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Description: 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响，可采用预白化方法,设计长度N=50的最小平方FIR逆滤波器-inverse filter design for least squares deconvolution, the assumption that the measurement noise, To reduce the impact of noise and possible pre-whitening method, the length N = 50 the minimum inverse square FIR filter
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Size: 27144 |
Author: 吴森泉 |
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Description: 災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況-disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash
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Size: 9249 |
Author: 韋家振 |
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Description: 而灰色PID控制算法，以灰色系统理论为基础，对系统不确定部分建立灰色模型，进行灰色预估补偿，使控制系统的灰量得到一定程度的白化，可以提高PID控制质量及其鲁棒性。-and gray PID control algorithm, a gray system theory on the basis of the establishment of some system of uncertainty gray model, Gray predicted for compensation, and the control system ash was some degree of whitening. PID control can improve the quality and robustness.
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Size: 154266 |
Author: 曾小权 |
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Description: 用Photoshop给牙齿美白-used Photoshop to the teeth whitening
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Size: 178403 |
Author: 刘伟 |
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Description: this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.
[acdc.m]
* The acdc algorithm for finding the
same for a set of Symmetric matrices.
[acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version
[acdc.m], rather than the Symmetric version[acdc_sym] is preferable.
* A function that finds an initial guess
for acdc by applying hard-whitening
followed by Cardoso s orthogonal joint
diagonalizer. Note that acdc may also
be called without an initial guess,
in which case the initial guess is set by default to the identity matrix.
The m-file includes the joint_diag
function (by Cardoso) for performing
the orthogonal part.
[init4acdc.m]
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Size: 10609 |
Author: 薛耀斌 |
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Description: Automatic target detection in SAR image is the first stage in the ATR (Automatic Target Recognition) system. It is very important to improve the computing efficiency of the whole system. A conventional automatic target detection method is CFAR (constant false alarm rate) which is based only on the amplitude, discards the phase and thereby sacrifices half information of the SAR imagery. Almost each CFAR brings a large number of false alarms. 2L-IHP (two-look internal Hermitian product) is a new method which exploits the phase and amplitude information. In this paper, both CFAR and 2L-IHP algotithms are compared with an emphasis on 2L-IHP. The 2L-IHP algorithm for target detection is discussed briefly first. In order to apply it widely, it is modified to circumvent the constraint of the data. For polarimetric SAR images, PWF (Polarimetric Whitening Filter) is used to generate an image for target detection. According to ADTS data set, these algorithms are analyzed and evaluated respectively. C-、L- and P- band AIRSAR data are also processed, and some tentative conclusions are derived: Considering the penetrating ability of the microwave, L-band got the best detection accuracy of the three bands; HH polarization performed better for target detection than VV and HV polarization; Moreover, because more information is contained in polarimetric SAR data, here, we conclude that polarimetric SAR data have advantages over single polarized SAR data when they are applied for target detection. But all these conclusions need further validation.
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Size: 288371 |
Author: xbtown@126.com |
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Description: 用Photoshop给牙齿美白-used Photoshop to the teeth whitening
Platform: |
Size: 178176 |
Author: 刘伟 |
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Description: 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响，可采用预白化方法,设计长度N=50的最小平方FIR逆滤波器-inverse filter design for least squares deconvolution, the assumption that the measurement noise, To reduce the impact of noise and possible pre-whitening method, the length N = 50 the minimum inverse square FIR filter
Platform: |
Size: 26624 |
Author: 吴森泉 |
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Description: 災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況-disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash
Platform: |
Size: 9216 |
Author: 韋家振 |
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Description: 而灰色PID控制算法，以灰色系统理论为基础，对系统不确定部分建立灰色模型，进行灰色预估补偿，使控制系统的灰量得到一定程度的白化，可以提高PID控制质量及其鲁棒性。-and gray PID control algorithm, a gray system theory on the basis of the establishment of some system of uncertainty gray model, Gray predicted for compensation, and the control system ash was some degree of whitening. PID control can improve the quality and robustness.
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Size: 285696 |
Author: 曾小权 |
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Description: PCA算法程序设计步骤：
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量
-PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction
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Size: 4096 |
Author: 琴 |
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Description: 程序设计步骤：
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量-Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction
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Size: 1024 |
Author: lrx |
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Description: 这是一个白化数据的程序用于MATLAB中，希望有所帮助-This is a data-whitening procedures for MATLAB in the hope that help
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Size: 45056 |
Author: sony |
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Description: 对极化SAR图像进行原始PWF（极化白化滤波）处理，最终可输出一幅图像。
当然，输入输出都是雷达接收到的电场强度信息，要转化为图像还需要将其值转换为255灰度范围内。-Polarization SAR images of the original PWF [polarization whitening filter] treatment, the final output image. Of course, input and output are the radar received electric field strength information, it is necessary to transform the image also needs to be converted to 255 gray value range.
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Size: 1024 |
Author: 郎志超 |
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Description: PCA算法程序设计步骤：
1、取均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量
-PCA algorithm programming steps: 1, access means 2, the calculation of covariance matrix and its eigenvalues and eigenvectors 3, calculating the covariance matrix of eigenvalues greater than the threshold number of 4, in descending order of eigenvalues 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, whitening matrix calculation 10, principal component extraction
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Size: 4096 |
Author: 晓琳 |
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Description: code for whitening in ICA
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Size: 1024 |
Author: aahadi |
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Description: 进行了预白化滤波的广义互相关算法。可以用于时延估计等方面。-Generalized Cross-Correlation with specified pre-whitening filter.
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Size: 2048 |
Author: zxz |
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Description: 用于盲信号分离的白化预处理程序，使用的是自然梯度算法。-A matlab program used for pre-whitening in blind signals seperation.
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Size: 1024 |
Author: ZJM |
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Description: 基于PCA和白化的数据预处理操作，PCA具有两个功能：维数约减和数据可视化；白化的目的是去掉数据之间的相关性。深度学习的一个主要工作就是数据的预处理-Based on PCA and data pre-whitening operation, PCA has two functions: dimensionality reduction and data visualization whitening purpose is to remove the correlation between the data. One of the main work is to study the depth of pre-processed data
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Size: 6144 |
Author: 安好 |
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Description: SVD and Whitening. SVD By Using Power Method Approximation
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Size: 143360 |
Author: ghazy
|
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