入息計演算法 的英文怎麼說
中文拼音 [rùxījìyǎnsuànfǎ]
入息計演算法
英文
income approach- 入 : Ⅰ動詞1 (進來或進去) enter 2 (參加) join; be admitted into; become a member of 3 (合乎) conf...
- 息 : Ⅰ名詞1 (呼吸時進出的氣) breath 2 (消息) news 3 (利錢; 利息) interest 4 [書面語] (子女) on...
- 計 : Ⅰ動詞1 (計算) count; compute; calculate; number 2 (設想; 打算) plan; plot Ⅱ名詞1 (測量或計算...
- 演 : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
- 算 : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
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The watermark algovithm can resist the physical transfer of printing and scanning by applying techniques such as fixation normalization mutually which can secure the embedding position, chaotic encipher encryption, multipassage embedding and so on. what ’ s more, the watermark designed in this essay is binary image. it can bear a large amount of information
本文綜合運用了歸一化相關確定嵌入位置、混沌加密、多通道嵌入等技術,使得本文所設計的水印演算法能夠抵抗印刷和掃描的物理轉換過程,同時本文所採用的水印是二值圖像,能夠承載大量的信息。A new fractal - based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. with the limitation of the line detection based on traditional hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. finally, the whole process of airport target recognition is presented and the result images are also given
使用分形方法提取目標的特徵,在知識指導下,提出了一種基於目標特徵模型的降維的形態學分形維數計算方法,對傳統分形方法進行了改進,從理論上推證了演算法的合理性,並對演算法進行了模擬分析;針對傳統hough變換無法獲得線段端點和長度信息的局限性,提出了一種基於目標特徵先驗知識的hough變換融合策略,通過引入目標先驗知識,可以有效地獲得直線信息;對信息多而復雜的機場目標採用基於知識的目標識別方法,使用置信度模摘要型實現不確定推理,對目標進行識別判斷,將知識貫穿于整個識別過程中,對目標進行了有效地識別。And a new pitch extraction algorithm, an active / inactive frame decision algorithm and a voiced / unvoiced frame decision algorithm are developed with the aims to improve the quality of the vocoder and reduce its overall computation load
本文引入了一種新的基音周期計算方法,靜音幀判決演算法,清音幀判決演算法,清濁音信息接收端重建等新演算法,提高了合成語音的質量,降低了演算法的總計算量。Section ii describes the design approach and implementation of speech module on mcf5249 coldfire core. the speech codec optimizes g. 729a codes and added voice activity detection of g. 729b to save bandwidth ; the implementation of acoustic echo cancellation uses nlms algorithm and it can reduce echo though designing adaptive fir filter and speech detector ; the dtmf and cpt generate signal using two second order digital sinusoidal oscillators and detect signal by picking up the frequency information. but only get the frequency information is not enough in cpt detector, this thesis introduces a method
其中對語音編解碼器的設計採用優化g . 729a代碼達到設計要求,並在此基礎上加入g . 729b的靜音檢測模塊,以進一步降低網路傳輸帶寬;對回聲消除器的設計採用nlms演算法,通過設計自適應fir濾波器和語音檢測器達到回聲消除目的;對雙音多頻設計,信號發生端採用構造靜態參數表並通過二階正弦振蕩器產生信號,信號檢測端提取頻率信息以檢測信號;對呼叫進程音設計,除了類似雙音多頻的信號發生及頻率檢測設計外,還需要檢測信號持續時間,作者設計了一種基於匹配狀態表的方法以檢測信號持續時間。The implementation uses two - dimension images as input. the arrangement of light spots on the lunar rover and the imaging geometry of the camera are used to compute the three - dimension coordinates of the light spots in camera coordinate system, and after transformation, the world coordinate of the light points. we can then easily get the coordinate value of center of mass of the rover after averaging the world coordinate value of light points
本文構造了一種光點配置單目ccd演算法,它以計算機視覺系統採集的二維圖像信息作為輸入,直接利用光點的幾何配置條件和攝像機成像幾何關系,求解出光點在ccd攝像機坐標系下的三維坐標,並經過坐標變換,轉化為在世界坐標系下的坐標,然後取其平均值,從而得出月球車的中心位置。In the preprocessing stage the method of user and session identification often adopt heuristic algorithm for the being of cache and agent. this induce the uncertainty of data resource. the cppc algorithm avoid the limitation and has no use for complicated hash data structure. in this algorithm, by constructing a userld - url revelant matrix similar customer groups are discovered by measuring similarity between column vectors and relevant web pages are obtained by measuring similarity between row vectors ; frequent access paths can also be discovered by further processing of the latter. experiments show the effectiveness of the algorithm. in the fourth part, this thesis bring some key techniques of data mining into web usage mining, combine the characteristic of relation database design and implement a web usage mining system wlgms with function of visible. lt can provide the user with decision support, and has good practicability
本文演算法避免了這個缺陷,且不需要復雜的hash數據結構,通過構造一個userid - uel關聯矩陣,對列向量進行相似性分析得到相似客戶群體,對行向量進行相似性度量獲得相關web頁面,對後者再進一步處理得到頻繁訪問路徑。實驗結果表明了演算法的有效性。第四是本文將傳統數據挖掘過程中的各種關鍵技術,引入到對web使用信息的挖掘活動中,結合關系數據庫的特點設計並實現了一個具有可廣西人學頎士學位論義視化功能的web使用挖掘系統wlgms 。A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique
本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究,其具體內容為:對近年來的研究工作進行了系統的介紹;提出了一個由粗到細的多階段的人臉檢測演算法,該演算法充分利用了序列圖像中人臉模式的各種有用信息,將復雜的檢測工作分為了四個部分:膚色區域分割預處理,人臉粗檢及利用橢圓擬和的人臉區域提煉,應用人臉基本特徵檢測和定位的人臉細檢, pca結合高斯概率密度估計的人臉驗證。In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local
本文首先對聚類分析的遺傳演算法進行了研究,討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法,分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究,提出了一種基於遺傳演算法的k - means聚類改進(混合聚類演算法) ,在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ,用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心,最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法,其顯著特點是隱含并行性和對全局信息的有效利用的能力,所以新的改進演算法具有較強的穩健性,可避免陷入局部最優,大大提高聚類效果。Applying the basic theories of spatial data mining and geomorphology, taking the loess plateau of north shaanxi province, china as the research area, this dissertation explored the theories and systematic structures of geomorphologic data mining and acknowledge discovery from dems, ascertained the systematic structures of topographic factors and synthetic topographic acknowledge, as well as systemically summarized mining algorithms from dems. the author pa id more attention also to analyze the principle and algorithm of flow length, curvature, relief, the earth ' s surface incision and gully density. in this research, the elementary constitutes and mining algorithms of regional character acknowledge in the loess plateau were probed
本研究在廣泛總結前人研究成果與研究經驗的基礎上,利用空間數據挖掘和地形地貌學的基本理論,以陜北黃土高原多地貌類型區為實驗樣區,以1 10000比例尺dem為樣本數據,探討了dem中地形地貌數據挖掘與知識發現的理論方法和體系結構;確定了宏觀和微觀地形因子、地形綜合特徵知識的體系結構;系統總結了dem基本地形因子的提取演算法,並重點對坡長、曲率、地形的起伏度、切割深度和溝壑密度因子提取的原理與演算法作了深入的分析;提出了黃土高原地區區域特徵知識的基本構成及其系統完整、科學可行的挖掘提取演算法;擴充了arcviewgis軟體平臺中dem空間分析的基本功能;實現了以delphi7 . 0為平臺的地形信息輔助挖掘系統的設計與開發;完成了對黃土高原多地貌類型區(樣區)地形信息空間分異特徵的分析。This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored
二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論,特別對利用空間信息進行閾值選取進行了詳細論述;在對通過對基於數學形態學的細化的基礎上,討論序貫同倫形態細化演算法和保形的快速形態細化演算法;然後依據聯機字元識別原理框圖,分析了手寫數字的結構特點,提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術,對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述;繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究,對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振( art )網路的字元識別分別進行了詳細討論,並引入置信度分析將多個分類器進行了混合集成;最後簡單闡述了手寫數字識別的典型應用,對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。The advent of the internet and the wide availability ofcomputers, scanners and printers make digital data acquisition, exchange and transmission a simple task. however, making digital data accessible to others through networks also creates opportunities for malicious parties to make salable copies of copyrighted content without permission of the content owner. digital watermarking is likely to be a potential solution to this problem. digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. it makes possible to embed a watermark ( such as identification data, serials number, text or image etc. ) to multimedia documents allowing copyright protection, secret communication, document authentication and so on. in this paper, we present a new digital image watermarking method based on svd ( singular value decomposition ), and then give some theoretical analysis about the algorithm. extensive experimental results show that this method is much more robust than other methods presented before
隨著計算機和網路技術的飛速發展,數字圖像、音頻和視頻產品愈來愈需要一種有效的版權保護方法,另外通信系統在網路環境下的信息安全問題也日益顯露出來.數字圖像水印技術為上述問題提供了一個潛在的解決方案.所謂水印技術就是將數字、序列號、文字、圖像標志等版權信息嵌入到多媒體數據中,以起到版權保護、秘密通信、數據文件的真偽鑒別和產品標志等作用.本文提出了一種新的基於奇異值分解的數字水印演算法並且對該方法的理論基礎給出分析.實驗結果表明這種方法要比目前提出的流行演算法魯棒Directly painting textures on top of 3d objects in 3d perspective viewport is a new issue of human - computer interface ( hci ). this paper presents a method to solve this issue. it converts the position information of the texture pixels of texture map into color information , and then transfers both the coordinates and the color of texture pixels into screen through texture mapping at the same time. only is the color information of texture pixels converted into illumination by calculating the normal and the angle of ray incidence of the screen pixel in the method. the texture coordinates are firstly converted into the color information by generating another texture map , which is called information map whose pixels ' color represents the coordinates information. and then the corresponding texture coordinates are mapped into screen reference frame by texture mapping and stored into information buffer for later use. so we can obtain the texture coordinates of screen pixels correspondingly by decoding from information buffer. after optimizing , we can paint textures on top of 3d objects in 3d perspective viewport in real time. the paper also gives some examples and related definitions of using additional information of 2d texture map for 3d graph generating
針對三維逶視投影視圖中對三維物體表面紋理直接進行噴繪,以獲得復雜紋理圖這一計算機圖形交互技術這一新問題,研究了一種將紋理圖的象素位置信息轉換成彩色信息,然後利用紋理映射將紋理坐標連同該點上的顏色值一起傳遞到與屏幕象素對應的可見點上的方法,其中顏色值依該點處的入射光線方向和表面法向被進一步轉換為光強值,而紋理坐標則被解碼后還原成與該可見點對應的紋理坐標,被存入信息緩沖器中,供以後使用,通過解碼,可根據屏幕點直接得到對應紋理象素點的坐標,經過演算法優化,實現了對三維物體表面紋理的實時噴繪;同時闡述了在三維圖象生成技術中使用附加紋理信息的應用實例以及相關定義It takes use of pseudo - random technology, dynamic adaptive technology, multi - channel technology, random position embed technology and so no. so the digital watermarking can resist the physical process of printing and scanning. at the same time, the watermark is binary image which includes a great deal of information, such as personal id, secret information, even a piece of map
本文特別針對印刷和掃描給數字圖像帶來的誤差的問題,設計了一種新的水印演算法,綜合運用了偽隨機處理技術、動態自適應技術、不同應用選擇不用頻帶處理技術、隨機位置嵌入技術、多通道嵌入等技術,使得本文所設計的水印演算法能夠抵抗印刷和掃描的物理轉換過程,同時本文所設計的水印是二值圖像,能夠承載大量的信息,例如個人id 、機密信息、商標標識,甚至可以是一幅地圖。This thesis presents a new audio digital watermark algorithm based on has model. the steps : first, it classifies the signals through fft ; second, calculating the tones, noise and the overall masking threshold of different phases through has, and changing the energy value of tones which are more than that of the overall masking threshold to embed the watermark information
提出了一種基於人類聽覺系統( has )模型的音頻數字水印演算法,該演算法首先對信號進行分段離散快速傅立葉變換( fft ) ,再根據人類聽覺系統模型計算出各段的類純音、類噪音以及各段的總體掩蔽閾值,通過改變大於總體遮蔽閾值的類純音的能量值來嵌入水印信息。This paper uses the idea of hpec _ si ( high performance embedded computing software initiative ) for reference, basing on the message passing mechanism of mpi ( message passing interface ), envelops some typical parallel algorithms in image / signal processing domain as classes, and designs and finishes an object - oriented 、 image / signal processing standard parallel library to provide application software programmers an excellent development environment
本課題借鑒高性能嵌入式計算軟體計劃( highperformanceembeddedcomputingsoftwareinitiative , hpec _ si )的解決方法,基於消息傳遞介面( messagepassinginterface , mpi )的消息傳遞機制,對圖像/信號處理中的一些典型并行演算法以類組件的方式進行封裝,設計和實現了具有面向對象特徵的、用於圖像/信號處理的并行向量庫,提供給應用軟體開發人員一個良好的開發環境。The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high - energy noise and some non - gauss noise simply and effectively ; bi - spectrum can acquire more information from the original signal than power - spectrum, detect more information except from range and restrain the gauss noise. short - time speech signal can be considered as stationary and with periodic non - gauss signal, so we can make use of bi - spectrum to obtain the speech character and separate the speech and noise and detect morse telegraph signal ; complex number spectrum variance algorithm is put forward based on the deeply observing speech data, it is a new algorithm, experiment show that it is simple, effective
統計演算法在解決周期信號、高能噪聲和高斯信號方面有獨特之處,能簡單有效提取以上噪聲的特徵;雙譜能夠提供比功率譜更多的有用信息,有效地檢測信號幅度之外的其它信息,並能有效抑制高斯噪聲,短時語音信號一般認為是平穩且有一定的周期性的非高斯信號,因而可以利用雙譜來提取語音信號特性並實現信噪分離;復數譜方差演算法是在對語音信號進行深入觀察和分析的基礎上而提出來的一種全新的語音特徵提取方法,此方法簡單而有效的提取了語音、噪聲的特徵以及檢測莫爾斯信號,基於實驗表明,該演算法取得了很好的效果。The system design includes information model, function design and dada - base logical relation. the information model is established by entity - relation method, and the e - r picture is ploted, and the in - out diagram is gived out ; the fuction designed is established by idef0 method, the subsystems are designed according to the model in detail, we give out the explaining document and explain the calculation method for the model ; we design the data - base logical relation by the above models, decide the distributing and partition the relation diagram of the data - base, then define the logical structure of the diagrams
其中信息建模採用實體-聯系的方法建立系統的信息模型,並用idef1x圖表示出該信息模型,同時給出電泵物資管理系統輸入輸出信息表;功能設計用idef _ 0方法建立電泵物資管理系統分系統功能模型,參照功能模型對內部各子系統進行詳細設計,給出分系統功能模塊的詳細說明書及相應功能演算法描述;數據庫邏輯設計依據系統分析結果、信息模型及功能模型,確定電泵物資管理系統數據庫分佈,劃分數據庫內部關系表,定義表的具體邏輯結構。The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed
主要工作在以下幾個方面: 1 、針對頻率選擇性衰落通道:結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法,與傳統方法相比,該方法計算量更小,收斂速度更快,性能更優,且對系統階次的過確定表現穩健,具有實際均衡應用價值; 2 、針對時間選擇性衰落通道:提出一種基於迫零均衡的時間選擇性通道均衡方法,演算法結構簡單; 3 、針對時變色散通道:利用瞬態均值曲線提取通道時變信息,對之ar建模,利用卡爾曼濾波器跟蹤時變通道抽頭變化,可以快速跟蹤通道變化;基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法,提出了新的單輸入多輸出色散時變通道均衡與識別演算法,同樣具有對通道階次過確定保持穩健的優點;結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法;研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題,給出一種時變系統處理模型。First, it gives a snapshot of some typical self - organized routing protocols in manet. then the design of self - organized routing algorithm based on ktrp is elaborated as the main part of this dissertation, including the choosing of key nodes, the main algorithm modification of ktrp to accommodate with the interior routing in subnet, the access flow between two layers, primary packet formats, tables, and ip routing algorithm. at last, the simulation model of the self - organized routing algorithm
本文首先分析了現有的manet自組織路由協議;然後針對本信息傳輸分系統的網路結構,詳細分析了基於ktrp的子網內部以及相鄰層間的自組織路由演算法的設計,包括對多個關鍵節點的選取、為適應本課題子網內路由通信而對ktrp做出的主要演算法更改、相鄰層間接入互連的流程、自組織路由演算法中涉及的主要報文格式和表,並且舉例說明了ip選路演算法;最後對所設計的自組織路由演算法進行了模擬,以驗證演算法的有效性。Through chaos optimization method embedded into the genetic algorithm. the algorithm with the combination the advantages of the genetic algorithm and chaos optimization method which need not the optimal problem function ' s differential and promote the ability of the genetic algorithm ' s locally meticulous search can be obtained with the faster convergence and the greater probability for the global solution. a chaotic sequence is inserted into the search procedure of genetic algorithm, which can overcome premature of the search by genetic algorithm and the speed of convergence is faster than standard genetic algorithm
對遺傳演算法進行了理論分析,並且研究了遺傳演算法的設計與實現;利用混沌優化方法不依賴于梯度信息的性質,將其與遺傳演算法相結合,提出了一種求解連續不可微函數優化問題的混合遺傳演算法;基於對于符號動力系統的研究,利用混沌序列的遍歷性,將混沌序列引入遺傳演算法中,提出一種嵌入哈爾濱工程大學博土學位論文一混飩序列的遺傳演算法,該演算法有效地克服了標準遺傳演算法中的早熟現象,並且具有更快的收斂速度。 」分享友人