Description: 我编写的利用trous（多孔算法）实现小波变换，利用‘db4’小波函数分解两层，其中卷积运算采用频域的fft算法，给出了仿真信号的处理结果。-prepared by the use of trous (porous algorithm) to achieve wavelet transform, use 'db4' wavelet decomposition layers, which used convolution operators fft the frequency domain algorithm, given the signal processing simulation results. Platform: |
Size: 1024 |
Author:高锋 |
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Description: 提出了一种离散小波变换域实现图像水印的方法。这种算法充分利用小波变换的特点,把原始图像及水印图像塔式分解,在多分辨率分解后的相同的频段来嵌入水印信息。该方法也利用了人眼视觉特性,算法简单而有效。实验证明,该算法较好地解决了水印不可见性与鲁棒性之间的矛盾,对常见的水印攻击都有较强的鲁棒性。-presents a discrete wavelet transform domain image watermarking method. This algorithm using wavelet transform characteristics, the original image and the watermark image tower decomposition, Multiresolution decomposition in the same frequency band to the embedded watermark. The method has also been used HVS, the algorithm is simple and effective. Experiments show that the algorithm can solve the watermark is visible with the robust nature of, common to have more attacks watermark robustness. Platform: |
Size: 151552 |
Author:yy |
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Description: The purpose of this paper is to address the following problem: How can
existing sequential simulators be utilized in developing parallel simulators
for the numerical solution of partial di erential equations (PDEs)? We dis-
cuss this issue in the light of object-oriented (OO) programming techniques,
which can substantially increase the eciency of implementing parallel PDE
software. Our parallelization approach is to use domain decomposition (DD)
as an overall numerical strategy. Platform: |
Size: 83968 |
Author:mirtchev |
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Description: 该文针对具有两个相互重叠频率成分的密集频谱 ,分析了两个重叠频率成分在复频域的叠加情况 ,在不增加采样长度的条件下 ,通过向量分解和单频率成分的识别、校正方法 ,推导出其校正公式。-In this paper, with two overlapping frequency components of the dense spectrum of two overlapping frequency components in the frequency domain stacking situation, in terms of not increasing the sample length, through the vector decomposition and single-frequency components of the identification, correction derived the correction formula. Platform: |
Size: 153600 |
Author:巴山竹 |
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Description: In this paper, we investigate the timing and carrier
frequency offset (CFO) synchronization problem in decode and
forward cooperative systems operating over frequency selective
channels. A training sequence which consists of one orthogonal
frequency-division multiplexing (OFDM) block having a tile
structure in the frequency domain is proposed to perform synchronization.
Timing offsets are estimated using correlation-type
algorithms. By inserting some null subcarriers in the proposed tile
structure, we propose a computationally efficient subspace decomposition-
based algorithm for CFO estimation. The issue of optimal
tile length is studied both theoretically and through simulations.
By judiciously designing the tile size of the pilot, the proposed
algorithms are shown to have better performance, in terms of
synchronization errors and bit error rate, than the time-division
multiplexing-based training method and the computationally demanding
space-alternating generalized expectation-maximization Platform: |
Size: 985088 |
Author:ashish |
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Description: 计算时间序列的快速傅里叶变换并画出时域和频域图，之前进行小波降噪。-Calculate the time series and fast Fourier transform time-domain and frequency domain plot diagram, before wavelet decomposition. Platform: |
Size: 1024 |
Author:lijie |
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Description: main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m
The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting.
A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform.
* Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets. Platform: |
Size: 210944 |
Author:elfrania |
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Description: 小波区域分解的头部三维模型重构Wavelet domain decomposition in the head three-dimensional model reconstruction-Wavelet domain decomposition in the head three-dimensional model reconstruction Platform: |
Size: 478208 |
Author:ski |
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Description: 时域分解FFT算法,以FORTRAN代码实现。本程序利用结构体表示复数。-FFT time domain decomposition algorithms to FORTRAN code. The program uses structure that plural. Platform: |
Size: 10240 |
Author:智庆全 |
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Description: Stokes外问题的一种重叠型区域分解法Stokes exterior problem of an overlap domain decomposition method-Stokes exterior problem of an overlap domain decomposition method Platform: |
Size: 541696 |
Author:abby99 |
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Description: 双曲方程的域分解,该模型显示了如何使用域分解技术求解迭代算法。
系数形式PDE u1（c4）求解u1
系数形式PDE u2（c）求解u2
系数表PDE v1（c2）将u1存储到v1
系数表PDE v2（c3）将u2存储到v2
然后计算并迭代如下：
1.计算初始化U
2.在“ LOOP”>“ Step1”>“变量值未解决”中：选择“解决方案”：“ Init U”，然后“计算”
3.在“ LOOP”>“ Step1”>“变量值未解决”中：选择“解决方案：LOOP”，然后根据需要进行多次计算以收敛(Domain decomposition for hyperbolic equations
This model shows how to solve an iterative algorithm using domain decomposition techniques.
Coefficient Form PDE u1 (c4) solves for u1
Coefficient Form PDE u2 (c) solves for u2
Coefficient Form PDE v1 (c2) stores u1 into v1
Coefficient Form PDE v2 (c3) stores u2 into v2
Then compute and iterate as follows:
1. Compute Init U
2. In LOOP > Step1 > Values of Variables not solved for : select Solution : Init U , then Compute
3. In LOOP > Step1 > Values of Variables not solved for : select Solution : LOOP, then Compute as many times as necessary to converge) Platform: |
Size: 143360 |
Author:WilderPO |
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