EXP01

小波去噪,利用小波系数在相邻尺度上的相关性关系,针对小波系数估计中硬阈值方法和软阈值方法的缺点, 通过对双重量收缩函数得到的阈值乘以一个合适系数进行修定的折衷方法,提出了一种新的小波域局部自适应去噪算法.实验结果表明,该方法既可以去除噪声,又可以较好地保留图像的高频细节特征.(Wavelet denoising using the wavelet coefficients in adjacent scales of the correlation relationship between the estimation of wavelet coefficients for the hard thresholding and soft thresholding shortcomings, through the contraction of the double weight of the threshold function has been multiplied by a suitable coefficient revised compromise, proposed a new wavelet-domain partially adaptive denoising algorithm. The experimental results show that the method can remove noise, also can be used to retain the details of the characteristics of high-frequency images.)

说明：  基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序(Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs)

this is scw algorithm to find out the region of interest in given car image to find out license plate

说明：  用jakes模型进行信道的matlab仿真，并且配有完善的多径瑞利信道(By jakes matlab channel model simulation, and with multi-path Rayleigh channel sound)

说明：  用传输矩阵法，模拟取样光纤光栅的反射谱特性(using transfer matrix method to simulate the reflection of sample fiber grating.)

Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code

不同信噪比情况下的能量检测方法的检测概率(energy detection)

主要用于实现模糊滑模控制，不仅效果明显，而且代码简单有效(fuzzy sliding control)

基于RBF网络补偿的控制输入受限滑模控制(Compensation control based on RBF network sliding mode control input constraints)

说明：  粒子群优化算法 相信有不少人知道粒子群优化吧。算法简单而且寻优的速度快。我用matlab写了PSO的实现程序，相信对对这方面感兴趣的兄弟有用。为了比较直观的演示PSO的算法，用了2维的。 (PSO algorithm believe a lot of people know it PSO. A simple algorithm optimization and faster. I used Matlab was the PSO procedures, I believe this area of interest to the brothers useful. In order to compare the visual presentation of the PSO algorithm, with a two-dimensional.)