代码搜索：sequence
找到约 10,000 项符合「sequence」的源代码
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www.eeworm.com/read/140956/13050932
java sprite.java
// generated by de.enough.doc2java.Doc2Java (www.enough.de) on Sat Dec 06 15:06:44 CET 2003
//only include this file for midp1-devices:
//#condition polish.midp1 || (polish.usePolishGameApi == true) |
www.eeworm.com/read/327948/13054094
m lseq.m
%constructing linear sequence, feedback polynomial and initial vector given;
function d=lseq(f,din); %primitive polynomial and initial state are input variables;
n=length(f)-1; N=2^n-1; %length of s
www.eeworm.com/read/140560/13074565
c fet140_adc12_09.c
//******************************************************************************
// MSP-FET430P140 Demo - ADC12, Sequence of Conversions (non-repeated)
//
// Description: This example shows how t
www.eeworm.com/read/140559/13075102
asm fet140_adc12_06.asm
;******************************************************************************
; MSP-FET430P140 Demo - ADC12, Repeated Sequence of Conversions
;
; Description: This program will show how to pe
www.eeworm.com/read/327242/13091982
4 readme.pvm_3.4
$Name: fa35_03_06 $ - $Id: readme.pvm_3.4,v 1.5 2007/06/29 20:23:58 wrp Exp $
20-August-2001
The pvm/mpi complib programs have been substantially updated with
release 3.4. See readme.v34t0 for m
www.eeworm.com/read/327242/13092058
1 fastf3.1
.TH FASTF/TFASTFv3 1 local
.SH NAME
fastf3, fastf3_t \- compare a mixed peptide sequence against a protein
database using a modified fasta algorithm.
tfastf3, tfastf3_t \- compare a mixed pepide sequ
www.eeworm.com/read/327242/13092150
v30 readme.v30
Because of interdependencies in the Makefile, sometimes you must
type "make" a second time to get everything built.
June 12, 1996 - fasta30t1
Fixed bug in reading blast-format DNA sequence files.
www.eeworm.com/read/327242/13092154
1 fasts3.1
.TH FASTS/TFASTSv3 1 local
.SH NAME
fasts3, fasts3_t \- compare several short peptide sequences against a protein
database using a modified fasta algorithm.
tfasts3, tfasts3_t \- compare short pepide
www.eeworm.com/read/140159/13104701
m pngen.m
function [y, Z] = PNGen(G, Zin, N);
%
% PN_GEN This function generates the Pseudo Noise sequnece of length (N)
% according to Generation Polynom and input state.
%
% Inputs: G - Generat
www.eeworm.com/read/139775/13134957
m eigen_filtering.m
function [s,w,g] = eigen_filtering(y,p,mu);
% Given a 1D noisy sequence y, the order p of
% the ARMA(p,p) model and the regularization parameter mu
% this function computes the clean signal s, an es