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msk
通信系统中，连续相位调制（msk）与解调的MATLAB实现。(Communication systems, continuous-phase modulation (msk) and demodulation of MATLAB to achieve.)
- 2008-12-14 16:18:22下载
- 积分：1
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psn_matlab
matlab code for 2d poissone equ solver
- 2010-05-11 15:57:52下载
- 积分：1
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P_out_width
光电导混频器中，交叉电极的光电导宽度对THz功率的影响(Photoconductive mixer, the width of cross-electrode photoconductive THz power on the impact of)
- 2011-09-18 15:04:36下载
- 积分：1
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data
数字信号处理的Matlab实现的随书光盘，有时谱分析、小波变化、地震观测系统仿真与地面运动恢复等几个数字信号前沿课题，有实用价值(Digital signal processing with Matlab realized the book CD-ROM, and sometimes spectral analysis, wavelet changes in observing system simulation of earthquake ground motion and the restoration of several cutting-edge digital signal subjects have practical value)
- 2007-11-23 09:33:15下载
- 积分：1
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Who-TinhChuong1
thesis for grad university
- 2011-05-19 04:40:08下载
- 积分：1
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SPForFA
Forward kinematics for Stewart Platform with fixed actuators
- 2011-06-01 07:10:54下载
- 积分：1
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Ch04
机器学习实战 第四章实例代码 美国
Machine Learning in Action 4 Charpter instance(Machine Learning in Action 4 Charpter instance)
- 2015-02-11 20:46:10下载
- 积分：1
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matlab-prog
matlab 图像分析 包括（边缘检测 ；微分算子 ；Log算子 ；Canny 算子 ；四叉树分解 ；四叉树分解 ；四叉树及相应的MATLAB 函数 (the Matlab Image Analysis (edge detection differential operator Log operator Canny operator quadtree decomposition quadtree decomposition quadtree corresponding MATLAB function)
- 2012-10-27 23:03:21下载
- 积分：1
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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
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papr
One of the significant drawback of OFDM system is the possibility to experience large peaks since the signal shows a random
- 2011-08-08 23:06:17下载
- 积分：1
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