matlab-svm-toolbox

Bifurcation Digram of Ikeda map

Raznoe pro artCAM 2009 manual

Matlab 中常用的图像图像处理源程序。(Image processing method and program)

本函数在matlab实现阻抗圆图，通过调用switch（）函数，可以得出传输线的反射系数，以及支节匹配等参数，本函数可以实现单、双和三支节匹配。(The realization of the impedance function in matlab circle map, by calling the switch () function of transmission line can be drawn of the reflection coefficient, as well as the support section to match the parameters, this function can achieve a single, double and three matching section.)

无线通信中，多径信道下，为了消除码间干扰，设计的均衡器，并且是采用自适应的LMS算法，同时用训练序列，通过迭代的方式，自适应调整均衡器的各个参数。(Wireless communications, multi-path channel, in order to eliminate inter-symbol interference, the design of equalizer, and the LMS adaptive algorithm, at the same time using the training sequence, the way through the iterative, adaptive equalizer to adjust the various parameters.)

Matlab leaf recognition awesome code

A Fully Parallel 1-Mb CAM LSI for Real-Time

we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application’s quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.

小世界网络模型源代码，介绍小世界网路模型原理，实现代码和在pajek中实现仿真(Small world model code)

本程序涉及到了OFDM的matlab实现 在其中涉及到了峰均比的优化问题 使用多次限幅滤波(This program involves the OFDM matlab in which involves peak than optimization problem Using multiple limiting filtering)