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Figure 8-1 (p. 491) Adaptive channel equalizer.

Figure 8-1 (p. 491) Adaptive channel equalizer. Figure 8-2 (p. 493) Equalizer performance with the LMS algorithm. Figure 8-3 (p. 493) Equalizer performance with the RLS algorithm. Figure 8-4 (p. 500) Weight for conventional least-squares cost function.

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Figure 8-1 (p. 491) Adaptive channel equalizer.

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  1. Figure 8-1 (p. 491)Adaptive channel equalizer.

  2. Figure 8-2 (p. 493)Equalizer performance with the LMS algorithm.

  3. Figure 8-3 (p. 493) Equalizer performance with the RLS algorithm.

  4. Figure 8-4 (p. 500)Weight for conventional least-squares cost function.

  5. Figure 8-5 (p. 501)Weight for modified least-squares cost function used for the Fast EDS algorithm.

  6. Figure 8-6 (p. 504)Channel Equalization with the Fast EDS algorithm.

  7. Figure 8-7 (p. 504)Comparison of different algorithms for channel equalization.

  8. Figure 8-8 (p. 505)Comparison of different EDS based algorithms for channel equalization.

  9. Figure 8-9 (p. 506)ADPCMP (a) transmitter; (b) receiver.

  10. Figure 8-10 (p. 507)Magnitude truncation quantizer.

  11. Figure 8-11 (p. 508)ADPCM using the RLS algorithm; (a) input signal; (b) directly quantized input signal to 4 bits resolution; (c) recovered signal after ADPCM.

  12. Figure 8-12 (p. 510)Weight vector update for a 2-D adaptive algorithm.

  13. Figure 8-13 (p. 511)2-D space for FEDS algorithm and path of processing.

  14. Figure 8-14 (p. 513)2-D line enhancer for image restoration.

  15. Figure 8-15 (p. 514)Image restoration by 2-D linear prediction: (a) original image; (b) image corrupted by 1.8 SNR with Gaussian noise; (c) image restored by 2-D LMS; (d) image restored by 2-D FEDS.

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