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- W is a zero mean white noise source. W是一個(gè)零均值的白噪聲源。
- In this study, those remaining effects are treated asstochastic noise and are assumed white Caussian distributed with zero mean. 在這項研究中,那些未被考慮的各影響因素被作為隨時(shí)噪聲加以處理,并假設其具有零均值白高斯分布。
- In this example for that X is a zero mean uniform R.V, Y is a zero mean uniform R.V, U is the difference of R.V.X, Y, and V is the product of R.V. 本文以甲變數為均勻隨機變數，乙變數為均勻隨機變數，丙變數為甲乙隨機變數之差，及丁變數為甲乙隨機變數之積的情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is the product of zero mean uniform R.V.Urn0, Y is a zero mean uniform R.V, U is the cosine of product of R.V.X, Y, and V is the difference of R.V. 本文以甲變數為均勻隨機變數之積，乙變數為均勻隨機變數，丙變數為甲乙隨機變數積之馀弦，及丁變數為甲乙隨機變數之的差情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is a zero mean uniform R.V, Y is the product of zero mean uniform R.V.Urn0, U is the sum of R.V.X, Y, and V is the cosine of product of R.V. 本文以甲變數為均勻隨機變數，乙變數為均勻隨機變數之積，丙變數為甲乙隨機變數之和，及丁變數為甲乙隨機變數積之馀弦的情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is the sum of zero mean uniform R.V.Urn0, Y is the cosine of zero mean uniform R.V.Urn0, U is the product of R.V.X, Y, and V is the sum of R.V. 本文以甲變數為均勻隨機變數之和，乙變數為均勻隨機變數之馀弦，丙變數為甲乙隨機變數之積，及丁變數為甲乙隨機變數之和的情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is a zero mean normal R.V, Y is the product of zero mean uniform R.V.Urn0, U is the even exponential of sum of R.V.X, Y, and V is the product of R.V. 本文以甲變數為均勻隨機變數，乙變數為均勻隨機變數之積，丙變數為甲乙隨機變數和之偶指數函數，及丁變數為甲乙隨機變數之積的情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is the sum of zero mean uniform R.V.Urn0, Y is a zero mean uniform R.V, U is the product of R.V.X, Y, and V is the difference of R.V. 本文以甲變數為均勻隨機變數之和，乙變數為均勻隨機變數，丙變數為甲乙隨機變數之積，及丁變數為甲乙隨機變數之的差情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is a zero mean normal R.V, Y is the cosine of zero mean uniform R.V.Urn0, U is the even exponential of sum of R.V.X, Y, and V is the difference of R.V. 本文以甲變數為均勻隨機變數，乙變數為均勻隨機變數之馀弦，丙變數為甲乙隨機變數和之偶指數函數，及丁變數為甲乙隨機變數之的差情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is the cosine of zero mean uniform R.V.Urn0, Y is theGaussian of zero mean uniform R.V.Urn0, U is the sum of R.V.X, Y, and V is the cosine of product of R.V. 本文以甲變數為均勻隨機變數之馀弦，乙變數為均勻隨機變數之高斯函數，丙變數為甲乙隨機變數之和，及丁變數為甲乙隨機變數積之馀弦的情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- In this example for that X is the sum of zero mean uniform R.V.Urn0, Y is the even exponential of zero mean uniform R.V.Urn0, U is the cosine of sum of R.V.X, Y, and V is the sum of R.V. 本文以甲變數為均勻隨機變數之和，乙變數為均勻隨機變數之偶指數函數，丙變數為甲乙隨機變數和之馀弦，及丁變數為甲乙隨機變數之和的情況下，圖示驗證二維隨機變數聯(lián)合機率之特性。
- zero mean sum of squared differences (ZSSD) 零均值像素灰度差平方和
- The mercury dived to ten below zero. 溫度突然下降到零下10度。
- Now, men, zero in your guns at that ship. 喂，伙計們，把炮口對準那艘船。
- It was five below zero last night. 昨夜溫度是零下五度。
- Do you mean say we are met for a thunder storm? 你肯定我們會(huì )遇到一場(chǎng)雷雨？
- Prospects of success in the talks were put at zero. 會(huì )談沒(méi)有成功的希望。
- I feel mean for not doing more for my son. 我對沒(méi)為我兒子多做點(diǎn)事而感到慚愧。
- He has given my suggestion zero thought. 他一點(diǎn)也沒(méi)有考慮過(guò)我的建議。
