chap11

Astrodynamics library file crack

哈夫变换提取参数 matlab实现 附带测试图像(Hough transform extracted parameters to achieve incidental test images matlab)

基于cpso文章，给出的一个matlab代码，添加测试函数即可运行。(Based on cpso, given a matlab code, add test function can be run.)

说明：  Some common algorithms

matlab实现OFDM的仿真，经过实践和编程仿真，对理论课的内容会有更为直观的认识。(matlab simulation realization of OFDM, after practice and simulation programming, the content of the theory of knowledge will be more intuitive.)

在判别分析中使用粒子群优化算法求解最优判别函数(Particle Swarm Optimization(PSO))

这是一个基于TD－SCDMA系统mimo－ofdm的系统级的仿真模型，希望对大家有用。(This is a based on TD-SCDMA system mimo- ofdm of system-level simulation model We hope that the right useful.)

FLch4GAeg1.m――梯度校正LS辨识程序(FLch4GAeg1.m-- gradient correction LS identification procedures)

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

matlab应用大全-赵海滨，第10章随机神经网络源码(matlab application Daquan- TRADITIONIS Chapter 10 random neural network source)