本文選題：聯(lián)合信源信道編碼 + 過采樣濾波器組��； 參考：《河北聯(lián)合大學》2014年碩士論文

【摘要】：無線信道中有噪聲、干擾和衰落的影響，為了達到較低的誤碼率，就需要較強的糾錯編碼方法。然而較強糾錯編碼會有系統(tǒng)復雜度提高、時延加大等問題。聯(lián)合信源信道編碼（JSCC, Joint Source Channel Coding）技術是解決這一矛盾的主要方法。 文中搭建了兩種聯(lián)合信源信道編碼系統(tǒng)，構建了聯(lián)合信源信道模型�？紤]量化噪聲和信道噪聲，由量化、給定轉移概率的二進制對稱信道、反量化構成的GBG（Gaussian Background Noise and Bernoulli Gaussian Impulse Noise）信道模型構成聯(lián)合信道。首先，研究分析基于Real BCH編碼的聯(lián)合信源信道編碼系統(tǒng)的性能。之后，搭建了基于過采樣濾波器組（OFBS, Oversampled Filter Banks）的聯(lián)合信源信道編碼系統(tǒng)。研究通信領域中新的基于過采樣濾波器組的糾錯碼。對OFBS進行多相分解，找到以貝葉斯假設檢驗為理論依據的新的閾值計算方法，研究系統(tǒng)傳輸?shù)募m錯性能。 Matlab仿真結果表明，，信道在不同的轉移概率條件下，基于Real BCH編碼的聯(lián)合信源信道編碼技術在圖像傳輸方面有較好的傳輸效果。當信道的轉移概率較小信道狀況良好時，圖像的傳輸質量很好；當信道情況變差，圖像的質量下降平緩。由于Real BCH編碼過程中加入了冗余，所以在一定程度會減弱編碼效率。OFBS產生的冗余是信號通過濾波器組時產生的，帶有原始信號的信息成分。當信道質量較好時，可以在接收端恢復出高質量信號。當信道質量變差時，恢復出來的信號質量也隨之降低，但即使在信道質量很惡劣的情況下，恢復的信號質量依然可以接受�；谶^采樣濾波器組的新閾值的計算簡潔有效。
[Abstract]:In order to achieve low bit error rate (BER), strong error-correcting coding method is needed for the influence of noise, interference and fading in wireless channel. However, strong error-correcting coding will have some problems, such as increasing system complexity, increasing delay and so on. JSCC (Joint Source Channel coding) is the main method to solve this problem. In this paper, two kinds of joint source and channel coding systems are built, and the joint source and channel model is constructed. Considering the quantization noise and channel noise, the joint channel is constructed by the GBG Gaussian background noise and Bernoulli Gaussian Impulse Noisemodel, which is composed of binary symmetric channel with quantization, given transition probability and inverse quantization. Firstly, the performance of the joint source channel coding system based on Real BCH coding is studied. Then, a joint source-channel coding system based on OFBS (Oversampled filter Banks) is built. A new error-correcting code based on oversampling filter banks in communication field is studied. The multiphase decomposition of OFBS is carried out, and a new threshold calculation method based on Bayesian hypothesis test is found to study the error-correcting performance of the system transmission. The Matlab simulation results show that the channel is in different transition probability conditions. The joint source and channel coding technology based on Real BCH coding has good transmission effect in image transmission. When the channel transition probability is better than that of the channel, the quality of the image is very good, and when the channel becomes worse, the quality of the image declines slowly. Because redundancy is added in the Real BCH coding process, the redundancy generated by OFBS is generated when the signal passes through the filter bank and has the information component of the original signal. When the channel quality is better, the high quality signal can be recovered at the receiving end. When the channel quality becomes poor, the recovered signal quality also decreases, but even when the channel quality is very bad, the recovered signal quality is still acceptable. The calculation of the new threshold based on oversampling filter banks is simple and effective.
【學位授予單位】：河北聯(lián)合大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN911.22

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