cognitive

cement, modeling cemented sand

LMI及鲁棒预测控制工具书，基于matlab编程环境。(LMI and robust predictive control tool, based on matlab programming environment.)

matlab绘制蝙蝠侠的经典logo的代码，放在目录下即可运行，从matlab论坛下载的(matlab draw Batman' s classic logo of code to run on the directory, download matlab Forum)

说明：  voiceprint声纹识别算法的实现MSR(speaker varification by I-Vector,)

matlab用标准遗传算法求f(x)=x2－22x+30函数的最小值，x [0,31]。 包含源码及结果(matlab using standard genetic algorithms f (x) = x2-22x+30 the minimization, x  [0,31]. Includes source code and results)

C Code example with EII

单相LCL滤波器的并网逆变器控制系统simnlink搭建图，可以一起进来学习下哦(Single-phase LCL filter and inverter control system simnlink build map, you can come together to learn next, oh)

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：  有关于光学的MATLAB程序仿真，关于衍射，折射等光学现象(The optical MATLAB example can be used by beginners)

This file computes the distortion of speech files regarding to lpc model in different subbands.