KR950022980A - Soft Decision Method Using Adaptive Quantization - Google Patents

Soft Decision Method Using Adaptive Quantization Download PDF

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Publication number
KR950022980A
KR950022980A KR1019930030328A KR930030328A KR950022980A KR 950022980 A KR950022980 A KR 950022980A KR 1019930030328 A KR1019930030328 A KR 1019930030328A KR 930030328 A KR930030328 A KR 930030328A KR 950022980 A KR950022980 A KR 950022980A
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South Korea
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snr
quantization
soft decision
input signal
decision method
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KR1019930030328A
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Korean (ko)
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KR0122749B1 (en
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임용희
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배순훈
대우전자 주식회사
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124—Quantisation

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Error Detection And Correction (AREA)

Abstract

본 발명은 적응양자화를 이용한 소프트 결정방법에 관한 것으로, 수신되는 신호의 SNR과 채널 잡음의 발생분포를 고려하여 균일 또는 비균일 양자화법을 결정한 후 비터비 디코딩을 수행할 수 있도록 한 적응 양자화를 이용한 소프트 결정방법을 제공함에 그 목적이 있다.The present invention relates to a soft decision method using adaptive quantization, and to determine the uniform or non-uniform quantization method in consideration of the SNR of a received signal and the occurrence distribution of channel noise, and to use the adaptive quantization to perform Viterbi decoding. Its purpose is to provide a soft decision method.

본 발명은 상기 목적을 달성하기 위해 입력되는 신호의 SNR이 임계값 SNR 보다 크면 불균일 양자화를 실행하는 제1단계, 입력되는 신호의 SNR이 임계값 SNR 보다 작으면 균일 양자화를 실행하는 제2단계, 메트릭을 계산하는 제3단계로 이루어짐을 특징으로 한다.The present invention provides a first step of performing non-uniform quantization if the SNR of the input signal is greater than the threshold SNR to achieve the above object, a second step of performing uniform quantization if the SNR of the input signal is less than the threshold SNR, And a third step of calculating the metric.

Description

적응 양자화를 이용한 소프트 결정방법Soft Decision Method Using Adaptive Quantization

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음Since this is an open matter, no full text was included.

제3도는 본 발명을 실행하기 위한 하드웨어 구성도,3 is a hardware diagram for implementing the present invention,

제4도는 본 발명의 실시예를 나타낸 흐름도.4 is a flow diagram illustrating an embodiment of the invention.

Claims (4)

입력되는 신호의 SNR이 임계값 SNR 보다 크면 불균일 양자화를 실행하는 제1단계, 입력되는 신호의 SNR이 임계값 SNR 보다 작으면 균일 양자화를 실행하는 제2단계, 메트릭을 계산하는 제3단계로 이루어짐을 특징으로 하는 적응 양자화를 이용한 소프트 결정방법.A first step of performing non-uniform quantization if the SNR of the input signal is greater than the threshold SNR, a second step of performing uniform quantization if the SNR of the input signal is less than the threshold SNR, and a third step of calculating the metric Soft decision method using the adaptive quantization characterized in that. 제1항에 있어서, 상기 제1단계의 불균일 양자화는 잡음분포를 가우시안 분포로 보고 실행하는 것을 특징으로 하는 적응양자화를 이용한 소프트 결정방법.2. The method of claim 1, wherein the nonuniform quantization of the first step is performed by looking at a noise distribution as a Gaussian distribution. 제2항에 있어서, 상기 불균일 양자화는 잡음 분포 표준편차의 두배인 2δ를 기준으로 하여 실행하는 것을 특징으로 하는 적응양자화를 이용한 소프트 결정방법.3. The method of claim 2, wherein the nonuniform quantization is performed based on 2 ?, which is twice the standard deviation of the noise distribution. 제1항, 제3항에 있어서, 잡음 평균이 0이 아닌 경우 입력되는 신호에서 잡음의 평균 파워를 뺀값으로 양자화 한 구간에 맞춰 메트릭을 계산함을 특징으로 하는 적응 양자화를 이용한 소프트 결정방법.The method of claim 1 or 3, wherein the metric is calculated according to the quantized section by subtracting the average power of the noise from the input signal when the noise average is not zero. ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.※ Note: The disclosure is based on the initial application.
KR1019930030328A 1993-12-28 1993-12-28 Soft decision method using adaptive quantization KR0122749B1 (en)

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KR1019930030328A KR0122749B1 (en) 1993-12-28 1993-12-28 Soft decision method using adaptive quantization

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KR1019930030328A KR0122749B1 (en) 1993-12-28 1993-12-28 Soft decision method using adaptive quantization

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KR0122749B1 KR0122749B1 (en) 1997-11-17

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20000045145A (en) * 1998-12-30 2000-07-15 전주범 Vsb demodulator of digital television receiver
KR100480691B1 (en) * 1997-12-31 2005-05-16 엘지전자 주식회사 (apparatus for interfacing in broadcast receiving system's demodulator and decoder
KR100767695B1 (en) * 2006-01-16 2007-10-17 엘지전자 주식회사 An apparatus and a method for receiving broadcast
WO2008038879A1 (en) * 2006-09-25 2008-04-03 Xronet Corporation Method of determining a variable quantization step size for improving channel decoding, method and apparatus of performing channel decoding operation based on a variable quantization step size

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100556467B1 (en) * 1998-12-26 2006-05-25 엘지전자 주식회사 Method and apparatus for demapping

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100480691B1 (en) * 1997-12-31 2005-05-16 엘지전자 주식회사 (apparatus for interfacing in broadcast receiving system's demodulator and decoder
KR20000045145A (en) * 1998-12-30 2000-07-15 전주범 Vsb demodulator of digital television receiver
KR100767695B1 (en) * 2006-01-16 2007-10-17 엘지전자 주식회사 An apparatus and a method for receiving broadcast
WO2008038879A1 (en) * 2006-09-25 2008-04-03 Xronet Corporation Method of determining a variable quantization step size for improving channel decoding, method and apparatus of performing channel decoding operation based on a variable quantization step size
US8223868B2 (en) 2006-09-25 2012-07-17 Xronet Corporation Method of determining a variable quantization step size for improving channel decoding, method and apparatus of performing channel decoding operation based on a variable quantization step size

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