fiberlaser_Multi6

说明：  利用lms算法实现自适应滤波器的matlab仿真(The use of LMS adaptive filter algorithm matlab simulation)

QPSk MOdulation SNR and BER

multiple FDF file reader build on the Sharon Zhang FDF reader.

说明：  由simulink搭建的串级控制系统，希望有所启发(Simulink erected by the cascade control system, hoping to inspire)

有向图中，求最小费用最大流的一种方法，matlab(Directed graph, and the minimum cost and maximum flow of a kind of method)

用遗传算法GA优化RBF神经网络，对柴油机进行故障诊断(Optimization RBF neural network using genetic algorithm GA, diesel engine troubleshooting)

histogram on color image ... .. so ..

MATLAB编程案例 小圆绕大圆内或外侧运动求小圆上一点的轨迹并画图(MATLAB Programming cases or outside the small circle around the great circle motion seeking a little on the small circle of track and drawing)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  VMD算法，VMD是一种新的自适应信号处理方法，对非平稳、非线性信号具有良好处理效果(VMD algorithm, VMD is a new adaptive signal processing method, which has good processing effect on non-stationary and non-linear signals)