An adaptive threshold control algorithm based on correlation detection 一種基于相關(guān)檢測(cè)的自適應(yīng)門限控制算法
Correlation detection scheme 相關(guān)檢測(cè)線路
4 . a signal detection system based on the correlation detection technique is designed . and the configuration of the detection circuit is illustrated in detail 4 .介紹了相關(guān)檢測(cè)技術(shù)的原理和優(yōu)點(diǎn),設(shè)計(jì)了基于相關(guān)檢測(cè)技術(shù)的信號(hào)檢測(cè)系統(tǒng),并且詳細(xì)介紹了信號(hào)檢測(cè)電路的實(shí)現(xiàn)方法。
Firstly , the paper introduces the character and the development of all - digital receiver , then an adaptive threshold correlation detection algorithm has been presented 本文首先介紹了全數(shù)字接收機(jī)的特點(diǎn)及其發(fā)展概況,然后介紹了一種用于信號(hào)捕獲的自適應(yīng)門限的信號(hào)相關(guān)檢測(cè)算法。
Based on the theoty of statistical dctection and research on distribution of dct coefficiefits , the chapter 3 proposes a robust 3d motion blind watermark detection algorithin , which is a sign correlation detection scheme 第三章基于統(tǒng)計(jì)檢測(cè)理論與dct變換系數(shù)分布的研究,提出一個(gè)魯棒的三維運(yùn)動(dòng)盲水印檢測(cè)算法,它是一個(gè)dct變換域上的符號(hào)相關(guān)性檢測(cè)算法。
In this paper , the detection and parameter estimation , are studied for ds - ss / bpsk signal with low signal - to - noise ratio , including square detection , cyclic spectrum detection , correlation detection and higher - order statistics - based detection 本文研究了包括平方倍頻檢測(cè)、周期譜檢測(cè)、時(shí)域相關(guān)檢測(cè)和高階統(tǒng)計(jì)量檢測(cè)四種針對(duì)低信噪比下ds - ss / bpsk信號(hào)的檢測(cè)與參數(shù)估計(jì)方法。
Several methods of sequence spread spectrum signals direction have been developed , such as energy detection , correlation detection , cepstrum detection , cyclic spectral , higher order cumulant detection , etc . these methods developed from the research of detection and estimation for ds signals 直擴(kuò)通信信號(hào)檢測(cè)的研究已發(fā)展出許多方法,如能量法、相關(guān)法、倒譜法、周期譜法及高階譜法等。
By making use of the characteristics of pseudorandom spread spectrum sequence in time - domain , this thesis has studied the time - domain correlation detection method of the dsss / bpsk signal and proposed the time - domain difference - accumulation detection method of the dsss / bpsk signal 利用擴(kuò)頻偽隨機(jī)序列在時(shí)域上的特點(diǎn),本文研究了dsss / bpsk信號(hào)的時(shí)域相關(guān)檢測(cè)方法,并提出了dsss / bpsk信號(hào)的時(shí)域累差檢測(cè)方法。
At first , to estimating common parameters , in this dissertation three detection methods - square detection , spectrum correlation detection and cepstrum detection are applied to detect the ds / cdma signal . these three methods have different advantages and disadvantages respectively 為解決ds / cdma信號(hào)共性參數(shù)的估計(jì),本文首先將三種檢測(cè)方法:平方律法、周期譜法和倒譜法,應(yīng)用到ds / cdma信號(hào)的檢測(cè)與參數(shù)估計(jì)中。
On this basis , the wavelet decomposition established on the time - domain correlation detection method provides a feasible scheme that improves performance , in a situation when it is impossible to design the pre - filter because the frequency band of the useful signal is unknown 本文在此基礎(chǔ)上加以擴(kuò)展,分析了dsss / bpsk信號(hào)的高階統(tǒng)計(jì)量,并以此為基礎(chǔ)進(jìn)行檢測(cè)。 4 .倒譜分析和周期譜分析近年來被廣泛應(yīng)用于對(duì)dsss / bpsk信號(hào)的研究。