lpsamples

lpsamples - Linear Prediction Examples Jerry Gibson May 9,...

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Linear Prediction Examples Jerry Gibson May 9, 2011 LP equation ] [ ] [ 0 n e i n s a n i i where s[n] : Input speech samples e[n]: Prediction error 1 0 a 1
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Frame No 23 MSE 1.0e+008 * [4.3184 1.1113 0.6974 0.6958 0.5091 0.4801 0.4155 0.3038 0.2818 0.2818 0.2817] Autocorrelation [1.0000 0.8618 0.5856 0.2790 -0.0642 -0.4065 -0.6843 -0.7770 -0.7016 -0.5629 -0.3365] Reflection coeffs 0.8618 -0.6103 -0.0480 -0.5180 -0.2387 -0.3669 0.5184 -0.2690 -0.0139 0.0174 LP coefficients 1.0000 -0.8618 1.0000 -1.3877 0.6103 1.0000 -1.3584 0.5437 0.0480 1.0000 -1.3336 0.8254 -0.6557 0.5180 1.0000 -1.2099 0.6688 -0.4587 0.1997 0.2387 1.0000 -1.1223 0.7421 -0.6270 0.4451 -0.2052 0.3669 1.0000 -1.3125 0.8485 -0.8578 0.7701 -0.5899 0.9487 -0.5184 1.0000 -1.4520 1.1037 -1.0165 0.9773 -0.8207 1.1770 -0.8715 0.2690 1.0000 -1.4482 1.0916 -1.0001 0.9659 -0.8071 1.1629 -0.8561 0.2489 0.0139 1.0000 -1.4485 1.0873 -0.9852 0.9457 -0.7931 1.1461 -0.8388 0.2299 0.0390 -0.0174 2
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0 500 1000 1500 2000 2500 3000 3500 4000 50 60 70 80 90 100 110 Frequency (Hz) Envelope (dB) 3680 3700 3720 3740 3760 3780 3800 3820 3840 -1 0 1 x 10 4 Samples Amplitude 3
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Frame No 45 MSE 1.0e+009 * [2.5460 0.7921 0.1698 0.1495 0.0981 0.0955 0.0870 0.0784 0.0783 0.0664 0.0640] Autocorrelation
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This note was uploaded on 12/29/2011 for the course ECE 242 taught by Professor Gibson,j during the Fall '08 term at UCSB.

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lpsamples - Linear Prediction Examples Jerry Gibson May 9,...

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