noise variance 中文意思是什麼
noise variance
解釋
噪聲離散-
We analyse the dispersion of stock returns and have the tests of serial correlation. the results show that the trading mechanism has a significant effect on a number of characteristics of stock returns. first, the distribution of open - to - open returns has greater variance than that of close - to - close returns. second. the serial correlation pattern is quite different in the two return series. the open - to - open returns have negative autocorrelation coefficient, but the close - to - close returns is positive. further, employing an arma ( 1, 1 ) model we find that in the opening. returns exhibit higher residual noise and stronger dependence on past returns, reflecting stronger deviations from the random - walk form of the market efficiency hypothesis
主要表現為：一，開盤收益序列比收盤收益序列具有更大的方差。二，兩種收益序列的序列相關形式不同，開盤收益序列表現為負相關，而收盤收益序列表現為正相關。而且我們通過arma （ 1 ， 1 ）模型的進一步檢驗，發現開盤收益序列比收盤收益序列具有更大的殘差，更依賴于過去的收益序列，也更偏離於市場有效的隨機遊走形式的假設。 -
Simplified gauss - markov estimate with singular noise variance
估計在噪聲方差矩陣不可逆時的化簡 -
Methods of psf and noise variance estimation are proposed for practical restoration and thanks to them a real defocus image is perfectly restored
在此基礎上，對一個實際的模糊圖像進行了恢復處理並取得了良好的效果。 -
In this paper, optic gyro is viewed as the object of investigation and several aspects is investigated as follows. two important indexes - bias instability and scale factor were measured and investigated, including bias, its repetitiveness, temperature sensitivity, random walk coefficient and scale factor, its nonlinearity, asymmetry, repetitiveness. we make use of the allan variance method to separate the noise factors which affect the performance of the optic gyro, such as the angle random walk, bias instability, rate random walk, rate ramp, quantization noise, markov noise and sinusoidal noise
本文以光學陀螺為研究對象，開展了以下幾方面的研究工作：本文對光學陀螺性能的兩個重要指標?標度因數和零偏穩定性進行了較為詳細的研究，其中包括陀螺的零偏b _ 0 、零偏重復性b _ r 、零偏溫度靈敏度b _ t 、隨機遊走系數rwc和標度因數k 、標度因數的非線性k _ n 、標度因數不對稱性k _ h 、標度因數重復性k _ r等等。 -
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。 -
Smooth order amplitude variance was expressed by using state equation, and measurement error and noise were expressed by adopting observed equation
狀態方程表示了階比幅值的平滑變化，觀測方程表示了測量誤差和噪聲。 -
Then the noise is removed by means of the variance that is estimated directly from the median of the noise. finally, an auto - detection is made for the motion displacement from the difference image undergone the above pre - processings
本文給出的方法以散射圖去除光照影響和靜止背景，用噪聲的中位數直接估計其方差，從而去除噪聲，檢測出由運動引起的變動，最後自動檢測運動距離。 -
The trade - off parameter between the fab diffusion and the histogram modification is controlled by the variance of the image noise and the image histogram
並利用圖像直方圖的根方差和圖像噪聲的根方差，構造了兩種方法組合的權重因子，給出了權重因子的計算方法。 -
The image segmentation is done with the approach of region growing based on block mean and variance. considering the size of extracted objects and their relative position information, get rid of the " noise " objects and merge the meaningful fragmentary regions into their corresponding bigger ones. finally all pixels in non - object blocks are classified into their corresponding adjacent objects
圖像首先被分成合適大小的子塊，子塊的色彩均值和方差值作為像素群的屬性，用基於子塊的區域生長來進行圖像分割；根據提取出的對象大小以及它們的空間位置關系，去除掉過小的噪聲對象同時將有意義的小對象合併到其所屬的大對象中；最後處于邊界的子塊將逐像素地歸類到對應的相鄰對象中。 -
Effect of pump noise and quantum noise with real and imaginary parts on the variance of the laser intensity
實虛部間關聯的量子噪聲和泵噪聲對光強相對漲落的影響 -
Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target
論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。 -
This paper analyzes the sensitivity to noise in bam bidirectional associative memory, and then proves the noise immunity of bam relates not only to the minimum absolute value of net inputs but also to the variance of weights associated with synapse connections
雙向聯想記憶網路的進化準鬆弛演算法eprbam雙向聯想記憶網路bam因其結構簡單並且具有和人腦相似的聯想記憶功能而備受關注，並在模式識別領域得到了應用。 -
The cyclic estimation approaches of chirp signals in additive nose or multiplicative noise are proposed, it presents a way for the parameters estimation of zero mean amplitude chirp signals. the estimation performances in the additive noise or multiplicative noise are analyzed by the first order perturbation analysis method, and the error variance expressions of the parameters estimation under large samples are derived
針對加性噪聲情況及存在乘性噪聲的情況，提出了線性調頻信號參數的循環平穩估計方法，解決了零均值乘性噪聲的信號參數估計問題，並採用一階擾動分析方法，對兩種噪聲情況下的估計性能進行了分析，推導出了各參數的估計誤差方差公式。 -
And then, adopting the same model, cyclic moment estimation statistic of different orders are constructed respectively, large sample variance expressions of the estimator through theoretic analysis are derived, as well as the constraint relation of estimator performance and noise statistical characteristic. the curve of estimation performance is obtained through monte carlo simulation test, which proves the related conclusion derived
然後，論文同樣以加性和乘性噪聲聯合干擾下的復諧波信號和復線性調頻信號為觀測模型，分別構造了基於不同階次的循環矩估計量，從理論上推導出了估計量的大樣本方差表達式，分析了估計量性能與噪聲統計特性的約束關系，通過monte - carlo模擬試驗得到了估計性能的曲線，驗證了推導的有關結論。 -
Allan variance estimated by simulated noise and calculated theoretically using power law model are well matched. the effect of phase noise on azimuth focusing is given by monte carlo experiment
模擬相噪得到的allan方差估計值與冪律模型得到的allan方差理論值符合得較好。 -
The iterative decoding of ldpc code must use the noise variance, so the variance estimation is important for the ldpc code decoding. by the computer simulation, we find that the impact of the estimation algorithm for the ldpc code performance is less than 0. 2db
通過計算機驗證得到，利用這種演算法估計出的誤差對碼字的性能不會有大的影響，在最差的情況下對spa譯碼演算法和改進的wbf演算法的影響都不會超過0 . 2db 。 -
( 2 ) a method of regarding the target speed constraints as additional measures and addsing it to measure equation is presented, the constraints intensity is decided by noise variance. it can improve the location precision of the modified gain extended kalman filter
2給出一種把運動目標（敵艦艇）的航速約束當作增加的測量值加入到測量方程的方法，約束的強度由約束條件的噪聲方差確定，可提高修正增益推廣卡爾曼濾波定位演算法的定位精度。 -
Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented
基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。 -
Aim at the limit of map - tuned variance method, we use directional noise to handle the motion along different road. then, we evolve the general formula to judge whether the target is on road or not, and present " extended map - tuned variance method "
針對地圖調整方差法的局限性，引入方向性過程噪聲來表徵目標在不同的道路上運動，推導出判斷目標在道路上的一般公式，提出「擴展地圖調整方差法」 。 -
In one model the measurement errors consist only of the " standard " measurement noise, while in the other the measurement errors are dominated by the multipath effects. the interacting multiple model ( imm ) rithm automatically increases the variance of the altitude estimate and alleviates the iv. uiiipath effects, when the measurements are degraded
其中交互多模（ imm ）演算法中，建立兩種模型，一種模型中觀測方程的觀測噪聲為方差較小的一般性噪聲，另一種模型中觀測方程的觀測噪聲為方差較大的相關噪聲，用來表徵多路徑傳播引起的尖峰誤差。
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