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[Wavelet] 二维小波变换 DL : 0: 关于二维小波变换的程序 [精华] 说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W* A* W, anti-Transform : A = W* A* W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the difficult reconstruction matrix. If a clear matrix concept, a home to a total o
Date : 2025-12-29 Size : 3kb User : 罗松溪
[Wavelet] SWT DL : 0: 采用a trous算法实现静态小波变换(SWT), 分解两层,可很好的实现降躁.-A trous algorithm using a static wavelet transform (SWT), decomposition of a two-tier could be a good realization of descending impatient.
Date : 2025-12-29 Size : 1kb User : 李澍
[Wavelet] JPEG2000_006.pdf DL : 0: 本文提出了一种基于提升算法的高效JPEG2000二维离散小波变换(2D—DWT)~ 结构，将边界延拓内嵌于离散小波变换过程中，减少了所需的内存空间和功耗。采用W 扫描输入方式和行列并行处理结构，加快了变换速度，大大提高了小波变换的效率。整个二维离散小波变换结构已经通过FPGA硬件仿真验证。-This paper presents a highly efficient algorithm based on lifting JPEG2000 two-dimensional discrete wavelet transform (2D-DWT) ~ structure, the boundary extension will be embedded in the process of discrete wavelet transform to reduce the required memory space and power consumption. W scanning input methods used and the ranks of parallel processing structure, and accelerated the pace of change has greatly enhanced the efficiency of wavelet transform. The whole structure of two-dimensional discrete wavelet transform has been adopted FPGA hardware simulation.
Date : 2025-12-29 Size : 178kb User : H Simon
[Wavelet] cwt-ccode DL : 0: 连续小波变换程序，输入二进制文件，然后然后进行小波变换 C语言程序-/*this program compute the contious wavelet transform of the signal in a data file using the Professor A.Grossman s approach. the analyzing basic wavelet is modulated gaussian: exp(iwt)exp(-t**2/2)where w si the oscillation frequence w=5.
Date : 2025-12-29 Size : 2kb User : willee
[Wavelet] WaveletTransformsinMATLAB DL : 0: 执行一维和二维小波变换在MATLAB环境中。十几包括的小波函数有： * Haar * Daubechies 1-6 * Symlets 1-6 * Coiflets 1 and 2 * Splines and reverse splines * CDF 9/7 and Le Gall 5/3 * S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2) * Two Ten "TT" * Low-complexity design * HVS design Visual 9/3 -Description Perform 1D and 2D wavelet transforms in MATLAB. WAVELET(W,L,X) computes the L-stage discrete wavelet transform (DWT) of signal X using wavelet W. For the inverse transform, WAVELET(W,-L,X) inverts L stages. Included wavelets are * Haar * Daubechies 1-6 * Symlets 1-6 * Coiflets 1 and 2 * Splines and reverse splines * CDF 9/7 and Le Gall 5/3 * S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2) * Two Ten "TT" * Low-complexity design * HVS design Visual 9/3
Date : 2025-12-29 Size : 10kb User : chen huayi
[Wavelet] Fouriertransform DL : 0: 用振幅为0.8的方波进行傅立叶分析，并用分析得到的系数求解当K取不同值时的合成信号- F = FOURIER(f) is the Fourier transform of the sym scalar f with default independent variable x. The default return is a function of w. This example is useful for the persons who learn sth about signal processing.
Date : 2025-12-29 Size : 1kb User : 刘戈