power_flickermeter

matlab的随机数生成算法， 产生伪随机数(matlab random number generation algorithm to produce pseudo-random number)

hooke code hooke code hooke code hooke code hooke code

Image Super Resolution via Sparse Representation.Image Super Resolution via Sparse Representation.(Image Super Resolution via Sparse Representation.Image Super via Sparse Representation.)

Cruise control of a linear system. This matlab code simulates the cruise control and verifies the performance of the cruise control.

“Applied Econometrics using MATLAB”配套的计量经济Matlab包(MATLAB code for: 1. least-squares, simultaneous systems (2SLS,3SLS, SUR) 2. limited dependent variable (logit, probit, tobit) and Bayesian variants 3. time-series (VAR, BVAR, ECM) estimation and accompanying forecasting functions 4. ridge, Theil-goldberger, switching regimes, robust regression 5. regression diagnostics, e.g. Belsley, Kuh Welsch, Cook-Weisberg 6. cointegration testing 7. statistical distributions (CDF, PDF and random deviate generation) 8. Bayesian Gibbs sampling estimation and MCMC convergence diagnostics 9. maximum likelihood and Bayesian spatial econometrics functions 10. lots of other stuff, over 350 functions)

倒立摆的编程，单级倒立摆，完美运行，比较好的程序(daolibai kongzhi )

说明：  既可以用于高压输电网的潮流解算，又可以用于低压配电网的潮流解算，还可以同时解算输电网 加配电网的混合潮流问题,程序为PQ 分解法.(Both the trend for high-voltage transmission grid solver, but also the trend for low voltage distribution network solver, solver can also increase with the power transmission grid hybrid power flow problem, the program for the PQ decomposition.)

说明：  无线传感器网络路由算法，采用最短路径，先搜索节点的一跳范围的距离，再搜索两跳的距离，仿真效果良好。(Wireless sensor network routing algorithm, using the shortest path first jump of the scope of the search node distance, and then search for the two jump distance, simulation results were very good.)

Matlab based Radio Resource Management for Wireless Networks. Normalized enteries calculated in matrix.

Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.