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[Other resourcetuous

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: 1033 | Author: 高锋 | Hits:

[Software Engineeringwatermark_2

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: 151372 | Author: yy | Hits:

[Windows DevelopFDD

Description: 频域分解法Frequency Domain Decomposition(FDD) Programe,识别振型和频率
Platform: | Size: 1280 | Author: xuxiaoxia | Hits:

[matlabtuous

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 | Hits:

[Software Engineeringwatermark_2

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 | Hits:

[Windows DevelopFDD

Description: 频域分解法Frequency Domain Decomposition(FDD) Programe,识别振型和频率-Frequency Domain Decomposition Method Frequency Domain Decomposition (FDD) Programe, identification of vibration mode and frequency
Platform: | Size: 1024 | Author: xuxiaoxia | Hits:

[Windows DevelopFFT

Description: 自己编写的一个基2时间分解的FFT,程序实现了基2的时间序列从时域到频域的转换。希望对大家有用-I have written the time of a radix-2 decomposition of the FFT, program implementation of the base 2 of the time series from time domain to frequency domain conversion. Want to be useful to everyone
Platform: | Size: 310272 | Author: | Hits:

[Post-TeleCom sofeware systemsdiscrimation

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 | Hits:

[matlabgetPDF1

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 | Hits:

[matlabgetPDF2

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: 728064 | Author: ashish | Hits:

[matlabdenoise_fft_angle_Analysis

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 | Hits:

[matlabimage-process

Description: 介始了图像增强的主要技术,特别是图像直方图、频率域滤波、彩色图像分解处理技术,有matlab代码。-Medium before the main image enhancement technology, especially the image histogram, frequency domain filtering, color image decomposition process technology, a matlab code.
Platform: | Size: 1060864 | Author: g_sd | Hits:

[matlabxiaobosuanfa

Description: 采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1~4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) - Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1)
Platform: | Size: 1024 | Author: 王飞 | Hits:

[Special EffectsNoise-estimation-in-wavelet-domain

Description: 对含噪声的图像进行识别和估计,通过小波分解,在频域中完成对图像的识别,判断是椒盐噪声还是高斯噪声,并对参数的值进行估计。-Identify and estimate noisy images, through the wavelet decomposition in the frequency domain to complete the image recognition to determine the salt and pepper noise or Gaussian noise, and estimate the value of the parameter.
Platform: | Size: 287744 | Author: peterlox | Hits:

[Software Engineeringdamping-estimation-by-FDD

Description: teoretical bases for frequency domain decomposition
Platform: | Size: 402432 | Author: jorge | Hits:

[matlabA-new-approach--diagnosis-

Description: 本文提出一种新的智能故障诊断方法,基于统计分析,提出了一种改进的距离的评价技术和适应性类神经模糊推论系统(简称ANFIS)。该方法包括三个阶段。 -This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference system (ANFIS). The approach consists of three stages. First, different features, including time-domain statistical characteristics, frequency-domain statistical characteristics and empirical mode decomposition (EMD) energy
Platform: | Size: 176128 | Author: 张力 | Hits:

[matlabFDD

Description: 数据频域分解法,基于结构的环境白噪声激励响应数据,识别结构的频率和振型-The frequency domain decomposition method, based on the structure of the environmental white noise stimulus-response data, identify the structure of the frequencies and mode shapes
Platform: | Size: 1024 | Author: hitsgs | Hits:

[Special EffectsBBSD

Description: 基于区域的空间域图像融合。先对源图像作小波分解,低频分量加权平均,高频分量用模糊C均值聚类算法进行区域分割,对区域进行基于ssim值的融合,最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform
Platform: | Size: 6316032 | Author: 李欣怡 | Hits:

[SCMgunpoufie

Description: Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Pisarenko harmonic decomposition algorithm.
Platform: | Size: 6144 | Author: sankainuimang | Hits:

[Communication-Mobilepr177

Description: Pisarenko harmonic decomposition algorithm, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Including single sideband, double sideband, suppressed carrier and quadruple.
Platform: | Size: 59392 | Author: lanjenliekie | Hits:
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