资源列表
ConstructWaveBaseFunction.rar
- 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
ICA-R8162.rar
- 将小波分析算法应用到ica-r中，使整个算法运行时间下降60％左右。,Wavelet analysis algorithm will be applied to the ica-r in the whole algorithm running time decreased by around 60.
VirtualOscilloscope.rar
- 虚拟示波器 可以用的 也可以仿造自己做,Virtual Oscilloscope can be used to do can also copy their own
WaveletTransform.rar
- 小波变换及其MATLAB工具的应用（一本小波变换的实用性小册子）,Wavelet Transform and Its Application of MATLAB instrument (a practical booklet Wavelet Transform)
wavelet.zip
- 带点中文注释的小波变换，计算频率谱用的，适合初学者。,A bit of English Notes wavelet transform, used in calculating the frequency spectrum, suitable for beginners.
mycode.rar
- code for shadow detection using wavelet in images,code for shadow detection using wavelet in images
computeext.rar
- 利用小波变换模极大值方法进行信号检测的实验，下面是我在MATLAB中做的程序,Using wavelet transform modulus maxima method of signal detection experiments, the following is what I do in the MATLAB procedure
homework.m.rar
- 小波图像的分解与合成，采用非标准小波变换方式，在四个不同的窗口分别对输入的图像进行三级小波变换的全过程,Wavelet image decomposition and synthesis using wavelet transform non-standard way, the window in four different input images were carried out on three levels of the whole process of wavelet transfo
FreControlRand.rar
- 是用蒙特卡洛算法 求解的正弦拟合曲线， 收敛于0.000000001； 还用到了伪随机数。 愿我们共同提高，一起进步！,Monte Carlo algorithm is the sine curve, converges to 0.000000001 also used the pseudo-random number. We would like to improve, with progress!
test4_wavelet_DIPUM.rar
- 用二维小波包分解得到水平垂直细节系数，据此组合合成图像的边缘，并与传统算子方法对比,Two-dimensional wavelet packet decomposition has been the level of vertical detail coefficient, which images the edge of combinatorial chemistry and operator with the traditional methods
TestDlg.rar
- 小波变换用c++实现，并且用示波器类给出了变换过程和结果，是实际工程的一部分。,wavelet is realized by c++ and displayed by DUI.
denoisedemo.rar
- contourlet变换在去噪方面的应用，并与小波变换在信噪比方面的比较。,contourlet transform in the application of denoising, and wavelet transform in signal to noise ratio comparisons.