-
Bpnetworkshili
基于人工神经网络的信号预测在Matlab中的研究与实现,有具体的例题,同时包含详细的m文件代码(Signals based on artificial neural network prediction in Matlab, research and implementation, with specific examples, while m-file code contains detailed)
- 2010-10-13 12:32:02下载
- 积分:1
-
practical-image-classification-code-only.tar
practical image classification
- 2014-10-06 18:40:40下载
- 积分:1
-
OnlineSVR_Matlab_7.0_2006_CodeManual
一个适合进行在线支持向量机回归辨识的Matlab源程序。(Matlab programs for on-line regression identification using Support Vector Machine)
- 2020-06-28 18:00:01下载
- 积分:1
-
hundun
混沌现象出现于非线性系统中。Matlab模拟了复摆运动行为及混沌现象(Chaotic phenomena in nonlinear systems. Matlab simulation of the compound pendulum movement behavior and chaos phenomena)
- 2012-04-16 12:46:02下载
- 积分:1
-
Realize-the-image-compression
基于小波变换的图像压缩在matlab上实现对SAR图像的压缩(Based on wavelet transform image compression on matlab implementation of SAR image compression)
- 2016-06-13 21:11:31下载
- 积分:1
-
AjustePSSvel
Adjust a speed PSS for synchronous generator control.
- 2015-03-10 21:53:13下载
- 积分:1
-
BCFCM version
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT OLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, OR ROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE pOSSIBILITY OF SUCH DAMAGE.
- 2010-03-04 17:10:19下载
- 积分:1
-
fit_ML_log_normal
fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!.
Given the samples of a laplace distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = 1/(2*b)*exp(-abs(x-u)/b)
with parameters: u,b
format: result = fit_ML_laplace( x,hAx )
input: x - vector, samples with laplace distribution to be parameterized
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
u,b - fitted parameters
CRB_b - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type - ML
- 2011-02-09 19:07:30下载
- 积分:1
-
AxialBarTruss
axial Bar truss分析 受力和变形等(axial Bar truss)
- 2011-05-01 22:52:54下载
- 积分:1
-
mission
基于FPGA和Matlab的均衡滤波器设计与实现
基于MATLAB的数字均衡器的设计
采用FPGA实现基于LMS算法的自适应均衡器的设计研究
PWM控制的FPGA实现
等众多与FPGA、MATLAB相关的滤波器和均衡器设计
( FPGA and MATLAB design of filter&EQ)
- 2016-04-03 12:37:42下载
- 积分:1