m
......\......\melp_init.m
......\......\melp_lpc.m
......\......\melp_lpc2lsf.m
......\......\melp_lsf2lpc.m
......\......\melp_msvq.m
......\......\melp_Qgain.m
......\......\melp_Qpitch.m
......\......\pitch2.m
......\......\pitch3.m
......\......\stage.m

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