Asymmetric transmission

用于解反问题的共轭梯度法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x(Solution of inverse problems for the conjugate gradient method, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x)

echo suppression and noise cancellation

Fundamentals Of Discrete Math Computer Science

This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.

Modal Analysis in this code you can enter the K abd M matrix an then finde the frequency and mode shape with their figures

subplot matlab tool is a new description for make figures

simulink模型 仿真WCDMA 上行链路(simulink of WCDMA uplink)

根据阶跃响应实验数据，利用PEM函数辨识MAF传感器的模型(experimental data and the use of PEM function identification MAF Sensor Model)

传感器系统的偏差估计方法，包括批处理最小二乘和递推最小二乘的实现代码。(The code realize the deviation estimation methods of the sensor system, including batch least squares and recursive least squares implementation.)

该算法在优化方面性能比较好，可用于函数极值，解方程，并且在前向神经网络权值和网络结构的训练也表现了不错的性能(The algorithm in the optimization performance is better, can be used in extreme value function, solve equations, and the former to the neural network weights and network structure of training has shown good performance)