t_denoising

图像去模糊---matlab，信号与系统，大作业题目，非常不错，希望您喜欢。(Image deblurring--- matlab, signals and systems, large job title, very good, I hope you like it.)

计算Mel倒谱系数的matlab程序，非常经典的一个程序。(MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) )

电磁场与电磁波课题阶段性研究以及公式推导(Electromagnetic Fields and Waves phased research topics as well as the derivation formula)

依据自相关运算和互相关运算的原理，对一信号进行自相关操作(Based on autocorrelation and cross correlation by using the principle of a signal from the correlation operation)

一篇蛮好的文章，关于MATLAB的仿真和实例说明，包括一些simulink里面的模块说明(A fine article on the MATLAB simulation and examples, including some inside the module that simulink)

男女心理因素与择业选择仿真 将数学于心理学相结合，以著名的卡特尔16种性格因素为背景，对数十名男女生的性格因素为基础应用层次分析法得出男女生对不同职业的适合程度。(psychological factors and men and women choose careers in the mathematical simulation to combine psychology, the cartel is famous for the 16 personality factors as the background, dozens of boys and girls in the character-based applications factors AHP boys and girls come to different occupations suitability.)

调幅中波收音机的接收频率段为550KHz到1605KHz，中频为465KHz。调幅传输模型，对超外差式中波收音机建模(AM medium wave radio frequencies to 550KHz receiver to 1605KHz, IF is 465KHz. AM transmission model, modeling superheterodyne AM radio)

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.)

说明：  bandit-alg-lib-master

说明：  比较了FFT算法和低通滤波器在去除噪声中的作用(compared the FFT algorithm and low-pass filter to remove noise in the role)