daopu

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

simlingk仿真与编程，如何使用simlingk，以及一些工程案例(simlingk simulation and programming, how to use simlingk, and some Projects)

this zip file contains matlab implementation for generating gabor filter banks and applying on image directory and then followed by applying local directional pattern for feature extraction and histogram for each image is calculated

Waterfilling is weight in MIMO for higher capacity channel

Ellipsoid fit, fit ellipse on 3d data, matlab

Plots the results for a mass-spring system.

一个相对完整的OFDM通信系统的仿真设计，介绍了各种模块功能。(Design and Simulation of a relatively complete OFDM communication system, introduces the various functional modules.)

灰色GM（1,1）预测matlab程序。(gm（1，1）)

功能强大的ldpc_toolkit，是一个完整的实例(A complete LDPC_decode program )

用matlab编写的用于描述L系统(植被仿真)的源程序，文件夹中包括描述其理论的基本文献(Using matlab for the description of the L system (vegetation simulation) of the source folder, including a description of the theoretical literature)