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Sampling & Pulse Modulation Lecture Notes, Summaries of Electrical Engineering

A set of lecture notes on Sampling & Pulse Modulation in Digital Communications. It covers the calculation of Signal to Quantization Noise Ratio (SNqR) of a uniformly quantized signal, assuming linear quantization, zero mean signal, and uniform signal PDF. It also explains the calculation of mean square signal after quantization, quantization error, and mean square quantization error. The document concludes with the 6dB rule, which states that an additional 6dB improvement in the SNqR is obtained for each bit added to the PCM word.

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2022/2023

Uploaded on 03/14/2023

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Download Sampling & Pulse Modulation Lecture Notes and more Summaries Electrical Engineering in PDF only on Docsity! Sampling & Pulse Modulation Lecture Notes in โ€œDigital Communicationsโ€ by: Dr. Mohammed AlMahamdy Electrical Engineering | University of Anbar -17- 1.6.5 Signal to Quantization Noise Ratio It is important to consider the quantization noise in the overall system quality. To calculate SNqR of a uniformly quantized signal, it is suitable to make the following assumptions: (1) Linear quantization (i.e. equal increments between quantization levels). (2) Zero mean signal (i.e. symmetrical PDF around the 0 Volt). (3) Uniform signal PDF (i.e. all signal levels equally likely). Let: ๐ฟ be the number of the levels of the quantizer, ๐‘™ be the number of bits per a PCM word (๐ฟ = 2๐‘™), and ๐‘‰๐‘ be the peak design level of the quantizer. The quantization interval ๐‘ž becomes: ๐‘ž = 2๐‘‰๐‘ ๐ฟ โˆ’ 1 The PDF of the allowed levels is given by: ๐‘(๐‘ฃ) = โˆ‘ 1 ๐ฟ ๐›ฟ (๐‘ฃ โˆ’ ๐‘ž๐‘˜ 2 ) ๐ฟ ๐‘˜=โˆ’๐ฟ ๐‘˜=odd The mean square signal after quantization is: ๐‘ฃ2ฬ…ฬ… ฬ… = โˆซ ๐‘ฃ2๐‘(๐‘ฃ)๐‘‘๐‘ฃ โˆž โˆ’โˆž = 2 ๐ฟ [โˆซ ๐‘ฃ2๐›ฟ (๐‘ฃ โˆ’ ๐‘ž 2 ) ๐‘‘๐‘ฃ โˆž 0 +โˆซ ๐‘ฃ2๐›ฟ (๐‘ฃ โˆ’ 3๐‘ž 2 )๐‘‘๐‘ฃ โˆž 0 +โ‹ฏ] = 2 ๐ฟ ( ๐‘ž 2 ) 2 [12 + 32 + 52 +โ‹ฏ+ (๐ฟ โˆ’ 1)2] = 2 ๐ฟ ( ๐‘ž 2 ) 2 [ ๐ฟ(๐ฟ โˆ’ 1)(๐ฟ + 1) 6 ] โˆด ๐‘ฃ2ฬ…ฬ… ฬ… = ๐‘ž2 12 (๐ฟ2 โˆ’ 1) Lecture Notes in โ€œDigital Communicationsโ€ Sampling & Pulse Modulation Electrical Engineering | University of Anbar by: Dr. Mohammed AlMahamdy -18- Denoting the quantization error (i.e. the difference between the unquantized and quantized signals) as ํœ€๐‘ž, then the PDF of ํœ€๐‘ž is uniform: ๐‘(ํœ€๐‘ž) = { 1 ๐‘ž โˆ’ ๐‘ž 2 โ‰ค ํœ€๐‘ž < ๐‘ž 2 0 elsewhere The mean square quantization error (noise) is: ํœ€๐‘ž2ฬ…ฬ… ฬ… = โˆซ ํœ€๐‘ž 2 ๐‘(ํœ€๐‘ž) ๐‘‘ํœ€๐‘ž ๐‘ž/2 โˆ’๐‘ž/2 = ๐‘ž2 12 Therefore, the average SNqR will be: SNqR = ๐‘ฃ2ฬ…ฬ… ฬ…/ํœ€๐‘ž2ฬ…ฬ… ฬ… = ๐ฟ2 โˆ’ 1 Since the peak signal level is ๐‘ž๐ฟ 2 Volts then the peak SNqR will be: SNqR = (๐ฟ๐‘ž 2โ„ )2 ํœ€๐‘ž2ฬ…ฬ… ฬ… = 3๐ฟ2 We may express it in decibels as SNqR = 6.02๐‘™ + ๐›ผ Where ๐›ผ = 4.77 for the peak SNqR, and ๐›ผ = 0 for the average SNqR. This equation is called the 6dB rule, and it points out that: an additional 6dB improvement in the SNqR is obtained for each bit added to the PCM word.
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