peakfinder

利用R的toepliz性质，是实数，则r也应该是实数，是实信号r(-m)=r(m)(Toepliz the nature of the use of R is real number, then r should be real, real signal r (-m) = r (m))

LMS算法的matlab实现，用于智能天线以及波束成形(LMS algorithm matlab implementation, and beamforming for smart antenna)

希尔伯特变换实现了SSB调试，画出信号的时域和频域的图象只管观察(Hilbert transform SSB debugging, draw the signals in time domain and frequency domain image just observed)

倒谱法检测基音周期，基于MATLAB实现(Cepstrum pitch detection, based on the MATLAB implementation)

说明：  matlab实用程序100例之一·········(one of 100 cases matlab utility)

apache maven software

直流伺服电机用MATLAB实现的源代码，伺服系统由具有位置反馈、速度反馈和电流反馈的三闭环结构组成本控制系统采用模糊和PID复合控制，在小偏差时转化为P ID控制，这样就获得了比纯模糊控制更高的稳态精度，有比P ID控制更快的动态响应、更小的超调量。(DC servo motor to achieve with the MATLAB source code, by a position feedback servo system, the speed feedback and current feedback loop structure composed of three of the control system using fuzzy and PID compound control, in a small deviation into the P ID control, so that access to higher than the pure fuzzy control steady-state accuracy, faster than P ID control the dynamic response, smaller overshoot.)

这是我多年MATLAB编程的技巧汇总，希望对大家有用。里面包含命名规则，怎样优化程序等等。(This is my years of MATLAB programming skills summary, I hope useful for everyone. Which contains the naming rules, how to optimize procedures.)

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：  该程序可以用来计算齿轮啮合的时变啮合刚度(Time-varying meshing stiffness of gears)