-
calculateflow_BX_Final
电力系统潮流计算,基于BX快速解耦算法,对IEEE14节点标准拓扑网络进行检测,能够正确快速地计算出结果。(Power flow calculation based BX fast decoupled algorithm, IEEE14 standard topology network node detection, able to correctly calculate the results quickly.)
- 2013-05-24 15:59:57下载
- 积分:1
-
FFTresultsmeaning
详细介绍matlab的FFT变换的实际物理意义,并通过具体事例具体分析,简单明了,方便易懂!绝对对你明白FFT变换的意义有很大好处和实用价值。(Details of the FFT transform matlab actual physical meaning, and through a concrete analysis of concrete examples, simple and clear, easy to understand! Absolutely right you understand the meaning of FFT transform of great benefit and practical value.)
- 2009-10-30 11:22:20下载
- 积分:1
-
universal_data
this folder contain universal dataset for classification
- 2009-05-31 23:50:54下载
- 积分:1
-
hidefiles
hide text files using simple encryption algorithnm in matlab
- 2010-05-28 19:05:04下载
- 积分:1
-
particle-filter-visual-tracking
该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码,用于实现鲁棒的视觉目标跟踪,其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成,大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化,但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家!(These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! )
- 2020-11-12 15:19:43下载
- 积分:1
-
LMS
说明: 最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數,以類比所需理想濾波器的自適應濾波器,其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正,是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)
- 2019-02-21 22:43:06下载
- 积分:1
-
LINKDESIGN
THIS SHOWS THE UPLINK AND DOWNLINK DESIGN OF SATELLITE COMMUNICATION USING VARIOUS PARAMETERS AS THE INPUT...
- 2011-06-21 20:35:08下载
- 积分:1
-
DriferTracking
漂流跟踪文献,主要是高频地波雷达相关内容。仅作参考(Rafting tracking literature, mainly HFSWR related content. For reference only)
- 2013-10-16 23:51:15下载
- 积分:1
-
book_total
Intuitive Probability and Random Processes using MATLAB by Steven M. Kay
- 2009-09-29 02:47:27下载
- 积分:1
-
beijingyouhua
灰色模型的背景值和求导过程的联合优化,效果非常不错(Joint optimization model and gray background value derivation process, the effect is very good)
- 2013-12-23 22:07:01下载
- 积分:1