-
matlab
matlab Applet Exercises
- 2010-11-04 12:15:26下载
- 积分：1
-
wheel-rail-contact-creep-force
用于轨道车辆系统动力学中轮轨接触蠕滑力的计算。(For rail vehicle system dynamics in the wheel-rail contact creep force calculations.)
- 2021-02-17 12:09:46下载
- 积分：1
-
SpeechDenoising
MATLAB实现语音去噪处理，测试已经通过了(Speech Denoising MATLAB realize treatment, testing has been adopted)
- 2009-02-17 19:37:49下载
- 积分：1
-
CANNY_EDGE
说明： CANNY边缘检测,matlab,很容易看懂(Canny edge detection, matlab, very easy to understand)
- 2008-11-30 21:12:21下载
- 积分：1
-
Integral-calculation
用matlab编程计算积分，包括梯形算法，龙贝格算法，高斯算法，通过具体案例得到最终结果(Calculation of integrals with MATLAB programming, including trapezoidal algorithm, Romberg algorithm, Gauss algorithm, the final results are obtained through the concrete case)
- 2014-09-20 20:33:53下载
- 积分：1
-
SPWMinverter
SPWM控制的逆变器simulink范例。通过更改开关的占空比来调节输出电压(Simulink example SPWM inverter control. By changing the switch duty cycle to regulate the output voltage)
- 2014-02-19 18:00:53下载
- 积分：1
-
fusion_for-CS
着压缩感知技术的发展,基于压缩感知的图像融合技术研究受到越来越多的重视。针对图像傅里叶变换系数特点,提出了一种双星采样模式下基于高低频重要性度量的压缩传感域图像融合算法。该算法首先通过双星采样模式获得测量值,然后计算高低频区域对应的重要性度量作为融合算子,并对测量进行加权融合,最后通过求解最小全变分优化问题重构融合图像。主客观实验结果表明,该算法优于其他基于傅里叶的方案。(With the development of compressive sensing, the compressive domain image fusion technology attracts more and more attention. In considering the DFT coefficient characteristics,
a novel image fusion algorithm employing double-star sampling and salience measure of high-lowfrequency within compression domain is proposed.)
- 2021-04-02 22:29:07下载
- 积分：1
-
小波神经网络的时间序列预测-短时交通流量预测
本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)
- 2021-03-17 16:09:21下载
- 积分：1
-
zhaochun
纯函数的选取包含保罗估计函数、纯调频信号、包络估计值等(Selection of pure functions include Paul estimation function, pure frequency modulation signal and envelope estimate, etc)
- 2013-12-02 09:03:11下载
- 积分：1
-
linear-quantization-in-pcm
linear quantization in pulse code modulation
- 2013-12-04 19:53:03下载
- 积分：1
