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MATLAB的几个讲解实例！！！！！很好有。有要的就下吧！(MATLAB)

一种新的稀疏问题的直接求解算法——平滑l0算法(Sparse problems can by directly solved by a novel algorithm-- smoothed l0 method)

matlab教程(中文版) 适合刚入门学习matlab的朋友~~(matlab-course-(Chinese version))

包括一些Probability_and_Stochastics 蒙特卡洛算法等程序。。。(Including some Probability_and_Stochastics Monte Carlo algorithms and other procedures. . .)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

Biot理论，正演程序，适合初学者的Biot理论程序，很实用的(Biot theory)

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)

说明：  <最优化及matlab的应用>课后题的编程(Most optimized operating)

IP175A circuit application

支持向量机的MATLAB程序，实现行为检测(MATLAB support vector machine procedures to achieve behavior detection)