Digital-signal-processing-matlab

四自由度的简易机器人（转载），通过输入四个关节的旋转角度，显示出实体在X、Y、Z三轴上的投影，并可计算出位置坐标(Simple robot four degrees of freedom (reprint), by entering the four joint rotation angle, showing that the entity in the X, Y, Z axis on the projection, and calculate the location coordinates)

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities. (Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.)

MCS51单片机软件实验，实验中包含了相关程序结果(MCS51 Microcontroller Software The experimental procedures included the results)

Cummulative distribution function codes for communication engineering students to understand the concept of statistical analysis.

天线选择的相关程序，初学者的好帮手！很有用的哦！(Antenna selection procedures, beginners a good helper!)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

此程序为newmark方法，是一种求解动态响应的积分方法。(This program is newmark method is an integral method for solving dynamic response.)

鲁棒估计中的Huber估计，带有界面，可视化好，C#源码(Huber estimation in robust estimation, C# source code)

HOUGH变换用MATLAB实现的代码。。。。(HOUGH transform implemented using MATLAB code)

这个M文件产生了一个以T为周期，来自于经验估计信道的噪声信号，并且仿真了最新的自适应盲均衡恒模算法。(These M-files generate received noisy signals from empirically-measured channels and simulates a blind adaptive equalizer updated with Constant Modulus Algorithm)