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/256403/12001428
m ex021100.m
% Example 2.11
%
% x(n) = u(n)-u(n-10)
% h(n) = (0.9)^n * u(n)
% diff eqn: y(n) - 0.9y(n-1) = x(n)
%
b = [1]; a = [1,-0.9];
n = -5:50; x = stepseq(0,-5,50) - stepseq(10,-5,50);
y = filter(b,a,
www.eeworm.com/read/255335/12087214
h dummy_cam.h
/******************* Camera Interface ***********************/
/*@ spcaxxx_init
send the initialization sequence to the webcam
@*/
static int spcaxxx_init(struct usb_spca50x *spca50x);
/*@ spca
www.eeworm.com/read/152755/12087516
m corr_seq.m
function out = corr_seq(rho,nsize,power,meanval,seed)
% CORR_SEQ .... Generates a random data sequence with correlated samples.
%
% [Y] = CORR_SEQ(RHO,N,POWER,MEAN) generates N samples from the s
www.eeworm.com/read/152755/12087521
m envelope.m
function out = envelope(in,fo)
% ENVELOPE .... Envelope detector.
%
% Y = ENVELOPE(X,fo) rectifies the input sequence X using a diode and
% then low-pass filters the rectified sequence. The ba
www.eeworm.com/read/341146/12105065
m hurst_estimate.m
function H = hurst_estimate(sequence,method,isplot,opt)
%
% 'hurst_estimate' estimate the hurst parameter of a given sequence with
% an appointed method. The algorithms of the methods can be fo
www.eeworm.com/read/341146/12105074
m boxper.m
function H = boxper(sequence,isplot,boxnumber)
%
% 'boxper' estimate the hurst parameter of a given sequence with modified
% periodogram method.
%
% Inputs:
% sequence: the input se
www.eeworm.com/read/254742/12121057
m program_13_2.m
% Program 13_2
% Illustration of Down-Sampling by an Integer Factor
%
clf;
N = input('Output length = ');
M = input('Down-sampling Factor = ');
fo = input('Input signal frequency = ');
% Genera
www.eeworm.com/read/254742/12121068
m program_13_1.m
% Program 13_1
% Illustration of Up-Sampling by an Integer Factor
%
clf;
N = input('Input length = ');
L = input('Up-sampling Factor = ');
fo = input('Input signal frequency = ');
% Generate t
www.eeworm.com/read/254742/12121080
m program_2_8.m
% Program 2_8
% Computation of Autocorrelation of a
% Noise Corrupted Sinusoidal Sequence
%
N = 96;
n = 1:N;
x = cos(pi*0.25*n); % Generate the sinusoidal sequence
d = rand(1,N) - 0.5; % Genera
www.eeworm.com/read/254742/12121082
m program_2_7.m
% Program 2_7
% Computation of Cross-correlation Sequence
%
x = input('Type in the reference sequence = ');
y = input('Type in the second sequence = ');
% Compute the correlation sequence
n1 = l