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dsss
直接序列扩频用matlab simulink实现直接m序列扩频框图(Direct Sequence Spread Spectrum with matlab simulink realization of direct sequence spread spectrum m diagram)
- 2010-02-02 13:44:11下载
- 积分：1
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matlab_intro
boundary scan tutorial matlab
- 2010-12-25 13:55:15下载
- 积分：1
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PCA
PCA in two demension in matlab , Principal component analysis
- 2011-12-28 19:13:49下载
- 积分：1
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bandp
带通滤波器，在信号处理时滤除直流分量和高频噪声，参数设置见程序说明。(The bandpass filter is used to filter the DC component and the high frequency noise in the signal processing. The parameter setting is explained by the program.)
- 2018-03-24 08:40:10下载
- 积分：1
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digital_signal_simulation_matlab
数字信号处理的MATLAB仿真加实验指导(Digital signal processing increases the MATLAB simulation experiment guide)
- 2009-05-23 14:55:54下载
- 积分：1
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Cattle-Rafah-program-description
牛拉法解潮流问题，程序运行良好，可以实现良好的解决潮流问题(Ox-drawn method for solving the flow problem, the program is running, you can achieve a good solution to the trend.)
- 2012-04-01 10:58:02下载
- 积分：1
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jacob
本代码是描述串联机器人的雅克比矩阵的推导和灵巧度的分析(this code is to describe the Jacob matrix of the serial robot and its dexterity)
- 2012-05-28 16:33:09下载
- 积分：1
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fir_l.m
FIR Low pass filter simulation using matlab
- 2011-08-20 01:24:14下载
- 积分：1
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MotionPDetection
运动目标检测与跟踪的matlab代码，包含实验数据，代码解释。有助于行人检测，智能交通，视频监控等领域的研究。(Moving target detection and tracking matlab code, contains the experimental data, code interpreter. To help pedestrian detection, intelligent transportation, video surveillance, and other areas of research.)
- 2012-09-18 08:34:41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
