Digital Communication I: Modulation and Coding Course-Lecture 13 ppt

Digital Communication I: Modulation and Coding Course-Lecture 13 ppt

Digital Communication I: Modulation and Coding Course-Lecture 13 ppt

... R k n R c       = )( cB pfP = Digital Communications I: Modulation and Coding Course Term 3 - 2008 Catharina Logothetis Lecture 13 Lecture 13 20 Design example of coded systems …  Choose a modulation/ coding scheme ... Sample Detect C h a n n e l Digital modulation Digital demodulation Lecture 13 29 Course summary – cont’d  In details, we studies: 1. Basic de...

Ngày tải lên: 30/03/2014, 10:20

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Digital Communication I: Modulation and Coding Course-Lecture 2 potx

Digital Communication I: Modulation and Coding Course-Lecture 2 potx

... immunity  Implementation cost and complexity Digital Communications I: Modulation and Coding Course Term 3 – 2008 Catharina Logothetis Lecture 2 Lecture 2 20 Spectra of PCM waveforms Lecture 2 21 M-ary pulse modulation  M-ary ... features of digital communication systems  Some basic concepts and definitions such as as signal classification, spectral density, random p...

Ngày tải lên: 23/03/2014, 10:21

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Digital Communication I: Modulation and Coding Course-Lecture 5 potx

Digital Communication I: Modulation and Coding Course-Lecture 5 potx

... iEE sii s s ski Ed ki Ed 2 2 min , = ≠ = Digital Communications I: Modulation and Coding Course Term 3 - 2008 Catharina Logothetis Lecture 5 Lecture 5 20 Eb/No figure of merit in digital communications  SNR or ... noise vector are i.i.d Gaussian random variables with zero-mean and variance . The noise vector pdf is  The elements of observed vector are independent Gaussian...

Ngày tải lên: 23/03/2014, 10:21

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Digital Communication I: Modulation and Coding Course-Lecture 10 potx

Digital Communication I: Modulation and Coding Course-Lecture 10 potx

... code 0/11 0/10 0/01 1/11 1/01 1/00 0/00 0/11 0/10 0/01 1/11 1/01 1/00 0/00 0/11 0/10 0/01 1/11 1/01 1/00 0/00 0/11 0/10 0/01 1/11 1/01 1/00 0/00 0/11 0/10 0/01 1/11 1/01 1/00 0/00 6 t 1 t 2 t 3 t 4 t 5 t 1 0 1 0 0 11 10 00 10 11 Input bits Output bits Tail bits Digital Communications I: Modulation and Coding Course Period 3 - 2007 Catharina Logothetis Lecture 10 Lecture 10 20 Trelli...

Ngày tải lên: 30/03/2014, 10:20

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Digital Communications I: Modulation and Coding Course

Digital Communications I: Modulation and Coding Course

... Digital communications I: Modulation and Coding Course Period 3 - 2007 Catharina Logothetis Lecture 6 Lecture 6 10 The ... with ISI: Binary-PAM, SRRQ pulse  Non-ideal channel and no noise )(7.0)()( Tttth c −+= δδ Lecture 6 24 Example of eye pattern with ISI: Binary-PAM, SRRQ pulse …  AWGN (Eb/N0=20 dB) and ISI )(7.0)()( ... noise and no ISI) Lecture 6 17 Example of eye patte...

Ngày tải lên: 18/10/2013, 06:15

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Modulation and coding course- lecture 10

Modulation and coding course- lecture 10

... Digital Communications I: Modulation and Coding Course Period 3 - 2007 Catharina Logothetis Lecture 10 Lecture 10 10 Effective code rate  Initialize the memory before encoding the ... bits Lecture 10 2 Last time, we talked about:  Channel coding  Linear block codes  The error detection and correction capability  Encoding and decoding  Hamming codes  Cyclic codes Lecture...

Ngày tải lên: 25/10/2013, 06:15

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Modulation and coding course- lecture 9

Modulation and coding course- lecture 9

... error detection and correction codes Lecture 9 7 Why using error correction coding?  Error performance vs. bandwidth  Power vs. bandwidth  Data rate vs. bandwidth  Capacity vs. bandwidth (dB) ... jnj n tj M pp j n P − += − ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ ≤ ∑ )1( 1 jnj n tj B pp j n j n P − += − ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ ≈ ∑ )1( 1 1 p Digital Communications I: Modulation and Coding Course Period 3 -...

Ngày tải lên: 25/10/2013, 06:15

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Modulation and coding course- lecture 12

Modulation and coding course- lecture 12

... from the received sequence Digital Communications I: Modulation and Coding Course Period 3 - 2007 Catharina Logothetis Lecture 12 Lecture 12 5 Soft and hard decision decoding  In hard decision: ... 6 Soft and hard decision decoding …  ML soft-decisions decoding rule:  Choose the path in the trellis with minimum Euclidean distance from the received sequence  ML hard-decis...

Ngày tải lên: 29/10/2013, 13:15

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Modulation and coding course- lecture 11

Modulation and coding course- lecture 11

... levels.  Decoding based on soft-bits, is called the “soft-decision decoding”.  On AWGN channels, 2 dB and on fading channels 6 dB gain are obtained by using soft-decoding over hard-decoding. Lecture ... Modulation, Demodulation and Coding Course Period 3 - 2007 Catharina Logothetis Lecture 11 Lecture 11 10 Trellis ... only to two level) which are called “hard- bits”.  Decoding b...

Ngày tải lên: 29/10/2013, 13:15

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