white noise signal 中文意思是什麼
white noise signal
解釋
白噪聲信號-
When sampling period is very low or close to ideal case for signal detection in additive gaussian white noise ( agwn ), the detection circuit with matched filter is optimal
摘要在加性高斯白噪聲信號檢測中，在采樣周期極小或接近理想的情況下，連有匹配濾波器的檢測電路是最佳的。 -
This paper applies wavelet theory to process data analysis, mostly focusing on signal de - noise and data compression. the main contributions of this thesis are as follows : 1 ) as discussion and experiment of de - noise method for removing white, noise from pulp thickness signal, a method was developed by utilizing the different characters of evolution of the wavelet transform maximum across scale of efficient signal and noise
本文所作的工作如下： 1 ）利用小波變換下有效信號和噪聲在多尺度空間中不同的模極大值傳播特性，給出了一種去除紙漿濃度檢測信號中的白噪聲的演算法，編制了相應的程序，作為對紙漿濃度檢測信號去噪方法的初步探討和嘗試。 -
In vibration test, the signal is always along with noise. if the noise belongs to white noise, fourier transform is very suit to identify and process it, after then remove it. but when there exists low energy impact signal, traditional band pass filter remove noise and the precise position of impact signal is blured
對于白噪聲，由於它是穩定信號，所以也可以使用fourier變換定位，以便在合適的頻段進行提取。但是對于低能量突變瞬態信號，在信噪比比較低的情況下，由於帶通濾波的平滑作用，瞬態信號的位置信息也變得很模糊了。 -
A practical approach has been brought forward that the priori information of signal and the external parameter do n ' t needed, on the basis of summarizing the methods of white noise elimination with wavelet and the different lipschtiz exponents and characters in time - scale plane of white noise and pd
本論文在總結各類小波去除局放信號中白噪方法的基礎上，根據白噪和局放信號的不同李氏指數以及在時間一尺度平面上的不同特徵，提出了一種不需信號的先驗知識和外部參數設定的適合局部放電信號處理的實用方法。 -
White noise acting as inspirit signal, the experiment data is collected. utilizing these data and error back propagating identification method, different neuron and input - output delay are selected. by comparing approximation ability and generalization ability, the neural networks model in position mode and velocity mode is identified
並以模擬白噪聲為激勵信號，收集了數據;利用實際收集的數據，採用誤差反傳的辨識方法，選擇不同神經元及輸入輸出延時量的模型，通過比較網路的逼近能力和泛化能力，辨識得到了位置和速度兩種工作模式下的方位通道的神經網路模型。 -
The white gaussian noise was successfully separated from noise signal in low - field pulse nmr system and its parameters were estimated by using this method
採用該方法從實際低場脈沖核磁共振系統噪聲信號中分離出高斯白噪聲並對其進行了參數估計。 -
Besides, we use software smooth filtering to minish the influence of white noise and high - frequency noise, ground connection and shield technology to eliminate electromagnetic interference, and rational circuit distribution to attain high signal - to - noise of the whole fiber optic weak magnetic sensor system
另外，採用軟體平滑濾波等處理以減小白噪聲和高頻噪聲的影響，利用接地及屏蔽技術消除外界的電磁干擾，並對電路進行合理布局布線，以獲得高信噪比的光纖微弱磁場傳感器系統。 -
When there is a weak periodic signal is included in a bistable system, the effects of noise on the stochastic resonance in the system is investigated if both multiplicative and additive noise are white noise while the coupling between the two noise terms is colored noise
當雙穩系統中包含有一個微弱的周期性信號，而乘性噪聲和加性噪聲都是白噪聲，只有兩種噪聲之間的禍合為色噪聲時，我們研究了系統的噪聲對隨機共振的影響。 -
Based on the normal equation algorithm to fir system identification and wavelet iteration, a method to estimate the wavelet from the third - order cumulant of field data is developed. due to the fact that higher order cumulant retains the phase information of the signal, and can suppress the gaussian noise ( color or white noise ) naturally, we can improve the time resolution via inverse filtering the wavelet estimated
本文在基於高階累積量的fir系統辨識基礎上，利用觀測信號的三階累積量對探地雷達子波進行估計，提出一種簡單的迭代演算法改善了波估計性能，據此進行反褶積，改善反射信號的信雜比和時間解析度。 -
The solution can greatly upgrade the anti - jamming ( especially white noise ) ability of fh system. according to the ratio of noise power to signal power, the length of code can be selected to guarantee the normal communication
該方案能有效的提高跳頻系統對抗白噪聲的能力，根據干擾相對于信號的強度，採用適當長的碼，跳頻系統將總能正常運行。 -
Wavelet packet decomposition based on entropy threshold for white - noise rejection in pd signal
基於門限值小波包變換抑制局部放電白噪干擾 -
The arithmetic formulas for sine wave, linear frequency modulation signal, v - style frequency modulation signal, white noise signal, reverberation signal and echo signal are given by their definition
根據信號類型的定義，給出了正弦信號、線性調頻信號、 v型調頻信號、白噪聲、混響和回波信號的合成公式。 -
Secondly, combining the unified colored noise approximation and the functional analysis, the steady state distribution function is derived when both multiplicative colored noise and additive white noise are included in a bistable system with colored coupling between two kinds of noise. through the two - state theory, the expression of signal - to - noise ratio ( snr ) is obtained. the phenomenon of stochastic resonance is investigated
其次，我們綜合運用統一色噪聲近似和泛函近似的方法，推導了含有乘性色噪聲和加性白噪聲，並且兩種噪聲之間的耦合為色噪聲的雙穩非線性系統的定態分佈摘要不同類型的色噪聲對非線性光學系統的影響函數，然後通過雙態理論求出系統信噪比的解析表達式，對系統的隨機共振現象進行分析。 -
Then on one hand, author makes researches of anti - jamming against pulse jamming 、 gauss white noise jamming and radio frequency noise jamming from the side of signal processing. author exercises much signal processing knowledge of time - domain sliding window accumulation 、 wavelet analysis 、 time - frequency analysis and linear prediction and carries out many simulation experiments. on the other hand, author proposes the anti - jamming methods of using a sar similar to double - base radar and modulating the amplitude 、 the phase of emission signal and changing the frequency modulation slope from the side of changing sar system model
作者首先提出了合成孔徑雷達抗干擾的定義、分類以及評價抗干擾方法好壞的主客觀標準；然後，一方面從信號處理的角度出發對脈沖式干擾、高斯白噪聲干擾以及射頻噪聲干擾進行了抗干擾研究，其中運用了時域滑動窗口積累，小波分析，時頻分析以及線性預測等信號處理知識，做了大量的模擬實驗；另一方面，本文基於改變合成孔徑雷達系統模式提出了利用類似雙基地雷達來抗干擾，以及對發射信號進行調幅、調相以及改變調頻斜率來抗干擾，同樣做了相應的模擬實驗。 -
A novel method for multi - scale denoising based on wavelet transform is given in chapter 2. the new method improves the threshold - processing algorithm and present the form of white noise standard deviation at each scale. simulations show that while getting rid of noise mostly, this algorithm keeps the main edges of signal well
該演算法對常規閾值方法進行了改進，給出了各尺度上噪聲方差的計算公式，對多個非平穩信號消噪問題進行了對比模擬研究，模擬結果表明該演算法不但能進一步提高非平穩信號的消噪精度，而且能保留信號主要細節。 -
On the base of briefly introducing the wavelet analysis theory and nonlinear wavelet de - noising theory by soft - thresbolding, some examples of signal recovery with white - noise heavily polluted are given in the paper
本文在簡述了小波分析及噪聲分離的非線性小波理論的基礎上，給出了從噪聲污染信號中恢復原信號的實例。 -
In chapter 4, i performed the analyzing work with wavelet and fastica and find that wavelet was a high efficient way to filter the cep signal when i set the wavelet and scaling function to haar, decomposing level to 4, threshold method to fixed to threshold and white - noise structure to scaled white - noise. it took the advantage that reduced the accumulating times to 60 with more smooth signal and less distortion. but fastica takes no advantage on this facet
本文通過小波變換和獨立分量快速分析模式識別的方法對cep數據進行了分析處理，同時與數字低通橢圓濾波器的處理效果進行了比較，發現用小波對cep的數據進行濾波處理時，可以將數據的疊加次數從120降低到60次左右，且信號的質量要比以前的處理方法好；但是獨立分量快速分析方法效果不很好。 -
In the past, we used to analyze speech signal and filter the noise by short - time fourier transform in the frequent domain. however, this method is not effective to the white noise
在過去，我們一般使用短時傅立葉變換（ sfft ）在頻域內對語音信號進行分析降噪，但是對于白噪音，這種方法的效果往往不盡人意。 -
Threshold de - noising in wavelet domain is an efficient algorithm to reduce the white noise in digital signal
摘要小波閾值降噪演算法是一種去除數字信號中白噪聲的有效演算法。 -
In the case of white noise, we research the system stochastic differential equation and fokker - planck ( fpk ) equation detailedly. the mechanism of sr is re - explained by system response speed and a new method is introduced, i. e., psr theory and method. it is shown that the output signal - to - noise ratio ( snr ) obtained by adjusting systems parameters can exceed that by turning noise intensity, especially when the input noise intensity has already been beyond the resonance region or point
在白噪聲假設下，以系統隨機微分方程和其概率密度滿足的fpk方程為基礎，本文詳細地探討了非線性雙穩態信號處理系統輸出的數字特徵，引入了系統響應速度，重新解釋了隨機共振現象產生的機理；通過系統參數調節，而不是調諧噪聲來產生隨機共振現象，提出了參數調節隨機共振理論和方法。
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