Welch法的功率谱估计实现,工具matlab。
2021-12-04 18:12:22 2KB Welch法
Matlab实现经典功率谱估计 (周期图法 BT法 Welch)
2021-11-29 20:14:38 4KB 周期图法 BT法 Welch
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Welch法的功率谱估计实现,工具matlab。
2021-11-27 21:18:15 2KB 用Welch法进行功率谱估计
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:从经典功率谱估计周期图法原理入手,从理论上分析了其存在的局限性,借助Welch算法对其进行修正。依靠 Matlab强大的数值分析和信号处理能力,进行实验仿真,比较不同的窗函数,不同的数据长度对Welch法谱估计质量的影 响,并分析了造成这些影响的原因。
2021-11-27 17:45:07 210KB welch
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psd和welch方法的改进及其应用,并对两者进行了对比
2021-11-18 16:58:01 461KB welch
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此提交提供了使用 Welch 方法计算功率谱密度 (PSD) 的可能性。 该文件基于使用信号处理工具箱的 Matlab 实现。 我排除了计算机密间隔的可能性。 如果需要,请发表评论,我会更新必要的依赖项。 WelchPowerSpectralDensity.m 文件的标题中给出了一个使用示例。 另外两个文件 Hann.m 和 Hamming.m 提供了算法所需的两种可能的窗口函数。
2021-09-29 19:14:41 3KB matlab
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Book Description "A candid and comprehensive look at how to succeed in business - for everyone from college graduates to CEOs."                           Bill Gates, chairman, Microsoft Corporation Jack Welch knows how to win. During his forty-year career at General Electric, he led the company to year-after-year success around the globe, in multiple markets, against brutal competition. His honest, be-the-best style of management became the gold standard in business, with his relentless focus on people, teamwork, and profits. And now he has written a book that clearly lays out the answers to the most difficult questions people face both on and off the job. Winning is destined to become the bible of business for generations to come. Anyone who has a passion for success will find Welch's optimistic, no excuses, get-it-done mind-set riveting. Packed with personal anecdotes and written in Jack's distinctive no b.s. voice, Winning offers deep insights, original thinking, and solutions to nuts-and-bolts problems that will change forever the way people think about work. From Washington Post There is a lifetime of wisdom about business, and life, packed into Jack Welch's Winning. It is unquestionably the best manageement book to come along in a while - breezy, concrete, spiced with the right amount of humility and refreshingly void of management hokum."
2021-09-21 22:53:14 9.14MB 管理类
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隐马尔可夫模型c++实现程序,采用Baum-Welch (ML)算法进行训练。
2021-09-04 14:39:22 15KB 隐马尔可夫 Baum-Welch (ML)
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Baum-Welch算法(模型训练算法) 目的:给定观察值序列O,通过计算确定一个模型l , 使得P(O| l)最大。 算法步骤: 1. 初始模型(待训练模型) l0, 2. 基于l0 以及观察值序列O,训练新模型 l; 3. 如果 log P(X|l) - log(P(X|l0) < Delta,说明训练已经达到预期效果, 算法结束。 4. 否则,令l0 = l ,继续第2步工作
2021-08-29 13:42:34 261KB HMM 隐马尔科夫
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解决隐马尔科夫的三个问题的算法,鲍勃韦尔奇算法
2021-07-03 21:01:21 187B 语音识别 隐马尔科夫
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