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matlab例程 3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You ca

3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.
https://www.eeworm.com/dl/665/462144.html
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数学计算 Least Squares Fitting of Data

Least Squares Fitting of Data
https://www.eeworm.com/dl/641/482292.html
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文件格式 least squares method

least squares method
https://www.eeworm.com/dl/639/482638.html
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matlab例程 System identification with adaptive filter using full and partial-update Least-Mean-Squares

System identification with adaptive filter using full and partial-update Least-Mean-Squares
https://www.eeworm.com/dl/665/489278.html
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matlab例程 System identification with adaptive filter using full and partial-update Recursive-Least-Squares

System identification with adaptive filter using full and partial-update Recursive-Least-Squares
https://www.eeworm.com/dl/665/489281.html
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matlab例程 MATLAB Example Code : Non-Linear Least Squares --- Bearings-Only Measurement

MATLAB Example Code : Non-Linear Least Squares --- Bearings-Only Measurement
https://www.eeworm.com/dl/665/493463.html
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学术论文 基于FPGA的工频干扰实时滤波技术

生物医学信号是源于一个生物系统的一类信号,像心音、脑电、生物序列和基因以及神经活动等,这些信号通常含有与生物系统生理和结构状态相关的信息,它们对这些系统状态的研究和诊断具有很大的价值。信号拾取、采集和处理的正确与否直接影响到生物医学研究的准确性,如何有效地从强噪声背景中提取有用的生物医学信号是信号处 ...
https://www.eeworm.com/dl/514/13951.html
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数学计算 直线拟合的几种算法

直线拟合的几种算法,其中包括线性最小二乘,和两种不同目标函数的非线性最小二乘,用于比较这些方法的优劣,另外matlab中说的robust least squares方法没有找到,希望有朋友能给穿一下:)
https://www.eeworm.com/dl/641/165014.html
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人工智能/神经网络 This program demonstrates some function approximation capabilities of a Radial Basis Function Networ

This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
https://www.eeworm.com/dl/650/165307.html
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matlab例程 A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adju

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.
https://www.eeworm.com/dl/665/182360.html
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