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/357874/10199109
m hmm_evaluation.m
function P = HMM_evaluation(a, b, V)
% Find the probability of a finite state in a Markov chain
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% V -
www.eeworm.com/read/160929/10469730
m p1_1.m
% Program P1_1
% Generation of a Unit Sample Sequence
clf;
% Generate a vector from -10 to 20
n = -10:20;
% Generate the unit sample sequence
u = [zeros(1,10) 1 zeros(1,20)];
% Plot the unit sample s
www.eeworm.com/read/160929/10470085
m p1_1.m
% Program P1_1
% Generation of a Unit Sample Sequence
clf;
% Generate a vector from -10 to 20
n = -10:20;
% Generate the unit sample sequence
u = [zeros(1,10) 1 zeros(1,20)];
% Plot the unit s
www.eeworm.com/read/160929/10470511
m p1_1.m
% Program P1_1
% Generation of a Unit Sample Sequence
clf;
% Generate a vector from -10 to 20
n = -10:20;
% Generate the unit sample sequence
u = [zeros(1,10) 1 zeros(1,20)];
% Plot the unit sample s
www.eeworm.com/read/349842/10796795
m hmm_evaluation.m
function P = HMM_evaluation(a, b, V)
% Find the probability of a finite state in a Markov chain
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% V -
www.eeworm.com/read/274320/10876362
m mseq.m
function seq = mseq(N)
% usage: seq = mseq(N)
% where: seq = m-sequence of length 2^N -1
% N = order of the m-sequence (max of 14)
% Generates a (+1,-1) maximal-length PN sequence of orde
www.eeworm.com/read/461382/7228248
m pngenerator.m
function sequence = PnGenerator( sequence_length, g )
% PnGenerator creates a PN sequence using polynomial g
%
% The calling syntax is:
% sequence = PnGenerator( sequence_length, g )
%
%
www.eeworm.com/read/445478/7595191
m program2_8.m
%Program 2_8
%Computation of Autocorrelation of a
%Noise Corrupted Sinusoidal Sequence
clc;
close all;
clear all;
N=96;
n=1:N;
x=cos(pi*0.25*n);% Generate the sinusoidal sequence.
d=rand(1,N)
www.eeworm.com/read/445478/7595197
asv program2_8.asv
%Program 2_8
%Computation of Autocorrelation of a
%Noise Corrupted Sinusoidal Sequence
clc;
close all;
clear all;
N=96;
n=1:N;
x=cos(pi*0.25*n);% Generate the sinusoidal sequence.
d=rand(1,N)
www.eeworm.com/read/440289/7691010
m p214.m
clear; clc;
%P2.14b
nx = 0:3; % Index for sequence x(n)
x = 1:4; % Sequence x(n) = {1,2,3,4}
nh = 0:2; % Index for impulse h(n)
h = 3:-1:1; % Sequence h(n) = {3,2,1}
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