channel

QAM调制的MATLAB仿真程序，是深入理解调制解调的一个很好的例子。(QAM modulation MATLAB simulation program, an in-depth understanding of modulation and demodulation of a good example.)

小数据量法计算 Lyapunov 指数的 Matlab 程序 - (mex 函数，超快)( Lyapunov number)

非常好的matlab代码，欢迎下载分享学习！！！(this is a very good！！！！！！！！！)

设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。(Design a CQMFB, low pass filter H_0 (z) the half-band filter. The length of the half-band filter 47, passband cutoff frequency ω_p = 0.42π, try to give H_0 (z), H_1 (z), G_0 (z), G_1 (z) of the amplitude-frequency response, the unit sample response and Paint. Try to generate a signal that consists of two sinusoidal composition plus white noise, a low frequency, a high frequency in the signal to noise ratio, frequency and sine and white noise of its own given. Trial designed filter group that signal decomposition and reconstruction. Results were rebuilt, and the results continue to be analyzed.)

对于petri网原理与应用相关论文研究(the implication of petri net)

125k RF card em4100 information

基于灰色理论的负荷预测的程序，可用于MATLAB神经网络预测，通过负荷自身的变化来预测未来的负荷值(The load forecasting procedure based on grey theory can be used in MATLAB neural network prediction, and the future load value can be predicted by the change of load itself.)

matlab6.x信号处理,超星pdg格式，清华大学出版社(matlab6.x signal processing, Chaoxing PDG format, Tsinghua University Press)

N-FINDR PPI 1D 2D 3D HFC CCA ILSIA LAMATGP算法的 改进代码(N-FINDR PPI 1D 2D 3D HFC CCA ILSIA LAMATGP improved algorithm code)

1.IMM.m 主要功能： （1）IMM算法的实现； （2）画出目标轨迹与利用IMM算法跟踪目标的轨迹； （3）画出位置误差与速度误差； （4）画出模型混合概率图。 2.Target_track.m 主要功能： 实现目标轨迹的产生。 3.Model_mix.m 主要功能： 实现IMM算法下，各模型的估计融合。 4.Kalman.m 主要功能： 实现模型的条件滤波，以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)