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Facuty of Electronics & Telecommunications, HCMUNS
BÀI 3:
Format
(Channel coding)
Facuty of Electronics & Telecommunications, HCMUNS
Đặng Lê Khoa
Email:

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Facuty of Electronics & Telecommunications, HCMUNS
2006-01-26 Lecture 2 3
Facuty of Electronics & Telecommunications, HCMUNS
Quantization error …
• Quantizing error:
– Granular or linear errors happen for inputs within the dynamic
range of quantizer
– Saturation errors happen for inputs outside the dynamic range
of quantizer
• Saturation errors are larger than linear errors
• Saturation errors can be avoided by proper tuning of AGC
• Quantization noise variance:
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2006-01-26 Lecture 2 4
Facuty of Electronics & Telecommunications, HCMUNS
Uniform and non-uniform quant.
– Uniform (linear) quantizing:
– No assumption about amplitude statistics and correlation
properties of the input.
– Not using the user-related specifications
– Robust to small changes in input statistic by not finely tuned to a
specific set of input parameters
– Simply implemented
• Application of linear quantizer:
– Signal processing, graphic and display applications, process
control applications
– Non-uniform quantizing:
– Using the input statistics to tune quantizer parameters
– Larger SNR than uniform quantizing with same number of levels
– Non-uniform intervals in the dynamic range with same quantization
noise variance
• Application of non-uniform quantizer:
– Commonly used for speech
2006-01-26 Lecture 2 5
Facuty of Electronics & Telecommunications, HCMUNS
Non-uniform quantization
• It is done by uniformly quantizing the “compressed” signal.
• At the receiver, an inverse compression characteristic, called “expansion” is
employed to avoid signal distortion.
compression+expansion companding
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Compress Qauntize
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Transmitter Receiver

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