equalization algorithms 中文意思是什麼

equalization algorithms 解釋
均衡演算法
  1. 6. the basic principle of turbo equalization is discussed and the siso equalization algorithms based on a posteriori probability and interference cancellation are derived. at last, the simulation results are provided

    6 .論述了turbo均衡的基本原理，推導了基於后驗概率和干擾消除的5150均衡演算法，給出了性能模擬結果。
  2. In the technique of pre - processing on night vision images, such algorithms as image registration, non - uniformity correction, image enhancement are mainly studied and realized. an innovatory algorithm of full - scale non - uniformity correction on ir images is presented and an arithmetical progression histogram equalization algorithm in the enhancement of image is validated and developed in this dissertation

    在夜視圖像預處理技術方面，主要研究實現了圖像配準、非均勻校正、圖像增強等演算法，並創新性地提出了紅外圖像基於全局的非均勻校正演算法，驗證並發展了等差數列直方圖均衡圖像增強方法。
  3. This paper formulize the foundational principle and development of blind equalization technique based on neural network. the traditional neural network blind equalization algorithms have many advantages and disadvantages. through analyse these disadvantage, two kinds of new blind equalization algorithm based on neural network is proposed

    本文首先對基於神經網路的盲均衡技術原理及發展進行了闡述，分析了原有神經網路盲均衡演算法的優缺點，然後對原有演算法的缺陷進行改進，提出了兩類新的神經網路盲均衡演算法。
  4. In general, turbo equalization algorithms combine equalization and soft output channel decoding in an iterative process

    通常的turbo均衡演算法採用均衡與軟輸出譯碼的迭代運算。
  5. A enhanced realization scheme of dvb - c is introduced by the simulation and comparation of some blind equalization algorithms

    通過對各種盲均衡演算法的模擬與比較，提出了用於dvb - c系統的優化的均衡器實現方案。
  6. The problem of implementation of blind equalization algorithms is also discussed, and we propose a simple algorithm that is suitable for implementation

    文章還對盲均衡技術的實現問題進行了初步討論，提出了一種簡單易行，適于硬體實現的直接盲均衡演算法。
  7. Tricepstrum equalization algorithm ( btea ) and super - exponential ( se ) algorithm based on block data estimation is studied, and these algorithms use hos explicitly. their performance, such as estimation variance and bias, is analyzed. a kind of sparse cross cumulant and sparse equalizer is proposed to simplify the se algorithm, and the simulating results show efficient reduction in complication

    ?研究了幾種直接使用高階統計量的演算法，包括基於數據段估計的倒三譜演算法和超指數演算法，分析了演算法的估計方差和偏差等性能；由於超指數演算法計算量較大，不利於實時均衡，利用水聲通道的稀疏性，提出了一種基於稀疏互四階累積量和稀疏權的演算法，有效降低了超指數演算法的計算量。
  8. In order to achieve high data rates on the severely band - limited underwater acoustic ( uwa ) channels, bandwidth - efficient modulation techniques must be employed, together with some sophisticated signal processing algorithms, such as adaptive equalization technique for the intersymbol interference caused by channel multipath propagation

    在帶寬嚴重受限的水聲通道中實現高數據率通信，必須使用高帶寬利用率調制技術，並結合自適應均衡等技術以有效地克服通道多途傳播產生的符號間干擾。
  9. 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。
  10. This paper researches blind equalization ruler, analyses the knowledge of hos and summarizes some algorithms based on the hos. odd - order ( third - second order and fifth - second order ) normalized cumulant algorithms are introduced and a new blind equalization ruler is proved and introduced after researching even - order normalized cumulant algorithms. then the steepest descent method is used to derive the algorithm

    在分析偶數階歸一化累積量演算法的基礎上，提出了奇數階（三、二階和五、二階）歸一化累積量演算法，論證並推導出一種新的盲均衡準則，最後利用最速下降法形成了新演算法。
  11. Chapter 3 is on blind equalization. different types of equalizer structures and algorithms are introduced and analyzed. " the algorithms based on cma or gaussian cluster formation soft decision directed algorithm are discussed in detail

    第三章介紹了均衡演算法的基本結構類型，分析了一些具有代表性的盲均衡演算法，並著重討論了基於恆模演算法和高斯簇模型軟判決引導的盲均衡演算法。
  12. To sum up, the main research work and its characteristic in this dissertation includes as follow : firstly, introduce the research background, point out the aim and actual meaning of the research, summarize the research status and development trend of time domain equalization algorithms and system on a chip design international and oversea

    概括起來，本文的主要研究工作及其特點包括： 1首先介紹了課題的研究背景，指出了本文選題的目的和實際意義，總結了時域均衡演算法和片上系統設計的國內外研究現狀和發展趨勢。
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