MATLAB123

fixed point method of matlab

用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。(For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general understanding.)

位场数据处理完整程序包，完整好用，多多指教!(The complete program for potential field data processing.)

说明：  本书从MATLAB仿真的角度出发，系统地介绍了系统辨识与自适应控制的基本理论和方法。本书共6章，主要内容为：绪论、系统辨识、模型参考自适应控制、自校正控制（包括广义预测控制）、基于常规控制策略的自校正控制和非线性系统辨识与控制（包括神经网络和模糊控制）。书中每种算法都配有仿真实例、仿真程序、仿真结果以及对仿真结果的简要分析，以便于读者深入理解和运用基本理论和算法(From the perspective of MATLAB simulation, this book systematically introduces the basic theories and methods of system identification and adaptive control. This book has 6 chapters, the main contents are: introduction, system identification, model reference adaptive control, self-tuning control (including generalized predictive control), self-tuning control based on conventional control strategies, and identification and control of nonlinear systems (including neural network) And fuzzy control). Each algorithm in the book is equipped with simulation examples, simulation programs, simulation results, and a brief analysis of the simulation results, so that readers can deeply understand and use basic theories and algorithms.)

对瞬时特征提取过程进行了描述，具有一定的参考价值(The instantaneous feature extraction process is described, with some reference value)

MU-MIMO中的快速用户配对算法的MATLAB程序。(fast user pairing algorithm in MU-MIMO)

matlab code for MATLAB serial - code example

盲信号处理是近十几年来信号处理研究较活跃的方向，它目前在许多领域有广泛的应用。(Blind signal processing is the last decade more active signal processing research direction, it is currently in many areas have a wide range of applications.)

i send the matlab codes for embedded zero tree and se partioning in hierarchial trees in image compression.I also send matlab code for speech compression using rabiner algorithm amd OFDM transceiver design.

matlab实现决策树C4.5算法,首先利用训练数据创建决策树，再用测试数据对决策树进行剪枝。(C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning.)