Informe

生物医学信号处理是以数字信号处理为基础的离散信号及 离散系统的研究，因此．其预算过程基本上都是卷积或者相关预 算。在MATLAB中可以很容易实现这种运算。(Biomedical signal processing is based on digital signal processing discrete signals and discrete systems research, therefore. The budget process is basically the convolution or related budget. In MATLAB, can easily achieve this operation.)

codigo para el reconocimiento de voz jmnlñ mm

doa超分辨算法是当前雷达测角的研究热点。music算法是此类算法的基础。该仿真程序有助与迅速了解算法流程。(DOA super-resolution algorithm is the research hotspot of radar angle measurement. The music algorithm is the basis of this kind of algorithm. The simulation program helps to quickly understand the algorithm flow)

concerned with the blind identication of bilinear systems excited by higher-order white noise. Un- like prior work that restricted the bilinear system model to simple forms and required the excitation to be Gaussian dis- tributed, the results of this paper are applicable to a more general class of bilinear systems and for the case when the excitation is non-Gaussian. We describe an estimation pro- cedure for the computation of the system parameters using output cumulants of order less than four.

matlab ϵͳ

function [t_fismat, t_error, stepsize, c_fismat, c_error] ... = anfis(trn_data, in_fismat, t_opt, d_opt, chk_data, method) ANFIS Training routine for Sugeno-type FIS (MEX only). if nargin > 6 & nargin < 1, error( Too many or too few input arguments! ) end Change the following to set default train options. default_t_opt = [10 training epoch number 0 training error goal 0.01 initial step size 0.9 step size decrease rate 1.1] step size increase rate Change the following to set default display options. default_d_opt = [1 display ANFIS information 1 display error measure 1 display step size 1] display final result

CDMA2000下行链路仿真模块的matlab实现代码(CDMA2000 downlink simulation module)

generate Fig. 1.27 of text

Mathematica

系统辨识用matlab产生M序列，移位寄存器实现(System identification using matlab generate M sequence, the shift registers)