代码搜索：PERFORMANCE
找到约 6,114 项符合「PERFORMANCE」的源代码
代码结果 6,114
www.eeworm.com/read/181573/9245628
performance
====================
libnids-1.17
====================
Libnids uses efficient data structures (hash tables), s
www.eeworm.com/read/152843/5665921
performance
Speed
=====
CyBlaFB is much faster than tridentfb and vesafb. Compare the performance data
for mode 1280x1024-[8,16,32]@61 Hz.
Test 1: Cat a file with 2000 lines of 0 characters.
Test 2: Cat a file
www.eeworm.com/read/488817/1227238
performance
Speed
=====
CyBlaFB is much faster than tridentfb and vesafb. Compare the performance data
for mode 1280x1024-[8,16,32]@61 Hz.
Test 1: Cat a file with 2000 lines of 0 characters.
Test 2: Cat a file
www.eeworm.com/read/337546/3338746
performance
Speed
=====
CyBlaFB is much faster than tridentfb and vesafb. Compare the performance data
for mode 1280x1024-[8,16,32]@61 Hz.
Test 1: Cat a file with 2000 lines of 0 characters.
Test 2: Cat a file
www.eeworm.com/read/324920/3497489
performance
Speed
=====
CyBlaFB is much faster than tridentfb and vesafb. Compare the performance data
for mode 1280x1024-[8,16,32]@61 Hz.
Test 1: Cat a file with 2000 lines of 0 characters.
Test 2: Cat a file
www.eeworm.com/read/316872/3604706
performance
Speed
=====
CyBlaFB is much faster than tridentfb and vesafb. Compare the performance data
for mode 1280x1024-[8,16,32]@61 Hz.
Test 1: Cat a file with 2000 lines of 0 characters.
Test 2: Cat a file
www.eeworm.com/read/393286/2485289
performance
Speed
=====
CyBlaFB is much faster than tridentfb and vesafb. Compare the performance data
for mode 1280x1024-[8,16,32]@61 Hz.
Test 1: Cat a file with 2000 lines of 0 characters.
Test 2: Cat a file
www.eeworm.com/read/388876/8568549
cc performance.cc
/*
Fast Artificial Neural Network Library (fann)
Copyright (C) 2003 Steffen Nissen (lukesky@diku.dk)
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU
www.eeworm.com/read/377014/9297269
png performance.png
www.eeworm.com/read/179989/9325420
m performance.m
BER_bpsk = [2.8229e-001 1.5387e-001 5.9808e-002 2.9992e-002 1.0213e-002 2.9348e-003 1.2282e-003 3.3449e-004];
snr = 0:5:35;
semilogy(snr,BER_bpsk,'r-x');
grid on;
hold on;
BER_MMSE = [1.26