波函数

It is because that detonation and deflagration waves cannot propagate in the same direction when f is convex.

这是因为在流函数为凸的条件下，爆轰波只能是前向波而爆燃波只能是后向波，它们不能在同一方向上传播因而也就不可能出现上述转化。

Thesolutions compose self-contained inner product space (weight function is constant 1),i.e., they are basic series of Hilbert space; hence any internal waves could beexpanded into generalized Fourier series. With difference method, Sturm-Liouvilleequation is transformed to matrix eigenvalue problem. Each eigenvalue is related to ahorizontal wave number, and relevant solution is a certain mode of internal wave.

其解系构成完备的加权(权函数为1)内积空间，即Hilbert空间，从而内波现象可以展成该解系的广义Fourier级数；采用差分方法，将 Sturm-Liouville 方程转化为矩阵特征值问题，每一个特征值对应一个内波波数，该特征值对应的解则是内波的某一模态。

Tansformed the real part and imaginary part of interferogram to stationary wavelet domain, analyzed the PDF of signal and noise wavelet coefficients using Pearson distribution system, then evaluated the wavelet coefficients of signal in stationary wavelet domain by Maximum A Posterior criteria to reconstruct the interferogram.

2将干涉图的实部和虚部分解到静态小波域，用Pearson分布系作近似，分析了信号和噪声小波系数的概率密度函数，在静态小波域用MAP准则估计信号的小波系数用于干涉图的重建。

Padé approximation is an effective rational approximation.Using the first derivative of Gaussian function as basic wavelet,Pad conversion is used to obtain its rational fraction approximation.

采用高斯函数一阶导数作为基本小波，用Padé变换获得其有理分式逼近，利用开关电流技术实现小波滤波器可获得小波变换所需的基本小波及其膨胀小波。

Moreover, during the radar signal generation, static and dynamic characters of backscattering coefficient are set up, and time sampling of each clutter unit is computed with voltage character and power spectrum character, and the sampling signals are added in every distance gate to output time series. In addition, noise is modeled with a function of Gaussian stochastic process.

在雷达信号模拟中，建立了杂波后向散射系数的静态和动态特性，从杂波的幅度统计特性与功率谱特性入手，计算了每个杂波单元的时域采样，按照对应的距离门叠加各个距离模糊间隔上的回波信号并形成时间序列，并采用一个高斯随机过程的样本函数来表示噪声模型。

And we used them into the inspection of these polluted gases. We used them because the constringent speed of wavelet neural network is very fast, they are not sensitive to the inputs of the network and they have the characteristic that they also can effectively approach the functions or signals. Classical neural networks mostly train the network with back propagation algorithm.

在目前常用的一维小波神经网络的基础上，我们研究了用来处理多维数据信息的小波神经网络，并将其应用于室内混合气体检测，主要是基于小波神经网络学习收敛速度较快，对网络输入不是很敏感，以及小波神经网络可以有效的进行函数逼近或者信号逼近的特点。

In this paper, we define quadratic spline as wavelet, do the two dimentional dyadic wavelet transform on near-infrared galactophore image, and get local modulus maxima from wavelet transforms results----rnodulus and angles, so we can find the blood vessel edge image in each scales, at last, we compute a good edge image which synthesize the characters in each scale.

本文中用二次样条小波作为小波基函数，对乳腺近红外图像进行二维二进小波变换，计算小波变换结果的局部模极大值点，得到各个尺度下的乳腺近红外图像血管的边缘，最后得到综合了各个尺度特征的较好的血管图像的边缘。

The tight wavelet neural network was constituted taking the nonlinear Morlet wavelet radices as the stimulant function. The idiographic algorithm was presented. It can combine the advantages of wavelet analysis and neural networks.

以非线性Morlet小波基作为激励函数，形成神经元，结合小波变换与神经网络各自的优点，建立集小波分析与神经网络于一体的紧致型小波神经网络，并给出了具体的算法。

Can have many kinds of profiles, like the triangular wave, the saw-tooth wave, the rectangular wave (including square-wave), the sine wave electric circuit are called the function signal generating device.

能够产生多种波形，如三角波、锯齿波、矩形波、正弦波的电路被称为函数信号发生器。

Function is a signal generator capable of producing a variety of waveforms, such as the triangle wave, saw tooth wave, rectangular wave, sine-wave circuit.

函数信号发生器是一种能够产生多种波形，如三角波、锯齿波、矩形波、正弦波的电路。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。