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matlab coade source for smart antenna for the simutalion of smart antenna in matlab

ldpc cml simulation using dvbs2 matlab tool

说明：  Matlab图形辅助小波分析，压缩文件中包含几个典型的重要例子(Matlab graphics support wavelet analysis, compressed files contain several important examples of typical)

MATLAB数值分析与应算习题代码8 9节，用于学习交流，不可用商业用途。(MATLAB Numerical Analysis and Problem code 89 should be considered section for learning exchanges, can not be used for commercial purposes.)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield in 1982. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but convergence to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum) can occur. Hopfield networks also provide a model for understanding human memory.

关于msk的调制解调 特点是程序简洁 可以迅速产生信号 节省运行时间(On the MSK modem is characterized by simple procedures can be quickly generated signal to save run-time)

无线传感器网络定位用到的无线传输模型 Regular Model, Logarithmic Attenuation Model, DOI Model, RIM Model (Wireless sensor network localization using wireless transmission model, Regular Model, Logarithmic Attenuation Model, DOI Model, RIM Model Achieve functional distance and transmission attenuation swap ~~~~~~~~~~~~~~~~~~~~~~Regular Model~~~~~~~~~~~~~~~ In this model, the radio range is a circle ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ReceivedSignalStrength=SendingPower-PathLoss e.g, RSS=Pt-Pl(d0)-10*η*log10(dist/d0) Pt:transmit power pl(d0):the pass loss for a reference distance of d0 ηis the path loss exponent above parameters are saved in ../Parameters_Of_Models.mat dist:distance between sender and receiver(m) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ typical value:Pt=0-4dBm(max),Pl(d0)=55dB(d0=1m),η(2~4)=4(indoor,outdoor) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~Logarithmic Attenuation Model~~~~~~~~~ In this model, the radio range is a circle ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ReceivedSignal)

PID control simulation(matlab simulation for pid controller)

说明：  可压缩传感,随机投影,稀疏性,非相干,图像重建(Compressible sensing, random projection, sparse, non-coherent, image reconstruction)