D_L_sift

说明：  神经网络 侯媛彬 西安电子科技大学出版社 全书程序文件夹CH6(Neural network)

2010年最新原版英文专著Matlab codes for finite element analysis一书源码。这本书介绍了基于Matlab的实体和结构有限元分析方法，深入浅出，十分经典。(English version 2010, the latest monograph on Matlab codes for finite element analysis of a source book. This book describes the physical and Matlab-based finite element method, easy to understand, very classic.)

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)

1.产生阶数为n的m序列。 2.测试阶数为n的m序列是否满足m序列性质。（与相应的m序列生成程序配合使用。实现检测效果）(1. Generate the order number n, m sequence. 2. Testing the order of n-m-sequence satisfies the nature of m sequences. (With the corresponding m-sequence generation program used in conjunction. To achieve detection results))

小波分析必备教材，小波十讲简明较易懂，帮助学习小波理论(wavelet)

“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)

sobel算子，边缘检测算法，对初学者有参考作用(sobel operator, the edge detection algorithm, a useful reference for beginners)

基于matlab的巴特沃斯低通滤波器设计程序(Matlab based on the Butterworth low-pass filter design program)

运用tls-esprit方法估计信号简谐波频率(Estimation the frequencies ofsignal using total least square-esprit algorithm)

用Matlab制作的简易GUI日历，由于没有涉及到GUIDE的使用，所以更值得供初学Matlab GUI设计的程序员(Calendar)