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关于谱估计方面的重要函数,能很好的估计出信号的谱,质量很高-on spectral estimation of the important functions can be a very good signal to estimate the spectrum of high quality
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This paper presents various applications of a nonlinear
adaptive notch filter which operates based on the concept
of an enhanced phase-locked loop (PLL). Applications of the filter
for online signal analysis for power systems protection, control a
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SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
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随机信号谱分析技术实现 随机信号谱估计及质量评价。
离散随机信号通过线性时不变系统时，系统所产生的响应。
功率谱估计的实现方法：自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法
-Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear system
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本篇論文提出的整合式解交錯(Integrated De-interlacing)的演算法，可以有效提昇移
動區域的畫面，但是當移動估計不正確時，反而會使移動補償後的畫面變得很差，為了
改善這種情況，因此結合移動可適性解交錯的優點，並將空間圖場內插(Spatial
Interpolation)的方式改成ELA(Edge Line Average)來設計，經過電腦模擬的結果發現，不僅在視覺上提高畫面的解析度，在某些影像峰值訊號雜訊比(Peak Signal Noise Ratio ,
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详细说明：语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序-Details: short-time speech signal analysis, including: framing, short-term energy, short-term average rate, short-time zero crossing rate, short-time a
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子空间类波达方向(Direction Of Arrival,DOA)估计算法的关键在于得到高质量的信号子空间估计。该文利用矩阵伪逆的双正交性,针对源信号不相关而其本身是色信号的情况,给出了一种新颖的DOA估计算法,它不需要知道噪声统计特性。该算法利用一组空间相关矩阵的结构化信息,能稳健而精确地估计出信号子空间,从而得到DOA的精确估计。仿真实验证实了所给算法的有效性。-The key subspace DOA (Direction Of Arrival, DOA) estimation algo
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基于压缩感知思想的图像分块压缩与重构方法
考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计
和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改
进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了
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In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the
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The computation of the time delay of arrival (TDOA) between each of the considered channels and the reference channel is repeated along the recording in order for the beamforming to respond to changes in the speaker. In this implementation it is comp
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In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the
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