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[AI-NN-PR] Volterraprediction1 DL : 0: 混沌时间序列的Volterra一步预测的Matlab程序-chaotic time series forecast Volterra step procedure Matlab
Update : 2025-02-19 Size : 8kb Publisher : 江维
[Other] zmod DL : 0: Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution ％％ compute the forward/backward Campbell/specgtrogram ％％ INPUT: ％ y (n x 2) each column is measured from a different sensor ％ /////// ％ __ ％ |s1| y(:,1) ％ |__| ％ __ ％ / \ ________|/ ％ | | | s2 |/ y(:,2) ％ \____/ --------|/ ％％ Fs Sampling frequnecy ％％ OUTPUT: ％ B spectrogram/Campbel diagram ％ x x-axis coordinate vector (time or Speed) ％ y y-axis coordinate vector (frequency [Hz]) -an experience a elliptica l motion called whirl. It is important to decomp Rose this motion into a forward and backward whil orbits. The current function makes use of two se nsors to generate a bi-directional spectrogra m. The method can be extended to any time-freque ncy distribution% compute the forward/backw ard Campbell/specgtrogram% INPUT : % y (n x 2) each column is measured from a differen t sensor ///////%%% __ | s1 | y (:, 1)% | __ |%% __/\ ________|/% | | | s2 |/y (:, 2)% \ ___/_____/20__--------|/% Fs Sampling frequnecy %% OUTPUT : spectrogram% B/Campbel diagram% x x-axis coor dinate vector (time or Speed)% y y-axis coordin ate vector (frequency [Hz])
Update : 2025-02-19 Size : 60kb Publisher : yupenghui
[matlab] stochsim_mfiles-2.1 DL : 0: 用matalab开发的随机数生成程序包，用于各种随机数的生成，可到以下网址更新和浏览详细的说明：http://www.math.uu.se/research/telecom/software/-matalab development with the random number generator package, for various random number generator. can be updated to the following website and browse detailed explanation : http :// www.math.uu.se/research/telecom/softwa 're /
Update : 2025-02-19 Size : 61kb Publisher : 王邦新
[Other] lo-PSO DL : 0: PSO粒子群寻优算法。 Particle swarm optimization With linkage operator-PSO Particle Swarm Optimization algorithm. Particle swarm optimization With linkage oper.html se
Update : 2025-02-19 Size : 6kb Publisher : supercolin
[Books] DTC DL : 0: a direct torque simulation of induction moteur with matlab 7.1
Update : 2025-02-19 Size : 15kb Publisher :
[Special Effects] jiyuzuixiaoerchengfagaijindesuijituoyuanjiance DL : 0: 为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.-: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces
Update : 2025-02-19 Size : 361kb Publisher : 刘镖峰
[matlab] se帽almuestreada DL : 0: Muestreo de se帽ales en matlab
Update : 2025-02-19 Size : 1kb Publisher : lilalo
[matlab] detection_qrs_matlab DL : 0: DETECCION DE COMPLEJO QRS EN SE袮LES ECG MEDIANTE MATLAB, USANDO UNA WAVELET DAEBUCHIES 5
Update : 2025-02-19 Size : 43kb Publisher : JHON FREDY
[Other systems] DMoody DL : 0: En este diagrama se encuentran varias curvas de rugosidad relativa constante para determinar el factor de friccion de fanning en funcion del numero de reynolds utilizando la ecuacion de colebrook resuelta por el metodo del punto fijo. la funcion fanning2 calcula el factor de friccion con tan solo ingresar la rugosidad relativa y el numero de reynols. Para generar el diagrama se debe terner la funcion fanning2.-En este diagrama se encuentran varias curvas de rugosidad relativa constante para determinar el factor de friccion de fanning en funcion del numero de reynolds utilizando la ecuacion de colebrook resuelta por el metodo del punto fijo. la funcion fanning2 calcula el factor de friccion con tan solo ingresar la rugosidad relativa y el numero de reynols. Para generar el diagrama se debe terner la funcion fanning2.
Update : 2025-02-19 Size : 42kb Publisher : Nafiou
[matlab] ply DL : 0: Salam Des toolbox que j’ai les télécharger depuis qlq année titre se traitement de signal ou bient signal processing -Salam Des toolbox que j’ai les télécharger depuis qlq année titre se traitement de signal ou bient signal processing
Update : 2025-02-19 Size : 66kb Publisher : bouhouiaabdeslam
[Other] SR DL : 0: 本文对说话人识别技术作了较深入系统的研究。提出将不同的特征参数进行信息互补组合，以整合出能够较全面反映说话人个人信息的新参数向量，并以此特征参数进行文本相关的说话人识别系统设计。文章同时对说话人识别中的噪声问题进行比较研究，根据MFcC这一参数本身的噪声鲁棒性特点，对其提取算法进行研究，引入依据嗓声强度而比例加权的思想，得出抗噪声性能更好的加权MFCC特征参数。文中根据上述参数，分别采用基于动态时间规整(DTW)和隐马尔可夫模型 (HMM)的识别方法，对不同的说话人进行语音采集和识别，实验证明，本文中提取的特征参数有很好的应用性能表现。-In thi sth eiss，the传sc峨hofspeakcrreco即itiontc比nologyislhoorughlydicsussed. Thediferentfeatu优isassembledtoPatch.achotheraccordingtoitsinformation，and thcnanewfcaturcvedorthatcanbetterreflectthesPcakcr，sinformationisformed.we usethisnew featuretodoourtext一dcPcndcntsPeakerrccognitio盯systemdesign. Th er ew eaiso乡vedeePreseaerhofthenoiseProbleminspeakcrrecognition.As lhe MFC Cfea盆ureh”goodn说se功bustn哪，westudyils欲lractarithmetica如advanc食hc id.atbaIwccanaddweighlsProPortionalIybasedonitsnoj“intcnsity，andwcget玄hc weigh妞dMFCCfcaturewhichisbettero015odresistedtheorotically
Update : 2025-02-19 Size : 2.28mb Publisher : 李靖
[matlab] k_means DL : 0: k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype -k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant K "prototypes", ou "centroï des" dans les régions de l espace les plus peuplées. Chaque observation est alors affectée au prototype le plus proche (règle dite "de la Distance Minimale"). Chaque classe contient donc les observations qui sont plus proches d un certain prototype que de tout autre prototype
Update : 2025-02-19 Size : 1kb Publisher : faiza
[matlab] Archivos-Matlab DL : 0: Mediante este archivo se puede modular una senal en FM
Update : 2025-02-19 Size : 23kb Publisher : luis
[Other] te-se-mr DL : 0: code for recognition in matlab.. take this code and enjoy/-code for recognition in matlab.. take this code and enjoy/...
Update : 2025-02-19 Size : 24kb Publisher : nishant2
[Other] SE DL : 0: MATLAB小波熵程序，用于对信号进行分析，可较容易得到信号特征。-MATLAB wavelet entropy procedure, used to signal analysis, can more easily get the signal characteristics.
Update : 2025-02-19 Size : 1kb Publisher : Zhang Xiaodong
[matlab] MATLAB DL : 0: 本代码是基于Bell-Se jnowshi ICA算法的独立元素分析matlab代码。-The matlab code forindependent component analysis is based Bell-Se jnowshi ICA algorithm
Update : 2025-02-19 Size : 2kb Publisher : 葛星
[Algorithm] SERIES-DE-FOURIER-EN-MATLAB DL : 0: En telecomunicación, la multiplexión es la combinación de dos o más canales de información en un solo medio de transmisión usando un dispositivo llamado multiplexor. El proceso inverso se conoce como demultiplexión. Un concepto muy similar es el de control de acceso al medio
Update : 2025-02-19 Size : 18kb Publisher : franisra
[AI-NN-PR] CNN DL : 2: 用matlab编写的cnn网络，含有注释，包含训练集和测试集(It is a CNN network written in MATLAB , containing comments, including training set and test se)
Update : 2025-02-19 Size : 21.17mb Publisher : DZ泽通
[Communication-Mobile] maximal-SE-master DL : 0: First, when the inter-user distance d is small, the SNR for D2D communication is high, and hence there are sufficient number of bits for high quality CSI exchange.
Update : 2025-02-19 Size : 15kb Publisher : fouadchab
[matlab] MIMO系统中能效优化方法仿真 DL : 0: 仿真论文大规模MIMO系统中能效优化方法研究_刘永莉中EE关于发射功率，天线数目，SE的优化关系，有相关图(simulation of massive MIMO EE optimization; one can obtain the graph of EE vs. Pt, EE v.s. L, EE v.s SE and L.)
Update : 2025-02-19 Size : 4.1mb Publisher : leedear

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