Description: 通过最速下降算法研究基于梯度的自适应方法，最速下降是递归的，滤波器计算是一步步迭代进行-through the steepest descent gradient algorithm based on the adaptive method, the steepest decline is recursive, Filter is an iterative step by step Platform: |
Size: 4079 |
Author:谢晓丹 |
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Description: 通过最速下降算法研究基于梯度的自适应方法，最速下降是递归的，滤波器计算是一步步迭代进行-through the steepest descent gradient algorithm based on the adaptive method, the steepest decline is recursive, Filter is an iterative step by step Platform: |
Size: 4096 |
Author:谢晓丹 |
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Description: TnsFilter(intlength,double*spec,TNS_FILTER_DATA*Filter)函数,使用规定的滤波器系数,按指定的长度对频谱进行滤波.
LevinsonDurbin迭代式算法模块,采用LevinsonDurbin代式算法根据给定的数据计算反射数据,并返回预测增益.-TnsFilter (intlength, double* spec, TNS_FILTER_DATA* Filter) function, the use of the provisions of the filter coefficients, according to the length of the spectrum designated for filtering. LevinsonDurbin iterative algorithm module, using LevinsonDurbin generation algorithm in accordance with the given data reflection data and return prediction gain. Platform: |
Size: 58368 |
Author:lamching |
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Description: 自适应滤波器LMS算法的误差性能曲面和等高线，并在等高线上绘出最陡下降法和LMS迭代的轨迹曲线，配合数字信号处理2课程的学习-LMS adaptive filter algorithm for the error performance surface and contour lines and contour line drawn in the steepest descent method and the LMS iterative trajectory curve, with 2 digital signal processing courses Platform: |
Size: 1024 |
Author:随便 |
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Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想. Platform: |
Size: 3072 |
Author:闫丰 |
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Description: observable distribution grid are investigated. A distribution
grid is observable if the state of the grid can be fully determined.
For the simulations, the modified 34-bus IEEE test feeder is used.
The measurements needed for the state estimation are generated
by the ladder iterative technique. Two methods for the state
estimation are analyzed: Weighted Least Squares and Extended
Kalman Filter. Both estimators try to find the most probable
state based on the available measurements. The result is that
the Kalman filter mostly needs less iterations and calculation
time. The disadvantage of the Kalman filter is that it needs some
foreknowlegde about the state. Platform: |
Size: 253952 |
Author:chowzaisun |
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Description: This recreation makes the filters more stable. For high sampling rates the time records are downsampled. For the low sampling rates the time records are upsampled. Depending on the Filter types. Iterative resampling is used in the Nth octave band time filter to improve the attenuation of the resample program. Also the filters are settled by preappending time data, then deleting the preappended data after filtering. Platform: |
Size: 83968 |
Author:mimiliga |
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Description: 用下面的程序产生并显示与小波db4相关联的四个滤波器组.小波函数db4的迭代生成过程.单尺度一维离散小波分解与重构-With the following procedures and display associated with the db4 wavelet filter banks of four. Db4 wavelet function to generate the iterative process. Single-scale one-dimensional discrete wavelet decomposition and reconstruction Platform: |
Size: 2048 |
Author:flyer |
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Description: it is a development of iterative wiener filter it puts a clear creterion for convergence Platform: |
Size: 616448 |
Author:king_of_rules |
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Description:
上传的文献设计到CT重建算法的重要算法的论文，包括迭代重建算法和滤波反投影算法等内容-From literature design to the CT reconstruction algorithm for the important papers algorithms, including iterative reconstruction algorithms and filter back-projection algorithm etc. Platform: |
Size: 2715648 |
Author:李利 |
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Description: 为了提高布匹瑕疵图像的滤波效果,针对检测过程中图像易受到多种混合噪声污染的特点,提出一种基于多尺度迭
代思想以改进AMSS 算子。将偏微分方程中的AMSS 方程以有限差分的形式离散化,依据量化尺度参数t 和尺度步长Δt ,采
用小尺度步长对污染图像进行多次迭代滤波。针对改进AMSS 算子的滤波结果,介绍了一种采用水平线算法进行效果分析
的新方法。实验结果表明,和其他算法相比,该滤波算法在滤除受未知混合噪声污染图像干扰的同时,能够更好地保留边缘
信息,从而达到更理想的平滑效果。-Focused on fabric flaw detection , an improved AMSS operator based on multi2scale and iterative
met hod was presented. The AMSS equation was discreted with finite difference , and according to quantita2
tive scale parameter t and scale step lengt h Δt , t he noise in t he object image was iteratively filtered by
small scale step lengt h , t hen aimed at t he filter result of AMSS operator , a new evaluation met hod on level
line was int roduced. The experimental result illust rates t hat t his improved operator can efficiently keep
edge information , and t he performance of filting noise is more effective t han ot her met hods for imagemixed wit h multi2noise. Platform: |
Size: 1107968 |
Author:广隶 |
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Description: 基于轮廓波维纳滤波的图像压缩传感重构论文，利用了轮廓波维纳滤波去噪算子替代迭代阈值法中的阈值算子，进而提出了基于轮廓波维纳滤波的图像压缩传感的重构算法。-Contour-based image compression sensor Povina reconstruction filter paper, using the contour Povina filter denoising operator in the alternative iterative threshold method the threshold operator was proposed based on filtering of the image contour Povina Compressed sensing reconstruction algorithm. Platform: |
Size: 568320 |
Author:lee |
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Description: 本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods. Platform: |
Size: 1527808 |
Author:李辉 |
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Description: 从传感器中读取数据，然后利用kalman滤波进行迭代处理-Read data the sensor, then the iterative process using Kalman filter Platform: |
Size: 270336 |
Author:朱成 |
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Description: Fast O(1)双边滤波算法,由三角函数逼近方法实现非迭代算法，计算量不再受滤波窗口大小影响，只与图像大小有关，适合改进为GPU执行的并行算法（此函数还包含一个递归高斯算法）-Fast O (1) bilateral filtering algorithm, approximation by a trigonometric method to achieve non-iterative algorithm to calculate the amount of the filter window size is no longer affected, only the size of the image, as the GPU for improved parallel algorithm d (this also includes a recursive Gauss algorithm) Platform: |
Size: 70656 |
Author:xiaofeifu |
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Search - iterative filter