daima

各种数字波束形成算法。如最小方差无畸变响应MVDR,LCMV等。(A variety of digital beamforming algorithm. Such as minimum variance distortion-free response MVDR, LCMV and so on.)

利用matlab对方程求根进行了编码计算(Solving the equation using matlab code were calculated)

说明：  超声图像重建，包括基本步骤和一部分源代码。可用作实验设计。(Ultrasound image reconstruction)

一个非线性滤波器的实现程序，能够实现其基本的功能，对于初学者很有帮助。(A nonlinear filter is implemented procedures to achieve its basic functionality, useful for beginners.)

基于K均值的PSO聚类算法,用于图像处理的独立分量分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( K-means clustering algorithm based on the PSO, Independent component analysis for image processing, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

考虑一个信道失真了的脉冲x(t)，在均衡器的输入端由下式表示：x(t)=1/(1+(2t/T)^2) 其中1/T为符号率。该脉冲以2/T采样率被采样，而且用一个2K+1=11的强迫归零均衡器进行均衡。写一个Matlab程序来解这些迫零均衡器的系数，求出并画出这个迫零均衡器50个采样值的输出。(Considering a channel distortion of the pulse x (T), the input end of the equalizer is represented by the X (T) =1/ (1+ (2t/T) ^2). 1/T is a symbol rate. The pulse is sampled at the 2/T sampling rate and is balanced by a 2K+1=11 forced zero equalizer. A Matlab program is written to solve the coefficients of these zero forcing equalizers and to find out and draw the output of the 50 sampling values of the zero forcing equalizer.)

蚁群算法实现tsp问题的解，适合初学者使用(Ant colony optimization tsp solution of the problem, for beginners)

说明：  针对煤矿井下巷道狭长，信号多径效应明显，接收信号强度（RSSI）测距算法受井下环境影响大，定位精度低的情况，提出了一种信标节点链式部署结构下的动态RSSI测距算法，该算法以信标节点间的距离和它们间测量到的RSSI值为参考，计算巷道内实际环境下的路径衰落指数，以提高RSSI测距算法对环境的适应性。(A dynamic RSSI location algorithm is proposed based on the beacon nodes chain deployment of tunnel Wireless Sensor Networks and the algorithm takes the distance and the corresponding RSSI between the adjacent beacon nodes into account to calculate the actual path loss parameter in the tunnel, thus improving the environmental adaptation of the location algorithm. )

thnx for ur concern which helps me out simulink problems

深度学习工具箱的matlab程序，包括NN,CNN,CAE,SAE,DBN等多种深度学习算法。 (It s a deep learning toolbox of matlab, including NN, CNN, CAE, SAE, DBN and other deep learning algorithms.)