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field-2
Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信号。(Field 2 is the Technical University of Denmark (Technical University of Demark) is an ultrasound simulation software JA Jensen (Jorgen Arendt Jenson) developed the software based on the linear sound field theory, the basic concept is the spatial impulse response, first by Tupholme and Stepannishen and other proposed space impulse response is a home-related functions and what its convolution with the excitation signal transducer, you can get any of the transmitted wave to the focal point of the sound field. Wave transducer receives a signal corresponding with the inverse process of transmission, the reflector point in space as a transmission source, and the receiving transducer spatial convolution of the impulse response, thereby obtaining the echo signal.)
- 2014-11-12 09:16:31下载
- 积分：1
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ridge_regression_matlab
岭回归拟合数据，其中hw3_1_ridge.m使用的是岭回归的方法，hw3_1_MLE.m使用的是极大似然的方法。(fitting data with ridge regression using matlab)
- 2013-12-13 22:54:10下载
- 积分：1
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802.11a-OFDM-MATLAB
IEEE802.11a系统级仿真完整程序，包含发送端，接收端以及信道建模等(IEEE802.11a complete system-level simulation, including the sending end, the receiver, channel modeling, can be used to run a bit error rate, frame error rate, etc.)
- 2021-04-08 15:19:00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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Chapter_12
非线性通信系统的仿真，有saleh模型，三阶无记忆非线性器等(Nonlinear simulation of communication systems, there Saleh model, third-order memoryless nonlinear, etc.)
- 2007-11-27 22:21:52下载
- 积分：1
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Periodic_steady-state_response
利用周期稳态响应的谐波分析法求解电路的周期稳态响应(The use of periodic steady-state response of harmonic analysis method for solving the circuit the cycle of steady-state response)
- 2010-01-13 18:02:04下载
- 积分：1
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attachments-(1)---Copy
matlab simulation program for ASK
- 2014-01-06 16:25:02下载
- 积分：1
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chp10
试验 上机 教程
主要对教师 使用(Test on the machine for teachers to use the main course)
- 2009-05-05 20:35:42下载
- 积分：1
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yantu
实现在通信系统中眼图的算法，方便观察眼图，以判断其码间串扰(Eye pattern)
- 2011-06-06 12:42:00下载
- 积分：1
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13898394fiber-laser
光纤激光器的模拟参考，具有参考价值，特别适合与激光器的研究者。(Fiber laser simulation of reference, a reference value, especially for researchers with the laser.)
- 2009-11-18 17:01:59下载
- 积分：1
