代码搜索：PC
找到约 10,000 项符合「PC」的源代码
代码结果 10,000
www.eeworm.com/read/130533/6944779
s 44binit.s
; *******************************************************
; * NAME : 44BINIT.S *
; * Version : 10.April.2000 *
; * Description: *
; * C start up codes *
; * Con
www.eeworm.com/read/255130/6959453
s 44binit.s
; *******************************************************
; * NAME : 44BINIT.S *
; * Version : 10.JAn.2003 *
; * Description: *
; * C start up codes *
; * Configure memory, Initi
www.eeworm.com/read/269644/6960559
s 44binit.s
INCLUDE option.s
INCLUDE memcfg.s
;Memory Area
;GCS6 16M 16bit(2MB) DRAM/SDRAM(0xc000000-0xc7fffff)
;APP RAM=0xc000000~0xc1effff
;44BMON RAM=0xc7f0000-0xc7fffff
;STACK =0xc7ffa0
www.eeworm.com/read/227338/6962489
s 44binit.s
; *******************************************************
; * NAME : 44BINIT.S *
; * Version : 10.JAn.2003 *
; * Description: *
; * C start up codes *
; * Configure memory, Initi
www.eeworm.com/read/133594/6967950
s 44binit.s
; *******************************************************
; * NAME : 44BINIT.S *
; * Description: *
; * C start up codes *
; * Configure memory, Initialize ISR ,stacks
www.eeworm.com/read/467832/7001956
s 44binit.s
INCLUDE option.s
INCLUDE memcfg.s
;Memory Area
;GCS6 16M 16bit(2MB) DRAM/SDRAM(0xc000000-0xc7fffff)
;APP RAM=0xc000000~0xc1effff
;44BMON RAM=0xc7f0000-0xc7fffff
;STACK =0xc7ffa0
www.eeworm.com/read/465389/7054560
s 44binit.s
; *******************************************************
; * NAME : 44BINIT.S *
; * Version : 10.JAn.2003 *
; * Description: *
; * C start up codes *
; * Configure memory, Initi
www.eeworm.com/read/464711/7067795
s 44binit.s
; *******************************************************
; * NAME : 44BINIT.S *
; * Description: *
; * C start up codes *
; * Configure memory, Initialize ISR ,stacks
www.eeworm.com/read/162878/7067958
s 44binit.s
INCLUDE option.s
INCLUDE memcfg.s
;Memory Area
;GCS6 16M 16bit(2MB) DRAM/SDRAM(0xc000000-0xc7fffff)
;APP RAM=0xc000000~0xc1effff
;44BMON RAM=0xc7f0000-0xc7fffff
;STACK =0xc7ffa0
www.eeworm.com/read/449894/7079615
m pca1.m
% PCA1: Perform PCA using covariance.
% data --- MxN matrix of input data (M dimensions, N trials)
% signals --- MxN matrix of projected data
% PC --- each column is a PC
% V