资源列表
de_precoding
- TD-LTE 物理层解传输分集预编码matlaB仿真程序-TD-LTE physical layer solution of transmission diversity precoding matlaB simulation program
toolbox_signal
- matlab编写的信号处理工具箱，很多程度，对于信号处理的很有用-matlab program for signal processing
data-structure-algorithms
- 用C++实现数据结构中的各种算法,内容非常详细，适合初学者-In C++ data structure in a variety of algorithms, very detailed, suitable for beginners
Kalman_
- EKF for Kalman filter function [x,P]=ekf(fstate,x,P,hmeas,z,Q,R) EKF Extended Kalman Filter for nonlinear dynamic systems [x, P] = ekf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P -EKF for Kalman filter function [x,P]=ek
UKF
- UKFfunction [x,P]=ukf(fstate,x,P,hmeas,z,Q,R) UKF Unscented Kalman Filter for nonlinear dynamic systems [x, P] = ukf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P -UKFfunction [x,P]=ukf(fstate,x,P,hmeas,z,Q,R) UKF Un
Fire
- fire using C++ //globals LPVGA lpVga=NULL //pointer to CVga LPPALETTE lpPalette=NULL //pointer to palette
PiecewiseFPGA
- 使用分段逼近(piecewise approximation)算法计算超越函数,以神经网络中最常用的双曲正切型(tanh)传输函数为例来分析逼近精度同分段数、有限字长之间的关系。 -Using segmented approximation (piecewise approximation) algorithm for computing transcendental functions, to the most commonly used neural network type hyper
EM_GM
- gaussion medel function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) -gaussion medel function [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init) [W,M,V,L] = EM_GM(X,k,ltol,maxiter,pflag,Init)
pdco
- 斯坦福大学的原始对偶内点法软件包,权威之作！-primal dual interier point algorithm
Robotic-laser-welding
- 机器人焊接激光技术，基于焊接用激光来完成焊接的智能化工能-Robotic laser welding
DDMSVAR03
- ddmsvar oxmetrics cod markov switching model
Numerical-Recipes-Source--C2.02
- Numerical Recipes Source- C2.02.zip