Description: 代码中给出了图像恢复的最小平方滤波和winner滤波法，并显示其结果图可进行分析比较-Code gives the least squares image restoration filtering and winner filtering method, and display the result map can be analyzed and compared Platform: |
Size: 1024 |
Author:张锐娟 |
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Description: Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter. Platform: |
Size: 2048 |
Author:ayla |
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Description: 最小二乘隐空间支持向量机
王玲 薄列峰 刘芳 焦李成
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在隐空间中采用最小二乘损失函数$提出了 最 小 二 乘 隐 空 间 支 持 向 量 机#0*&**52H 8
同 隐 空 间 支 持 向
量机#&**52H 一样$最小二乘隐空间支持向量机不需 要 核 函 数 满 足 正 定 条 件$从 而 扩 展 了 支 持 向 量 机 核 函 数 的
选择范围
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由于采用了最小二乘损失函数$最小二乘隐空间支持向量机产生的优 化 问 题 为 无 约 束 凸 二 次 规 划$这 比
隐空间支持向量机产生的约束凸二次规划更易求解
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仿真实验结果表明所提算法在 计 算 时 间 和 推 广 能 力 上 较 隐 空
间支持向量机存在一定的优势
-In the hidden space, using the least square loss function space $ proposed least squares support vector machine hidden# 0* &** 52H 8
Space with the implicit support to the
The amount of machine# &** 52H $ as an implicit least squares support vector machines do not need space to meet definite conditions $ kernel function extends SVM kernel function
Range of options
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As a result of an implicit least squares loss function space $ least squares support vector machine optimization problem arising from the unconstrained convex quadratic programming for the $ than
Hidden space support vector machines produce more constrained convex quadratic programming solver
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Simulation results show that the proposed method in computation time and the ability to promote a more implicit empty
Between the support vector machine there is a certain advantage Platform: |
Size: 161792 |
Author:lux |
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Description: Deblurring Images Using a Regularized Filter
This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.
Platform: |
Size: 1024 |
Author:bbcz |
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Description: Stationary and Non-Stationary noise removal Cardiac Signals using
a Constrained Stability Least Mean Square Algorithm。-Stationary and Non-Stationary noise removal Cardiac Signals using a Constrained Stability Least Mean Square Algorithm. Platform: |
Size: 2789376 |
Author:西门吹雪 |
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Description: low bit rate image compression via down sampling and adaptive least square constrained upconversion.-low bit rate image compression via down sampling and adaptive least square constrained upconversion. Platform: |
Size: 926720 |
Author:seetu |
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Description: ① 采用逆滤波、维纳滤波和约束最小二乘方滤波复原图像。
② 实现四种均值滤波(Inverse filtering, Wiener filtering and constrained least square square filtering are used to restore the image.
Realizing four kinds of mean filtering) Platform: |
Size: 94208 |
Author:536536536 |
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Description: 约束最小二乘方滤波要求噪声的方差和均值，这些参数可通过给定的退化图像计算出来，这是约束最小二乘方滤波的一个重要优点。(Constrained least square square filtering requires the variance and mean of noise. These parameters can be calculated by a given degraded image. This is an important advantage of constrained least square square filtering.) Platform: |
Size: 2048 |
Author:kmstcc |
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Description: 阵列信号处理中线性约束最小方差准则（LCMV）算法和最小均方（LMS）算法的matlab源代码(Matlab Source Code of Linear Constrained Minimum Variance Criterion (LCMV) and Least Mean Square (LMS) Algorithms in Array Signal Processing) Platform: |
Size: 1024 |
Author:liyiiii |
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Search - constrained least square