output wavelet 中文意思是什麼
output wavelet
解釋
輸齣子波-
Output can be obtain, next we use our designed the wavelet soft threshold to select result of the wavelet transform, finally, we give the selected result reversal wavelet transform. it is obvious : the wavelet soft threshold is important to improve the quality of the gray image processing. i give the donoho wavelet soft threshold a modified value method, which has a relation with ratio of signal - noise. i made full use of discrete hop field single feedback neural network, and nonlinear steady of automatic system at last, i obtained a steady limited ring, give the energy function an order differential a optimal
我的思路是：改造現有圖形結構，先建立能反映信噪比大小且含待定參數k的表達式，然後通過離散型h0pfi舊單層反饋神經網路，再結合前邊的混合濾波器構成一個非線性控制系統，寫出對應的網路函數，利用相平面法和李雅普諾大穩定性的判據，得到一個穩定的極限環，從而確定出參數卜的范圍，進而再對原來的小波軟閾值進行修正，用修正後的值作為小波閾值。 -
The real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first, then the two items were modeled by chaos theory and the stepwise regression algorithm, at last the output of the two models were added together.
論文首先藉助小波分析，將實測徑流時間序列分解為高頻項和低頻項兩項，其次對這兩項分別用混沌理論和逐步回歸理論建模，其中混沌預報藉助基於自組織法求解的的volterra級數來完成，然後將兩者結果疊加起來。 -
Theoretically, on the basis of the analyses of the errors of typical units in measurement systems, the concept of the separating and tracing of the output errors is advanced. its methods are discussed and compared. the analysis method of generalized wavelet - neural network ( wnn ) is applied
在理論上，首先在進行測量系統典型單元誤差分析的基礎上，論述了誤差分解與溯源的理論思想，並探討了進行動態誤差分解與溯源的方法，經過比較，確定了應用廣義小波神經網路的分析方法；然後，論述了精度損失診斷的理論與思想。 -
The wavelet transform filter and infinite impulse response ( iir ) digital filter is applied, and the output signals of the three filters are compared
此外，本文還對陀螺信號進行了小波變換濾波和iir數字濾波器濾波並對上述三種方法的濾波性能進行了對比分析。 -
So, in this section, a double - passage 4f wavelet filtering optical system is put forward, combining with the visual computation theory. the dog wavelet function is selected in the filter system, and the output images are just the expected, hi this part, an optical - electrical mixed system model is also mentioned, which has the advantages both in optical processing and digital processing system, such as real - time > intelligence
因此，文章在這一部分提出了一個雙通道4f小波濾波光學系統，並結合視覺計算理論，選擇了適合的小波母函數? ? dog函數製成濾被模片，對輸入圖像進行了不同尺度下的信息提取，得到了期望的輸出。 -
Frequency - domain equalization. at the same time discusses some key problems in ofdm : high ratio of peak - to - average power of output signals, problem of synchronization, channel estimation, adaptive bit, power and subcarrier allocation. emphasize on channel estimation, and present a new algorithm which can filtering more interpolation errors and noise. for the sake of improve the performance of resist narrowband noise and make efficient use of the spectrum apply malvar wavelet division
同時就ofdm系統中的一些關鍵問題如峰值平均功率比（ papr ）太高，同步問題，通道估計，通道、比特與功率必須動態分配進行了研究，著重研究了通道估計問題並提出一種改進的方法，能濾除更多的噪聲分量和插值誤差，提高系統的性能；為了提高抗窄帶噪聲的性能和提高通道利用率，用malvar小波變換實現了不等帶寬分配。 -
In the latter, that is in two - position alignment, the method of wavelet analysis is used to filter the output signal of optic fiber optic gyro, at last, the direction cosine matrix is gotten, the inertial components are demarcated,
在自對準中，利用二位置初始對準，運用小波分析對光纖陀螺的輸出信號進行濾波，並且確定初始方向餘弦矩陣並對慣性元件進行標定。 -
Based on this frequency domain model, after an mlp network training, the input - output characteristics of the device as well as the volterra series kernal function, which is hard to be determined by traditional approaches, is obtained with satisfactory accuracy. 3. a wavelet neural network training method is used for the optimization of a microwave circuit
3 ）把基於小波的神經網路訓練方法用於微波電路的優化，通過對由微帶線組成的低通濾波器參數的模擬和優化，表明了在得到較好優化結果的情況下，其優化時間大大降低。 -
Wavelet networks are used to model the prediction error to compensate for the predictive output
為了提高輸出預報精度，採用小波網路對預報誤差進行預測，作為輸出預報的補償。 -
To solve this problem, the output signal of the sensor with additive noises were decomposed, denosied and reconstructed by wavelet analysis
利用消噪后的信號，通過系統辨識方法建立傳感器動態特性的補償環節。 -
Based on the analysis of autonomous underwater vehicle ( auv ) sensor failure, diagnosis methods corresponding to three kinds of sensor failure are presented, that is, through that no sensor output for a long time to diagnose the fault of sensor signal gathered keeping unchanged, linear smoothing to solve the vibration of sensor signal, wavelet transform to inspect the broken sensor signal
摘要在分析水下機器人傳感器故障形式的基礎上，對傳感器可能出現的三種故障形式分別給出了相應的診斷方法，即通過傳感器長時間採集不到數據來診斷傳感器信息保持不變的故障，線性平滑濾波解決傳感器輸出振蕩，小波變換檢測傳感器信息的突變。
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