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Final
语音识别系统，在静音环境比较准确，但是假若有噪音或者其他情况会有问题，附预处理部分(Speech recognition system, in the quiet environment is accurate, but if there are noise problems or other conditions will be attached to some pretreatment)
- 2010-09-20 10:29:43下载
- 积分：1
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Per_spectrum
不同窗函数数下，自功率谱，互功率谱，频响函数和相干函数，绘制功率谱图(Not under the old function, since the power spectrum, cross-power spectrum, frequency response function and coherence function, map power spectrum)
- 2016-12-13 12:39:05下载
- 积分：1
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BackgroundRemovalforColorImagesBasedonColorCompone
说明： 基于彩色成分差异的彩色图像背景去除算法研究(Background Removal for Color Images Based on Color Components Difference0)
- 2010-03-26 17:59:34下载
- 积分：1
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MovingDetect
matlab的运动目标分割 车辆检测 平均建模背景差分(Moving object segmentation matlab Vehicle Detection average difference modeling background)
- 2012-03-24 21:32:04下载
- 积分：1
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lxxx
介绍了流形学习的几种经典的算法和一些如闻的知识(Describes several classical manifold learning algorithms, and some, such as knowledge of news)
- 2011-06-13 18:28:54下载
- 积分：1
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SVMcgForClass
利用网格搜索法对支持向量机的参数寻优的过程，通过matlab实现(Grid search method to use SVM parameter optimization process to achieve through matlab)
- 2021-01-04 16:28:55下载
- 积分：1
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WIMAX
学习wimax，尤其针对ip技术，适合初学者(Learning wimax)
- 2010-03-15 23:21:04下载
- 积分：1
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RungeKutta
常微分方程组的四阶RungeKutta龙格库塔法matlab实现(Fourth-order Runge-Kutta method matlab RungeKutta of ordinary differential equations to achieve)
- 2013-12-03 20:54:49下载
- 积分：1
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COLON2D
Accepts two bounding vectors and produces an equally spaced matrix with unique fixed step row-wise
- 2014-01-10 16:26:27下载
- 积分：1
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P4-1
传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)
- 2014-02-08 09:18:38下载
- 积分：1
