Image-Fusion-using-UnDecimated-Wavelet-Transform

1. Extract files and run Audio_denoise_main.m file folder... 2. Click on Load & play Audio file and Original sound.wav file 3. Then using slider AWGN (White gauusion noise)...it is vary 1 to 10 set it to 10.. 4. now click on Add Noise and play... 5. u can save noisy signal by save noisy signal tab... 6. now wavelet... 7. thresholding.. 8. now click on Denoise and play....wait for some time...this will take 25 sec time 9. now save that denoised signal...and record all output parameters... 10. now click on clear all and exit

说明：  Simulation distribution1

5节点潮流计算，简单方便实用，可以任意改写(5-node power flow calculation, simple, convenient and practical, can be rewritten arbitrarily)

This is an example of PLL demo

无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf(In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di)

Help psoToolbox V1.0 psoToolbox provides an interective GUI based Toolbox to solve optimization problems using particle swarm optimization. Creat a fitness function in M-file. Inputs: Function : Function handle of fitness function. Nvars : Number of variable to be optimized. LB : Lower Bound of Nvars (1 X Nvars) UB : Upper Bound of Nvars (1 X Nvars) Parameters: C1 : Cognative Attraction C2 : Social Attraction W : Inertial Population Size : Number of Swarms Max Iterations : Maximum number of epochs. Click on " RUN PSO " button to start PSO search. You will get the out put at Edit box below the axes.

次资料为VB和MATLAB混合编程的电子资料，希望对学习这方面知识的网友有帮助！(Meeting information for the VB and MATLAB programming hybrid electronic data, and they hope to study this area of knowledge has helped friends!)

卫星轨道仿真，源码，C++，定位等信息GEllipticalOrbit.cpp登文件(Satellite orbit simulation )

matlab的详细说明，及叙述的方法及类别。简单语句的详细说明。(Matlab the detailed descriptions, and describes the methods and categories. Simple statement of detail.)

matlab est le meuilleur programme pour traiter des informations