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紧支撑小波基的构造。
以Daubechies小波滤波器系数为例，推导出小波函数及尺度函数，并画出其图像.
void Convolution(double* pShortData, int nShort, double* pLongData, int nLong)
int CalcScaleFunction(double* pOutData)
int CalcWaveletFunction(double* pOutData)
Convolution()不是通用的离散卷积代码，而
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小波轉換(Discrete Wavelet Transform, DWT)，所先對原圖水平做低頻和高頻的
convolution 之後降 頻，再做垂直的低頻和高頻的convolution，最後再降 頻，得到
結果。-Wavelet transform (Discrete Wavelet Transform, DWT), the first level of the Original low-frequency and high frequency of the c
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一维离散小波变换和逆变换 mallat算法的实现，不是用卷积实现-One-dimensional discrete wavelet transform mallat algorithm, not the realization of convolution
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基于MATLAB卷积积分与离散积分——方波与单边指数信号卷积及卷积过程演示-With discrete integral convolution integral, square wave and the unilateral exponential signal convolution and deconvolution process demonstration
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E ective image compression requires a non-expansive discrete wavelet transform (DWT) be
employed consequently, image border extension is a critical issue. Ideally, the image border
extension method should not introduce distortion under compressio
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