MatlabSpectralMethods

this is a code for matlab simulation in GSM this formula calculats blocking prob

TRANSIENT RESPONSE OF THE ELECTRICAL CIRUITS USING MATLAB SIMULATION

说明：  通信系统仿真中的滤波器的设计的一个简单的小程序(Communication System Simulation in the design of the filter a simple applet)

说明：  Matlab学习宝典 绘图 Matlab学习宝典(Matlab learning learning Matlab graphics Baodian Baodian)

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

编制以M序列为输入时，脉冲响应的相关分析算法并检验。(The preparation of the M sequence as input, the impulse response of the correlation analysis algorithm and test.)

基于无传感器的矢量控制的matlab的程序框图，经试验，可以正常运转(Based sensorless vector control matlab block diagram, the test can be normal operation)

Particle Swarm Optimization with different ineria weights

After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-likelihood ratio (LLR) of a posteriori probability (APP) of each coded bit conditioned on the received signal y is normally calculated using the max-log approximation.

数字信号处理的matlab实现 2012版 该书为第二版本，具有更多的范例。(Matlab digital signal processing to achieve the 2012 edition of the book is the second edition, with more examples.)