New-folder

说明：  基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现(Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming)

is the strategy for modelling and simulation of a generator

信号分析示例，包括时域、频域、均方根谱、功率谱、对数谱分析结果，均有相应的图示和注释说明。(Signal analysis of sample, including time domain, frequency domain, the RMS spectrum, power spectrum, the logarithmic spectrum analysis results, have corresponding diagrams and notes.)

图论基本函数库,函数相当丰富.包含 图论工具箱、基本图论函数库、Dijkstra最短路径、Kruskal最小生成树(The MATLABBGL library fills a hole in Matlab s suite of algorithms. Namely, it provides a rich set of algorithms to work with graphs, as in graph theory graphs. The MatlabBGL package uses Matlab s native sparse matrix type as a graph and provides algorithms that work )

说明：  .附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

基本PCNN演算法，處理圖像的基本類神經網路。(Basic PCNN algorithm, the basic image processing and neural networks.)

三维数字滤波器中的butterworth理想低通滤波器的matlab仿真及其结果(3 d digital filter butterworth ideal the low-pass filter of matlab simulation and the result )

这个是我数字信号处理这门课的课程设计,文件包括用matlab编写的代码和设计报告.这个设计包括卷积演示程序、采样定理演示程序、模拟滤波器设计演示程序、设计切比雪夫I型低通滤波器、切比雪夫I型低通滤波器、双线性变换法设计巴特沃斯低通数字滤波器、用凯塞窗设计高通滤波器.(This is my digital signal processing the course of the curriculum design, preparation of documents including the use of matlab code and design report. Convolution demonstration of this design include the procedures, sampling theorem demo program, analog filter design demo program, design Chebyshev-I low-pass filter, Chebyshev type I low-pass filter, bilinear transform design Butterworth low-pass digital filter with Kaiser window design high-pass filter.)

Sequence Design for Cognitive CDMA Communications under Arbitrary Spectrum Hole Constraint

高准确度,支持50Hz/60Hz IEC 687/1036 标准的准确度要求,在500:1 的动态范围内误差小于0.1 (High accuracy, supports 50Hz/60Hz IEC 687/1036 standard accuracy requirements, the 500:1 dynamic range of error is less than 0.1 )