diyizhang

Different beamforming methods

指纹识别,包括预处理，后处理，特征识别，特征匹配等的代码(zhiwenshibie)

vertical cavity surface emitting laser with gain matlab source code .rar file

本文对3GPPLTE中的OFDMA和SC_FDMA性能通过matlab仿真比较(In this paper, 3GPPLTE in the performance of OFDMA and SC_FDMA arecompared through simulation matlab)

In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.

matlab滤波器，通过此滤波器可以得到所需求的波形(matlab filter, this filter can be the needs of the waveform)

说明：  FR共轭梯度算法求极小值。y为给定函数，x为函数变量，x0为搜索起始点 返回值fm为极小值，xm为极小值点(FR conjugate gradient algorithm for the minimum. y for a given function, x as a function of variables, x0 the starting point for the search to return to the value of fm for the minimum, xm for the minimum point)

运用matlab实现了旋转矢量法的仿真，仿真结果表明了算法的有效性(Using matlab to achieve a rotation vector method of simulation, simulation results show the effectiveness of the algorithm)

System identification with adaptive filter usinglms

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)