资源列表
svdnew
- PMSM直接转矩控制系统的空间辨识,辨识出系统介次,和状态空间模型,从而调节控制器参数-PMSM Direct Torque Control System Identification, identify system Kaiji, and the state-space model, adjust the controller parameters
wnlb
- 一个维纳滤波算法,利用MATLAB编写的,解压后可直接调用-a Wiener filter algorithm, using MATLAB, unpacked directly call
echocanceller
- 用带leaky因子的GEIGEl算法进行语音状态检测的回声消除程序及其性能测试曲线-used with leaky factor GEIGEl algorithm for detecting a state of the Voice Echo Canceller procedures and their sexual test curve
image_enhancement
- image enhancement matlab code ,can improve the picture quality ,especially for the image with low quality .-image enhancement Matlab code, can improve the picture quality. especially for the image with low quality.
matlabcs
- 三次样条插值的源程序，程序稍稍长了点 希望大家能用到-cubic spline interpolation of the source, procedures slight hope everyone can wait to
cardoso
- 盲信号处理牛人cardoso，关于盲信号处理代数方法的程序-联合对角化算法。研究盲信号处理的人必读程序。-blind signal processing cattle were cardoso. on the blind signal processing methods of algebraic-joint diagonalization algorithm. Blind Study of the signal processing procedures mandatory.
tmmforgrating
- 用传输矩阵法计算光栅场，寻找bloch 模-use of the transfer matrix method grating market, find bloch Die
tmmcoupling
- THIS M-FILE USES THE TRANFER MATRIX METHOD TO EVALUATE THE COUPLED-MODE ％EQUATIONS. THE REFLECTION SPECTRUM OF THE GRATING AND THE TRANSMISSION ％SPECTRUM, DELAY AND DISPERSION OF THE FABRY-PEROT FILTER ARE SIMULATED-THIS M-FILE TRANFER USES THE M
LP01
- 计算光子晶体的lp01模场分布，和截面场分布彩图-calculation of photonic crystal lp01 mode field distribution, and section distribution maps
chapter1-2
- 这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv
yhzgah_sars
- 用遗传算法优化神经网络权值的工具箱，很好用。解决神经网络全局收敛问题，训练速度快-genetic algorithm optimization neural network toolbox value of the right to good use. Neural network address global convergence, speed training
ekf_4d
- 一个四维状态、二维观测的目标跟踪扩展卡尔曼滤波程序，附有详细的说明。-a four-state, two-dimensional observation of the target tracking extended Kalman filtering process, with detailed explanations.