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chap15
人脸识别中核心算法的MATLAB软件实现例程(The core algorithm of face recognition in MATLAB)
- 2013-11-30 10:43:17下载
- 积分:1
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ale
提供自适应线谱增强函数。结合LMS算法和自适应滤波来实现线谱增强。实现受白噪声 (mu,sigma)污染的单频信号(frequency f)的增强。(function to perform adaptive line enhancement using LMS algorithm and an adaptive FIR filter。 ALE concept enhances a single tone signal (frequency f) affected by white noise (mu,sigma))
- 2021-01-10 11:58:50下载
- 积分:1
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EKF-matlab-simulation
扩展卡尔曼滤波程序,matlab 仿真。(EKF simulation)
- 2013-09-28 15:33:43下载
- 积分:1
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linepts
function for getting all line coordinate interms of x and y, also a circle coordinate function
- 2011-12-28 09:36:59下载
- 积分:1
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PESGM2008-000268
Preparing for New MISO Ancillary-Service Market:
FirstEnergy Perspectives
- 2013-12-03 18:17:01下载
- 积分:1
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PSO
粒子群算法优化函数,取得很好的精度,满足了学习的要求!(Particle swarm optimization function, to achieve good accuracy)
- 2015-03-26 08:26:52下载
- 积分:1
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mimo-stpc
mimo信道stpc编码仿真 数字是收发天线数
(MIMO STPC channel coding simulation digital transceiver antenna number is
)
- 2021-04-26 10:28:45下载
- 积分:1
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target-tracking-using-kalman
matlab编写的用卡尔曼滤波实现目标跟踪(matlab prepared using Kalman filter tracking)
- 2013-10-17 15:49:05下载
- 积分:1
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Matlab_demos.tar
MATLAB PROJECT METHOD
- 2012-11-25 02:01:25下载
- 积分:1
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Mixed-Integer-Nonlinear-Programming
本书是The IMA Volumes in Mathematics and its Applications系列的一本,由Springer-Verlag发表,用于交流每年数学规划算法方面的新成果,希望对于广泛的科学团体有帮助。
许多工程,运筹,和科学应用包括离散或连续的决策变量,以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming (MINLP,混合整数非线性规划),兼具来自非线性问题的非凸函数优化,以及来自整数的离散优化,这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一,但是因为它范围极广,在最一般的情况下,它是几乎无法解的。然而,日渐壮大的研究者和程序员队伍,包括化学工程,运筹研究者,工业工程师,机械工程师,经济学家,统计学家,计算机科学家,运营经理,和数学程序员,都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)
- 2015-10-18 21:02:31下载
- 积分:1