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本文提出一种联合盲自适应梯度算法的功率控制算法，该算法同时对功率向量和接收滤波器权向量进行迭代更新。仿真结果表明，采用本文提出 的功率控制算法， 在系统内用户发射总功率一定的条件下， 可以获得更高的用户信干比和更大的系统容量。(Throughout the monograph, we highlight the use of mathematical language and tools in the study of power control, including optimiza- tion theory, control theory, game theory, and linear algebra. Practical implementations of some of the algorithms in operational networks are discussed in the concluding chapter. As illustrated by the open prob- lems presented at the end of most chapters, in the area of power control in cellular networks, there are still many under-explored directions and unresolved issues that remain theoretically challenging and practically important.)

Speech Recognition Using DTW This is a English/Persian 0~9 digit and some primary English/Persian command recognition system which use Dynamic Time Warping (DTW). Code is developed in MATLAB 6.5 and can used in Windows platform. Program has two versions, a command line one and a GUI version. The GUI one is compatible with version 6.5 of MATLAB. It can record sound stream online or can recognize recorded file. A simple an necessary help also integrated in the GUI. To start using this program run Start.m script.

计算mie散射过程中的角度散射函数的值，对研究粒子散射有很大帮助(Mie scattering process of calculating the angle of scattering function value, the study of particle scattering are very helpful)

利用java调用matlab实现图像处理，并利用matlab的结果进行处理(Java call matlab image processing, and use the results of matlab processing)

simulink仿真教程，蹦极模型建模和仿真，传递函数，状态模型(simulink simulation tutorial, bungee modeling and simulation, transfer function, state model)

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming

包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波(ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation: Kalman filter Extended Kalman filter Sigma-Point Kalman filters (SPKF) Unscented Kalman filter (UKF) Central difference Kalman filter (CDKF) Square-root SPKFs Gaussian mixture SPKFs Iterated SPKF SPKF smoothers Particle filters Generic SIR particle filter Gaussian sum particle filter Sigma-point particle filter Gaussian mixture sigma-point particle filter Rao-Blackwellized particle filters The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a). )

this is useful for nakagami random process generation

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face to face through face-side down until the back face, the only