代码搜索：M
找到约 10,000 项符合「M」的源代码
代码结果 10,000
www.eeworm.com/read/419623/10853212
m dd2m.m
function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar)
% DD2M
% This function performs a DD2-filtering; a state estimation for
% nonlinear systems that is based on seco
www.eeworm.com/read/419623/10853224
m dd1m.m
function [xhat_data,Smat]=dd1m(kalmfilex,kalmfiley,xbar,P0,q,r,...
u,y,timeidx,optpar)
% DD1M
% This function performs a DD1-filtering; a state estimation for nonlinear
% systems
www.eeworm.com/read/418157/10963404
m ._bp2m.m
www.eeworm.com/read/418157/10963548
m bp2m.m
% 2nd Order Band-Pass Sigma-Delta Modulator Model
% by S. Brigati, F. Francesconi, A. Fornasari, P. Malcovati
% The modulator structure is simulated using Simulink (BP2.mdl).
% 1. Plots the Power S
www.eeworm.com/read/271244/11001889
m nfam5m.m
function [nf, na, ex, E, N] = nfam5m(data,dt)
% The function NFAM5M calculates the smoothed modified Hilbert frequency and amplitude
% of data(n,k), where n specifies the length of time series,
%
www.eeworm.com/read/271244/11001946
m desa1m.m
function [W,A]=desa1m(x, dt)
% The function DESA1M calculates frequency and amplitude using Teager Energy Operator (DESA-1 algorithm)
% of the data x(n,m), where n is the number of points, and m
www.eeworm.com/read/270943/11019038
m m_shift1.m
function [Mode, Number_values] = M_shift1 (Values, Window_radius, Initial)
% assumes that Values contains cumulative information, i.e.
% the number of elements of the particular value in each Values
www.eeworm.com/read/270943/11019049
m m_shift2.m
function [Mode, Number_values] = M_shift2 (Values, Window_radius, Initial, Mv)
% assumes that Values contains cumulative information, i.e.
% the number of elements of the particular value in each Va
www.eeworm.com/read/270943/11019056
m m_shift3.m
function [Mode, Number_values] = M_shift3 (Values, Window_radius, Initial)
% assumes that Values contains cumulative information, i.e.
% the number of elements of the particular value in each Values
www.eeworm.com/read/470540/6913207
m cp3m.m
clear all;
[y1,fs,bits]=wavread('D:\语音降噪\voise\3.wav');
%y1=y1/max(abs(y1));%语音信号归一化
wavwrite(y1,8000,8,'D:\语音降噪\wav\4.wav');
figure(1);
plot(y1);
[noise,fs1,bits1]=wavread('D:\语音降噪\voise\3_no