Description: 该程序是用小波的方法对两幅图像进行融合。在低频系数对小波系数采用基于区域方差的加权融合方法处理,高频系数采用基于像素点小波系数绝对值取大的规则进行融合。该方法避免了图像融合过程中因平均化而出现的模糊现象, 融合后的图像内容更加清晰, 更容易识别。-The program realized to fuse two images by the method of wavelet. In the low-frequency coefficients of the wavelet coefficient variance based on the weighted integration of the regional approach, high-frequency coefficients of the wavelet coefficients based on the absolute value of pixels in the rules to take a big fuse. This method avoids the image integration process due to the emergence of fuzzy averaging phenomenon, fused image is much more precise and more easy to identify. Platform: |
Size: 5120 |
Author:leon |
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Description: fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution.
given the samples of the histogram of the samples, finds the
distribution parameter that fits the histogram samples.
fits data to the probability of the form:
p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a))
with parameter: a
format: result = fit_maxwell_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
a - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution- fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution.
given the samples of the histogram of the samples, finds the
distribution parameter that fits the histogram samples.
fits data to the probability of the form:
p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a))
with parameter: a
format: result = fit_maxwell_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
a - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution Platform: |
Size: 2048 |
Author:resident e |
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Description: fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s
with parameter: s
format:result = fit_rayleigh_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
hAx - handle of an axis, on which the fitted distribution is plotted
output: result - structure with the fields
s - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution-fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s
with parameter: s
format:result = fit_rayleigh_pdf( x,y,W,hAx )
input: y - vector, samples of the histogram to be fitted
x - vector, position of the samples of the histogram (i.e. y = f(x,a))
W - matrix or scalar, a square weighting matrix of the size NxN where
N = length(y), or 0 to indicate no weighting is needed.
hAx - handle of an axis, on which the fitted distribution is plotted
output: result - structure with the fields
s - fitted parameter
VAR - variance of the estimation
type- weighted LS or not weighted LS
iter- number of iteration for the solution Platform: |
Size: 2048 |
Author:resident e |
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Description: MATLAB百科全书，第二版，电子工业出版社，陈杰主编。第六章，6.2.3数据拟合-适用加权最小方差WLS方法。-MATLAB Encyclopedia, Second Edition, Publishing House of Electronics Industry, Chen Jie editor.Chapter 6, 6.2.3 data fitting- for the weighted minimum variance WLS method. Platform: |
Size: 1024 |
Author:杜红 |
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Description: 广义最小方差自校正控制：在求解控制律的性能指标中引入对控制量的加权项，限制控制作用中的剧烈变化。-Generalized minimum variance self-tuning control: control the amount of weighted items, solving the performance of the control law introduced to limit the dramatic changes in the control action. Platform: |
Size: 1024 |
Author:tang |
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Description: we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and their gray-level difference simultaneously.
By using this factor, the new algorithm can accurately
estimate the damping extent of neighboring pixels. In order to
further enhance its robustness to noise and outliers, we introduce
a kernel distance measure to its objective function. The new
algorithm adaptively determines the kernel parameter by using
a fast bandwidth selection rule based on the distance variance
of all data points in the collection. Furthermore, the tradeoff
weighted fuzzy factor and the kernel distance measure are both
parameter free. Experimental results on synthetic and real images
show that the new algorithm is effective and efficient, and is
relatively independent of this type of noise. Platform: |
Size: 1024 |
Author:李蕾 |
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Description: 采用加权网络中节点强度和权重都是幂率分布的模型，双向PCS控制仿真，能量熵的计算，重要参数的提取，基于人工神经网络的常用数字信号调制，应用小区域方差对比，程序简单。- Using weighted model nodes in the network strength and weight are power law distribution, Two-way PCS control simulation, Energy entropy calculation, Extract important parameters, The commonly used digital signal modulation based on artificial neural network, Application of small area variance comparison, simple procedures. Platform: |
Size: 5120 |
Author:gcweyn |
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Description: 基于人工神经网络的常用数字信号调制，对于初学者具有参考意义，计算加权加速度,基于SVPWM的三电平逆变的matlab仿真，光纤陀螺输出误差的allan方差分析，快速扩展随机生成树算法。- The commonly used digital signal modulation based on artificial neural network, For beginners with a reference value, Weighted acceleration, Based on SVPWM three-level inverter matlab simulation, allan FOG output error variance analysis, Rapid expansion of random spanning tree algorithm. Platform: |
Size: 6144 |
Author:hiigap |
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Description: 光纤陀螺输出误差的allan方差分析，包含了阵列信号处理的常见算法，D-S证据理论数据融合，时间序列数据分析中的梅林变换工具，计算加权加速度,线性调频脉冲压缩的Matlab程序。-allan FOG output error variance analysis, Contains a common array signal processing algorithm, D-S evidence theory data fusion, Time series data analysis Mellin transform tool, Weighted acceleration, LFM pulse compression of the Matlab program. Platform: |
Size: 7168 |
Author:nkxqmy |
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Description: 本程序的性能已经超过其他算法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，FIR 底通和带通滤波器和IIR 底通和带通滤波器，单径或多径瑞利衰落信道仿真，光纤陀螺输出误差的allan方差分析，计算加权加速度。- This program has exceeded the performance of other algorithms, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Single path or multipath Rayleigh fading channel simulation, allan FOG output error variance analysis, Weighted acceleration. Platform: |
Size: 8192 |
Author:vzftck |
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Description: 应用小区域方差对比，程序简单，采用加权网络中节点强度和权重都是幂率分布的模型，通过matlab代码，是信号处理的基础，外文资料里面的源代码，可以得到很精确的幅值、频率、相位估计。- Application of small area variance comparison, simple procedures, Using weighted model nodes in the network strength and weight are power law distribution, By matlab code, Is the basis of the signal processing, Foreign materials inside the source code, You can get a very accurate amplitude, frequency, phase estimation. Platform: |
Size: 5120 |
Author:nmyavs |
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Description: 有PMUSIC 校正前和校正后的比较，应用小区域方差对比，程序简单，采用加权网络中节点强度和权重都是幂率分布的模型，欢迎大家下载学习，虚拟力的无线传感网络覆盖，最大似然（ML）准则和最大后验概率（MAP）准则。- A relatively before correction and after correction PMUSIC, Application of small area variance comparison, simple procedures, Using weighted model nodes in the network strength and weight are power law distribution, Welcome to download the study, Virtual power wireless sensor network coverage, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion. Platform: |
Size: 5120 |
Author:vjqnds |
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Description: D-S证据理论数据融合，主同步信号PSS在时域上的相关仿真，采用加权网络中节点强度和权重都是幂率分布的模型，应用小区域方差对比，程序简单，数学方法是部分子空间法。-D-S evidence theory data fusion, PSS primary synchronization signal in the time domain simulation related, Using weighted model nodes in the network strength and weight are power law distribution, Application of small area variance comparison, simple procedures, Mathematics is part of the subspace. Platform: |
Size: 9216 |
Author:wfkgahjk |
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Description: 计算加权加速度,MIMO OFDM matlab仿真,应用小区域方差对比，程序简单，对于初学者具有参考意义，一些自适应信号处理的算法。- Weighted acceleration, MIMO OFDM matlab simulation, Application of small area variance comparison, simple procedures, For beginners with a reference value, Some adaptive signal processing algorithms. Platform: |
Size: 6144 |
Author:vixgevagv |
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Description: 对信号进行频谱分析及滤波，包括主成分分析、因子分析、贝叶斯分析，计算加权加速度,应用小区域方差对比，程序简单，用于时频分析算法。- The signal spectral analysis and filtering, Including principal component analysis, factor analysis, Bayesian analysis, Weighted acceleration, Application of small area variance comparison, simple procedures, For time-frequency analysis algorithm. Platform: |
Size: 5120 |
Author:bmvurgt |
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Description: 计算加权加速度,最小均方误差（MMSE）的算法，基于matlab GUI界面设计,用于信号特征提取、信号消噪，应用小区域方差对比，程序简单。- Weighted acceleration, Minimum mean square error (MMSE) algorithm, Based on matlab GUI interface design, For feature extraction, signal de-noising, Application of small area variance comparison, simple procedures. Platform: |
Size: 7168 |
Author:cywcerz |
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Description: 光纤陀螺输出误差的allan方差分析，本程序的性能已经超过其他算法，是路径规划的实用方法，阐述了负荷预测的应用研究,采用加权网络中节点强度和权重都是幂率分布的模型。-allan FOG output error variance analysis, This program has exceeded the performance of other algorithms, Is a practical method of path planning, It describes the application of load forecasting, Using weighted model nodes in the network strength and weight are power law distribution. Platform: |
Size: 7168 |
Author:pzhqfu |
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Search - Weighted variance