attachments

implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive beamforming and filtering for antenna arrays.

matlab的GPS工具箱，亲测可用，内附使用说明(GPStoolbox of matlab)

Application of digital Beamforming methods

Image stegnography USING DCT

其文章包含4个文件:些文件是基于matlab的源程序:P0309：运用5种不同的梯度增强法进行图像锐化P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图P0312利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处(The article contains four documents: these documents is based on the matlab source: P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask handle P0311: the use of Butterworth (Butterworth) low-pass filter for noise interference by the use of the map P0312 Butterworth (Butterworth) high-pass filter for image sharpening Department)

matlab 二维高斯椒盐噪声去噪 基于小波变换的图像去噪滤波(matlab )

自适应算法的仿真，能实现很好的适应过程,解决干扰的影响(Adaptive algorithm simulation, can achieve a good adaptation process to resolve interference)

The most ofICI avoidance algorithms divide UEs into cell edge and cell centre users based on static thresholds such as path loss, SINR and geometry factors. However, in an actual communication environment, the UE distribution as well as the shape of a cell can be changed. Therefore selection of the cell edge bands is difficult and needs to be optimized according to the time variation environment. Reference [6] proposed an ICI avoidance algorithm that can change cell edge bands dynamically. For each active UE and every time gap (the update duration of CEU/CCU), the threshold is updated based on SINR in order to keep the ratio of number of CEUs and CCUs constant. Then, cell weight is calculated to follow the instant changing of network.

神经网络与机器学习--Simon Haykin中的PPT的练习题答案(Neural Networks and Machine Learning- Simon Haykin exercises in answer to the PPT)

kalman滤波的MATLABdemo，适合MATLAB初学者学习(matlab kalman)