The correlogram can give valuable information . 相關(guān)圖能夠提供有價(jià)值的信息。
The result of experiments show that resynthesized speech signals form the its correlogram by auditory model inversion is nature and robust in noisy environment 實(shí)驗(yàn)結(jié)果表明,我們通過聽覺模型反演從信號(hào)的自相關(guān)圖譜中恢復(fù)出的語(yǔ)音信號(hào),具有較好的自然度和良好的噪聲魯棒性。
With the auditory model as the front - end to extract the correlogram of signals . following , this paper present the implementation of suditory model inversion procedure by resynthesizing original signal from the correlogra - m 接著,文章闡述了通過實(shí)現(xiàn)聽覺模型反演過程從信號(hào)的自相關(guān)圖譜中恢復(fù)出原始的語(yǔ)音信號(hào)的過程。
Various apsd estimate arithmetics including periodogram method , correlogram method , blackman - tukey method , barlett method , yule - walker method , lda , and dga were implemented on ccs ( code composer studio ) 譜估計(jì)算法分別采用了經(jīng)典非參數(shù)方法中的周期圖法、相關(guān)圖法、 bt法、 bartlett法,和參數(shù)法中的yule - walker算法、 lda 、 dga 。
The first part is an introduction on the literature on “ hot issue ” phenomenon . in the second part , i analyze the special issuing mechanism and the equity separation and the government regulation in china . and finally i find the four market partner activity distortion phenomenon in the chinese market . then i conduct a correlogram test between the ipo issuing quantity and the first day return 本文分為三大部分,第一部分是對(duì)國(guó)內(nèi)外ipo熱銷現(xiàn)象研究現(xiàn)狀和理論基礎(chǔ)做詳盡的綜述,對(duì)ipo熱銷現(xiàn)象國(guó)內(nèi)外的研究現(xiàn)狀作了理論綜述,對(duì)關(guān)于ipo熱銷現(xiàn)象的各類理論解釋作了相關(guān)回顧,了解了ipo熱銷現(xiàn)象產(chǎn)生的內(nèi)在機(jī)理;然后對(duì)影響ipo發(fā)行數(shù)量和發(fā)行抑價(jià)率兩大變量的因素作了理論上的綜述和總結(jié)。
Spectral matching algorithm is applied , such as spectral angle mapping ( sam ) in section 3 . 4 and cross correlogram spectral matching ( ccsm ) in section 3 . 5 in order to discriminate different dominant species of red tide . the results of sam spectral matching are satisfying : identifications of mesodinium rubrum and leptocylindrus danicus succeed , identification of chattonella marina has wrong possibility and that of skeletonema costatum fails 3 . 4節(jié)將光譜角度制圖( spectralangl “ mapping , sam )這一光譜匹配方法引入赤潮光譜識(shí)別研究之中,所進(jìn)行的赤潮優(yōu)勢(shì)種類識(shí)別取得了令人較為滿意的結(jié)果:紅色中繞蟲、丹麥細(xì)柱藻赤潮的光譜識(shí)別取得了成功;海洋褐胞藻赤潮有誤識(shí)別的情況發(fā)生;只有中肋骨條藻赤潮的識(shí)別失敗。
This paper introduced that how resynthesize the neural firing rate by correlogram inversion , how resume the lost information by half wave rectification inversion . and a solution of speech enhancement based on masking properties of human auditory is proposed and implemented , we can not only analyse and resynthesize speech signal , but also analyse and resynthesize speech signal in noisy entironment with the system 介紹了如何從信號(hào)的自相關(guān)圖譜中逆變換中得到信號(hào)的神經(jīng)發(fā)放率函數(shù),怎樣從信號(hào)的半波整流逆變換中恢復(fù)丟失的信息等等。又根據(jù)聽覺生理特點(diǎn)提出了抗噪聲方案,使我們的語(yǔ)音分析重構(gòu)系統(tǒng)不僅可以對(duì)無(wú)噪信號(hào)進(jìn)行重構(gòu),而且還可以在噪聲環(huán)境下的語(yǔ)音信號(hào)進(jìn)行重構(gòu)。
The experimental system extract the low - level features of images such as hsv histogram , the texture got from coexistence matrix , color correlogram , and according to the characteristic of our image database , design the evaluation function such as the average rank ratio to evaluate and compare the performance of different integration of different features including semantic , and validate the active effect of feedback using experiment results 該原型系統(tǒng)提取了hsv直方圖、共生矩陣紋理、顏色相關(guān)圖等底層特征,同時(shí)根據(jù)圖像數(shù)據(jù)庫(kù)的特點(diǎn),設(shè)計(jì)了平均位置比值等評(píng)價(jià)函數(shù)對(duì)語(yǔ)義特征與底層特征的各種結(jié)合的檢索性能進(jìn)行了比較分析,并對(duì)反饋效果進(jìn)行了實(shí)驗(yàn)驗(yàn)證。
In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space , and change the bandwidth function . then we propose the semantic relevance feedback . the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values 本文引入顏色自相關(guān)圖特征作為圖像在底層特征空間相鄰的度量,并修改了框架中帶寬的計(jì)算函數(shù),然后引入反饋機(jī)制,對(duì)于用戶的正反饋和負(fù)反饋分別作不同的處理,以便在使用過程中,系統(tǒng)能夠繼續(xù)學(xué)習(xí),根據(jù)反饋更新圖像的概率鏈表,使之逐漸接近真實(shí)情況。