maximumpower

采用matlab实现图像融合算法研究，内容不错。(Using matlab to achieve image fusion algorithm, the content is true.)

综合使用多种方法使模糊的人体骨架变清晰，空间图像域的增强(The integrated use of a variety of ways to obscure a clear change in human skeleton)

takagi sugeno model for inverted pendulum

AIRCRAFT TURBINE ASSEMBLY

OFDM的一些基础步骤，希望对大家的学习有所帮助。(OFDM some basic steps, we want to help learning.)

CW脉冲模糊图与模糊度图代码，可以直接运行！(CW- Pulse fuzzy and fuzzy graph code, you can directly run! )

CEC2009的测试源码以及文章，对于研究智能优化算法的人员很有帮助(Source code and test article CEC 2009, the study of intelligent optimization algorithm staff helpful)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识(In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or three-dimensional non-linear function of training, can also be used in a complex system, two or more independent variables, any dimension Parameter identification of nonlinear dynamic)

说明：  高光谱图像的nfindr算法用于端元提取(gaoguangputuxiangdenfindrsuanfayongyuduanyuantiqu)