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实现 AWGN信道下的理论误码特性和仿真误码特性，GSM系统卷积码在AWGN信道的误码特性，GSM系统卷积码在突发信道和AWGN信道的误码特性，GSM系统卷积码和交织编码在突发信道和AWGN信道误码特性(AWGN channel to achieve the theoretical BER performance and simulation of BER performance, GSM system, convolutional code in AWGN channel BER performance, GSM system, convolutional code and the AWGN channel in the burst channel error characteristics, GSM system, convolutional codes and interleaved coded in the emergency channel and AWGN channel BER performance)

vmp is the file generate from Brainvoyager which can link vtc file and the 3D image. This toolbox help you to edit vmp file in matlab.

MATLAB图像处理实现螺纹识别 源程序代码(MATLAB image processing to realize thread to identify the source code )

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

this is about space vector modulation

MRC + Gradient method

用matlab实现1000组复数数据的拟合，并计算拟合函数的归一化均方误差（NMSE）.(1000 groups using matlab fitting complex data, and calculate the fit function normalized mean square error (NMSE).)

用matlab对2fsk信号进行调制和解调(2fsk signal using matlab on the modulation and demodulation)

简单的最小二乘逼近算法，用于系统辨识，方便修改噪声参数和系统参数，为系统辨识和仿真作业的源代码。(Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identification and simulation of the source code of operation.)

变化列表 varyQueue.js 变化列表 varyQueue.js(vary Queue)