Along with the widespread applications of wavelet transform in pattern recognition, image compression, pronunciation code and information hideaway, the wavelet filter design become more and more important in recent years.

隨著小波變換在模式識別国内JIZZ、圖像壓縮久久噜天天噜日日噜、語音編碼和信息隱藏等方面的廣泛應(yīng)用超碰在线播，小波濾波器設(shè)計成為了近年來小波理論研究中一個重要的研究領(lǐng)域男人扒开女人的腿桶到爽视频。

Using Wavelet neural networks, wavelet decomposition will constitute the basis function of the implicit function neurons.

詳細說明：用小波構(gòu)造神經(jīng)網(wǎng)絡(luò)可以手机在线观看黄色网站，將小波分解的基函數(shù)構(gòu)成神經(jīng)的隱函數(shù)亚洲爱爱小视频。

At first, the last low-frequency image after wavelet decomposition can be an initial approximation of the next low-frequency image. It is tested and verified that the last low-frequency image can diffuse and converge to the next low-frequency image. On the other hand, the next low-frequency image can also diffuse and converge to the last low-frequency image. Above process just presents the gradual variation of wavelet decomposition and reconstruction.

首先，用小波分解后下層的低頻圖像作為對上層低頻圖像的一個初始近似，驗證了由上層低頻圖像經(jīng)方向擴散方程可逐漸擴散收斂到下層的低頻圖像在线观看麻豆；反過來av在线.con，由下層低頻圖像經(jīng)方向擴散方程亦可逐漸擴散恢復(fù)到上層低頻圖像，這正體現(xiàn)了小波分解與重構(gòu)的漸變過程欧美特級黄片。

The topics are divided into eight chapters and two appendices, is to learn from the preamble of Chapter 1 to Chapter 7 of the preparation of knowledge, that is, inner product space Chapter 1 on the basis of Fourier series of knowledge Chapter 2 on Fourier Transform Chapter 3 introduced the Discrete Fourier Transform and Fast Fourier Transform Chapter 4 to Chapter 7 to discuss wavelet, with emphasis on construction of orthogonal wavelet appendix describes slightly complex themes, as well as a number of technical concepts or produce demo MATLAB graphics code

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This approach is a combination of signal analysis and mathematical model .By the denoising function of wavelet and the learning itself function of neural network , the input and output nonlinear dynamic characteristic of system is obtained . The output prediction error, generated from the real output and wavelet neural networks estimated output, is used as a residual error to execute logical judge. and this approach can improve the speed and accuracy rate of fault detection.

它是一種把信號分析和數(shù)學(xué)模型相結(jié)合的故障檢測方法精品自拍偷拍视频，通過小波對信號的去噪和神經(jīng)網(wǎng)絡(luò)的自學(xué)習(xí)功能，來獲取系統(tǒng)輸入輸出的非線性動力學(xué)特性亚洲精品无码av中文字幕电影网站，進而實時計算出殘差并進行邏輯判決ww97在线观看，可提高故障檢測的速度和準確率。

Based on the multi-resolution analysis of wavelet, it gives a multiresolution network to combine the noise insensitiveness ability of wavelet and edge enhancement ability of the Lateral Inhibition network.

第四：將小波變換抑制噪聲的功能和側(cè)抑制網(wǎng)絡(luò)增強邊框的功能有機結(jié)合成年黄页网站，獨立提出一種基于小波變換的多分辨率分析的側(cè)抑制網(wǎng)絡(luò)的改進方法日黄色网址。

Combining with discrete wavelet transform, the integral wavelet transform has been realized on hardware system, and the experimental results are satisfying.

同時結(jié)合離散整數(shù)小波變換算法，在硬件系統(tǒng)上實現(xiàn)了整數(shù)小波變換哪里有三级片网址，取得了較好的試驗效果日本少妇一级免费黄色视频。

The digital algorithms of integral and discrete wavelet transform are presented for purpose of electric power system protection, based on the analysis of wavelet transform for sampled digital signals under the Shannon sampling theorem.

從電力系統(tǒng)繼電保護應(yīng)用的角度，結(jié)合香農(nóng)采樣定理深夜aV片在线观看网站，深入探討了連續(xù)信號和離散信號的小波變換的關(guān)系，給出了離散信號的積分小波變換和離散小波變換的數(shù)字計算方法免费。色婬。從理論上研究了信號小波變換的誤差與尺度函數(shù)和小波函數(shù)的關(guān)系亚洲视频在线免费。

The current signals were gathered in the tests, and processed by wavelet package transform. A characteristic vector was constructed by the energy of different frequency segment, which was calculated by using the coefficient of wavelet package transform of the current signals. The vector shows that the energy of low frequency segment is of the majority of the total energy, and becomes larger as the interelectrode gap decreasing.

在線采集真實電解加工過程中的電流信號，用對實測信號進行小波包分解和重構(gòu)后的小波系數(shù)計算各頻段的能量美女操逼视频污网站，構(gòu)造一個由不同頻段能量組成的特征向量一级黄色视频九九影院，發(fā)現(xiàn)特征向量的低頻分量占總能量的大部分，隨著平衡間隙的減小亚洲,欧洲,乱伦，低頻分量能量增大沈阳老女人叫床脏话对白。

Wavelet transform filter processing, including low-pass, high-wavelet and a number of the inverse transformation operation.

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