-
FSK-MATLAB
说明： 基于matlab的fsk调制的代码，可以实现仿真(it s fsk)
- 2011-04-08 19:27:18下载
- 积分：1
-
mosek
说明： mosek算法教程+实例，内含工具箱和pdf介绍(MOSEK algorithm tutorial + examples, including toolbox and PDF introduction)
- 2020-12-21 14:59:09下载
- 积分：1
-
approximate-genetic-algoritm-matlab
Approximate Genetic Algorithm
- 2010-06-28 06:04:30下载
- 积分：1
-
HopField-OCR
Source code for Hopfield character Recognition
- 2011-02-13 04:20:13下载
- 积分：1
-
my-code
Particle Swarm Optimazation code
- 2013-03-02 05:31:21下载
- 积分：1
-
back-propagation
simple but incomplete backpropagation
- 2011-12-02 07:16:59下载
- 积分：1
-
solve_equation_iteration_Aitken
迭代法，埃特金加速收敛法，解非线性方程，可以调节精度,可以达到较高精度(Iterative method, Aitken accelerating convergence method for solving nonlinear equations, the accuracy can be adjusted, you can achieve high accuracy)
- 2016-09-13 08:56:04下载
- 积分：1
-
Autogram
说明： Autogram能够对频带进行合适的选取，用于轴承等故障诊断(Autogram is a new approach to find the proper frequency band of demodulation for bearing faults diagnosis.
Moshrefzadeh A, Fasana A. The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis. Mechanical Systems and Signal Processing.)
- 2020-11-09 10:29:47下载
- 积分：1
-
WDM-filter-transceivers
我们设计和实验证明
布拉格光栅波分复用器
三波长的平面光波电路复用
公交车站台。1310和1550 nm的光，被设计成
由一个半周期通过定向耦合器分离后
和一个完整的周期耦合作用与0.07和0.19分贝的损失，
分别。1492 nm的光反射回来的布拉格
光栅对定向耦合器及其制作少损失
超过2分贝。我们也介绍和讨论新概念
集成光学三工收发器，使用此过滤器。
(We designed and experimentally demonstrated a
Bragg grating-assisted wavelength-division-multiplexing filter for
the three-wavelength multiplexing on a planar-lightwave-circuit
platform. The 1310- and 1550-nm lights were designed to be
separated after passing the directional coupler by a half-cycle
and a full-cycle coupling actions with losses of 0.07 and 0.19 dB,
respectively. The 1492-nm light was reflected back by a Bragg
grating fabricated on the directional coupler and its loss was less
than 2.0 dB. We also introduced and discussed the new concept of
an integrated optical triplexer transceiver using this filter.)
- 2013-09-27 10:40:02下载
- 积分：1
-
gradient_compute
ML gradient computation
g = grad_ml(X,x,r)
g = gradient vector
X = matrix for receiver positions
x = 2D position estimate
r = TOA measurement vector
sigma2 = noise variance vector
- 2015-01-13 00:22:09下载
- 积分：1
