結(jié)合IMM的kf濾波器,簡單易懂,適合初學者學習分析。
上傳時間: 2014-12-04
上傳用戶:zxc23456789
介紹了kf,ekf,ukf ,pf ,upf 的程序代碼,是一個比較全的程序代碼
上傳時間: 2013-12-24
上傳用戶:金宜
2.54mm簡牛插座 XH2.54插座 排針-排母 kf-2.54 接線端子Altium封裝 AD封裝庫 2D+3D PCB封裝庫-52MB,Altium Designer設(shè)計的PCB封裝庫文件,集成2D和3D封裝,可直接應(yīng)用的到你的產(chǎn)品設(shè)計中。PCB庫封裝列表:PCB Library : DC-2.54mm貼片簡牛插座.PcbLibDate : 2020/6/9Time : 9:40:28DC3-12P-2.54mmDC3-14P-2.54mmDC3-16P-2.54mmDC3-18P-2.54mmDC3-20P-2.54mmDC3-22P-2.54mmDC3-24P-2.54mmDC3-26P-2.54mmDC3-28P-2.54mmDC3-30P-2.54mmDC3-32P-2.54mmDC3-34P-2.54mmDC3-36P-2.54mmDC3-38P-2.54mmDC3-40P-2.54mmDC3-42P-2.54mmDC3-44P-2.54mmDC3-46P-2.54mmDC3-48P-2.54mmDC-2.54-L-Z-24PDC-2.54-L-Z-26PDC-2.54-L-Z-28PDC-2.54-L-Z-30PDC-2.54-L-Z-32PDC-2.54-L-Z-34PDC-2.54-L-Z-36PDC-2.54-L-Z-38PDC-2.54-L-Z-40PDC-2.54-L-Z-42Pkf2EDGK-2.54-LI-16Pkf2EDGK-2.54-WI-2Pkf2EDGK-2.54-WI-3Pkf2EDGK-2.54-WI-4Pkf2EDGK-2.54-WI-5Pkf2EDGK-2.54-WI-6Pkf2EDGK-2.54-WI-7Pkf2EDGK-2.54-WI-8Pkf2EDGK-2.54-WI-9Pkf2EDGK-2.54-WI-10Pkf2EDGK-2.54-WI-11Pkf2EDGK-2.54-WI-12Pkf2EDGK-2.54-WI-13Pkf2EDGK-2.54-WI-14P""""""""""""""""""""""""""""""""""""""""""""""
標簽: 插座
上傳時間: 2022-05-05
上傳用戶:qdxqdxqdxqdx
隨著社會經(jīng)濟迅速發(fā)展,城市用電急劇增加,在諸如電信、銀行、醫(yī)院、化工、消防、交通、商場、高層建筑等重要場所不允許停電,若因停電可能會帶來重大經(jīng)菥損失的場合應(yīng)采用兩路電源(常用電源、備用電源)供電當一路電源出現(xiàn)異常時,由自動轉(zhuǎn)換開關(guān)電器(ATSE)自動轉(zhuǎn)換到另一路電源,確保負載用電的可靠性、安全性。國外,在20世紀8O年代末、90年代初,ATSE產(chǎn)品得到了廣泛應(yīng)用,如法國溯高美公司生產(chǎn)的SIRC/)VER系列自動轉(zhuǎn)換開關(guān),新加坡IK公司生產(chǎn)的I.KNB—ATS,LKB—ATS,I.kf—ATS系列等產(chǎn)品,并制訂了相應(yīng)的IE(260947—6一l《低壓開關(guān)和控制設(shè)備:第6部分自動轉(zhuǎn)換開關(guān)電器》標準,近年來國內(nèi)一些廠家也相繼推出AESE產(chǎn)品.并在很多重要用電場合得到越來越多的應(yīng)用上海電器科學研究所負責起草,部分生產(chǎn)廠參與,并征求廣大用戶意見,等同采用IEC609476—6—1的《自動轉(zhuǎn)換開關(guān)電器》國家標準GB14048、×一××××,也已制訂并報批,為規(guī)范國內(nèi)ATSE產(chǎn)品的標準,提高產(chǎn)品質(zhì)量有了可靠依據(jù)。
標簽: 雙電源 自動轉(zhuǎn)換 開關(guān)電器
上傳時間: 2013-12-22
上傳用戶:caozhizhi
無先導(dǎo)粒子濾波器工具箱,并附帶pf,kf,Ukf程序,用于跟蹤估計
上傳時間: 2015-07-08
上傳用戶:ippler8
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to estimate. By doing so, RBPFs can improve the estimation quality while also reducing the overall computational load in comparison to original PFs. However, the computational complexity is still too high for many real-time applications. In this paper, we propose a modified RBPF that requires a single Kalman Filter (kf) iteration per input sample. Comparative experiments show that while good convergence can still be obtained, computational efficiency is always drastically increased, making this algorithm an option to consider for real-time implementations.
標簽: Particle Filters Rao-Blackwellised exploit
上傳時間: 2016-01-02
上傳用戶:refent
Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. kf Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
標簽: Hidden_Markov_model_for_automatic speech_recognition implements left-right
上傳時間: 2016-01-23
上傳用戶:569342831
這是一篇介紹卡爾曼濾波器的入門文章,簡單明了易學。文章基于程序的流程,深入淺出的介紹了kf和ekf。
標簽: 卡爾曼濾波器
上傳時間: 2013-12-18
上傳用戶:hfmm633
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