代码搜索：sequence
找到约 10,000 项符合「sequence」的源代码
代码结果 10,000
www.eeworm.com/read/359245/10159491
m exa1_14.m
% exa1-14_unit_step_d.m for example 1-14
% unit step sequence
clear all;
N=32;
x=ones(1,N);
xn=0:N-1;
stem(xn,x)
axis([-1 32 0 1.1])
www.eeworm.com/read/359245/10159549
m exa1_12.m
% exa1-12_shift_unit_pulse_d.m for example 1-12
% shifted unit pulse sequence
clear all;
N=64;
k=20;
x=zeros(1,N);
x(k)=1;
xn=0:N-1;
stem(xn,x)
axis([-1 65 0 1.1])
www.eeworm.com/read/359245/10159561
m exa1_17.m
% exa1-17_complex_sine_d.m for example 1-17
% complex sine sequence
clear all;
N=32;
A=3;
w=314;
xn=0:N-1;
x=A*exp(j*w*xn);
stem(xn,x)
axis([-1 32 -3.2 3.2])
www.eeworm.com/read/357874/10199120
m hmm_generate.m
function out = HMM_generate(a,b,initial,seq_len)
% Generate a Markov sequence
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% initial - Initial state
%
www.eeworm.com/read/357359/10211561
c getbits.c
/* getbits.c, bit level routines */
/*
* All modifications (mpeg2decode -> mpeg2play) are
* Copyright (C) 1996, Stefan Eckart. All Rights Reserved.
*/
/
www.eeworm.com/read/356556/10224814
m scrambler.m
function output = scrambler(len,init_state)
% data scrambler
% len: length of sequence generated by the scrambler
% init_state: row vector of initial state of scrambler
% output: row vector of seq
www.eeworm.com/read/355959/10240853
s tinybld_ds3013_7mips.s
;********************************************************************
; Tiny Bootloader dsPIC series Size=100words
; claudiu.chiculita@ugal.ro
; http://www.etc.ugal.ro/cchiculita/software/picboot
www.eeworm.com/read/355337/10275238
m tf_smooth.m
%TF_SMOOTH Two filter based Smoother
%
% Syntax:
% [M,P] = TF_SMOOTH(M,P,Y,A,Q,H,R,[use_inf])
%
% In:
% M - NxK matrix of K mean estimates from Kalman filter
% P - NxNxK matrix of K state covar
www.eeworm.com/read/280929/10279468
m hsolpsav.m
function [y] = hsolpsav(x,h,N)
% High-speed Overlap-Save method of block convolutions using FFT
% --------------------------------------------------------------
% [y] = hsolpsav(x,h,N)
% y = outp
www.eeworm.com/read/355237/10284381
m tf_smooth.m
%TF_SMOOTH Two filter based Smoother
%
% Syntax:
% [M,P] = TF_SMOOTH(M,P,Y,A,Q,H,R,[use_inf])
%
% In:
% M - NxK matrix of K mean estimates from Kalman filter
% P - NxNxK matrix of K state covar