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- Meanwhile,by applying symbol-constrained method to MAP algorithm,not only the a priori probability of VLCs sources is efficiently utilized,but also the Symbol Error Rate(SER) is reduced enormously. 同時,通過將「符號約束」的思想應用於最大后驗概率(MAP)解碼演算法,不僅充分利用了信源先驗信息,而且極大地降低了誤符號率。
- The principle of equal a priori probability 二、等幾率定理
- postulate of equal a priori probabilities 等概率假設
- How synthetic judgment a priori are possible? 而是先天綜合判斷如何可能的。
- Every Proof a priori proceeds by Causes either real or virtual. 演繹法的證明每次應從真正的或可視為真的原因開始。
- Since it is the probability density, it must be single-valued. 因為它是幾率密度,因此必須是單值的。
- a priori probability 先驗概率
- There was a priory in the small town. 這個小鎮里有個小修道院。
- We get a buildup of electronic probability density between the nuclei. 我們得到在兩個核間的電子幾率密度的堆積。
- However, the detection probability of local sensors generally is a priori unknown for an uncooperative target. 然而,對於非合作目標而言,局部感測器的檢測概率往往是先驗未知的。
- Optimal Distributed Decision Fusion with Fuzzy a priori Probabilities and Fuzzy Cost Functions Based on Minimum Bayesian Risk Criterion 先驗概率和代價函數均模糊時基於貝葉斯最小風險準則的分散式決策融合
- Sample Percentage Presentation of Joint Probability Density of Two Random Variables. 二維隨機變數聯合機率密度之取樣百分比。
- A priori--existing in the mind independent of experience. 獨立於經驗而存在於心靈的。
- We cannot decide a priori what it is that should be done. 我們無法預先決定應當做些什麼。
- The analytic solutions of the probability density of the steady-state responses of Coulomb sliding systems with gradually strong springs to Gaussian white noise are derived. 利用等效線性化方法推導了具有漸硬非線性複位彈簧的滑動系統的高斯白雜訊激勵穩態隨機響應概率分佈的解析解。
- If cumulative is TRUE, EXPONDIST returns the cumulative distribution function; if FALSE, it returns the probability density function. 如果cumulative為TRUE,函數EXPONDIST返回累積分佈函數;如果cumulative為FALSE,返回概率密度函數。
- In this paper, the method of generating random number with given probability density function is proposed by using vertical density representation. 摘要本文首先介紹基於垂直概率密度表示的,給定密度函數的隨機數生成的通用方法;
- The structure of PMN is a four layer feedforward neural networks(FNN), where the Gaussian probability density function is realized as an internal node. PMN網為一個四層前饋網,它構成一個貝葉斯分類器,實現多類分類的貝葉斯判別,把輸入的說話人語音數據模型參數通過網路變換為輸出的說話人判定。
- Requires that the system has some additional a priori information available. 需要系統有一些額外的信息。