Spectrum-Sensing

system identification with regularized least squares

This is the code of indian Game KYA AAP PAANCHVI PAAS SE TEZ HAI! add more questions to expand the game by using the same structure copy and paste.(MATLAB code)

检测时间序列的平稳性，可以说是一种新的检测混沌的方法(Detect stationary time series, it can be said is a new method of detection of Chaos)

this is the matlab ebook for digital signals and signal processing.......

Fisher线性鉴别分析方法(FLDA)(Fisher linear discriminant analysis (FLDA))

matlab code for edge detection

在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为： y(t)=a(t)Cos[2π(fo+f1)(t-△t)] 式中 △(t)=d(t)/c 且 a(t)=k/d2(t) 在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as: y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)] Where △ (t) = d (t)/c And a (t) = k/d2 (t) In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)

this development will help to develop your program nicely. please read it and make improvement.

Un script est un ensemble d’instruction MATLAB qui joue le rô le de programme principal. Si le script est écrit dans le fichier de nom nom.m on l’exécute dans la fenêtre MATLAB en tapant après « >> » nom

Lagrange Interpolation