Scalar and Vector Quantization

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$Microsoft PowerPoint - 05_FTP.ppt [\254\333\256e\274\322\246\241]$

Vector Quantization Vector quantization groups source data into vectors At both the encoder and decoder, we have a set of vectors called the codebook. Each code-vector in the codebook is assigned a binary index. 48/55
Why Vector Quantization (1/2)? Correlated multi-dimensional data have limited valid ranges useless useless 49/55
Page 1 and 2: Scalar and Vector Quantization Nati
Page 3 and 4: The Quantization Problem Encoder m
Page 5 and 6: Quantization Function A quantizer
Page 7 and 8: Quantization Error If the quantiza
Page 9 and 10: Quantized Bitrate with VLC For VLC
Page 11 and 12: Uniform Quantizer All intervals ar
Page 13 and 14: Uniform Quantization of Uniform Sou
Page 15 and 16: The SNR of Quantization For n-bit
Page 17 and 18: Quantization of Non-uniform Sources
Page 19 and 20: Solving for Optimum Step Sizes Giv
Page 21 and 22: Variance Mismatch Effects (1/2) Ef
Page 23 and 24: Distribution Mismatch Effects Give
Page 25 and 26: Forward Adaptive Quantization (FAQ)
Page 27 and 28: Speech Quantization Example (2/2)
Page 29 and 30: Backward Adaptive Quantization (BAQ
Page 31 and 32: Output Levels of 3-bit Jayant Quant
Page 33 and 34: Picking Jayant Multipliers We must
Page 35 and 36: Jayant Quantizer Performance To av
Page 37 and 38: pdf-optimized Quantization Given f
Page 39 and 40: Lloyd-Max Algorithm (2/3) Begin wi
Page 41 and 42: Example: pdf-Optimized Quantizers
Page 43 and 44: Companded Quantization (CQ) In com
Page 45 and 46: Example: CQ (2/2) The expandar fun
Page 47: Entropy Coding of Quantizer Outputs
Page 51 and 52: Vector Quantization Rule Vector qu
Page 53 and 54: The Linde-Buzo-Gray Algorithm 1. St
Page 55: Impact of Training Set The trainin

Scalar and Vector Quantization

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