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ww
说明： 算法计算n=1到N的Fourier系数偶次谐波抽样点上的直流分量(err)
- 2008-01-07 17:19:43下载
- 积分：1
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dddd
基于免疫机制的动态多目标优化免疫算法[PDF](Dynam icMultiobjectiveOptim ization Immune Algorith Based on ImmuneM echanisms
)
- 2010-01-09 13:11:09下载
- 积分：1
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DeltaE
还原性，能够还原色彩的真实程度和评价我们的的光源(reflection)
- 2010-12-26 14:36:40下载
- 积分：1
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FFT
流水线模数转换电路输出信号做fft后求SNR,SNDR的matlab程序(matlab fft program for SNR and SNDR of pipelined analog to digital converter（ADC）)
- 2010-06-07 20:15:36下载
- 积分：1
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hundun_matlab
用matlab*.m编程实现基本的混沌算法，可以在此基础上扩展应用，实现更加优化的混沌搜索算法(Programming with matlab*. m basic chaos algorithm, can extend this basis the application of chaos to achieve a more optimal search algorithm)
- 2010-05-08 23:23:07下载
- 积分：1
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test_rob
robust control matlab program
- 2011-10-15 08:51:04下载
- 积分：1
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fangzhen-chenggxu
雷达信号处理程序，是MIMO雷达的相关程序，例程比较多，有利于学习(Radar signal handler)
- 2015-06-08 21:07:18下载
- 积分：1
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Latex-Book
Latex complete text book for researchers
- 2014-11-28 16:12:44下载
- 积分：1
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ACE-Docs-0306
ACE自适配通信环境（ADAPTIVE Communication Environment）是可自由使用、开放源码的面向对象（OO）框架（framework），它实现了许多用于并发通信软件的核心模式。ACE提供了一组丰富的可重用C++包装外观（wrapper facade）和框架组件，可跨多种平台完成通用的通信软件任务，其中包括：事件多路分离和事件处理器分派、信号处理、服务初始化、进程间通信、共享内存管理、消息路由、分布式服务动态（重）配置、并发执行和同步，等等。(ACE Adaptive Communication Environment (ADAPTIVE Communication Environment) is free to use, open source object-oriented (OO) framework (framework), it implements a number of concurrent communication software for the core model. ACE provides a rich set of reusable C++ Packaging appearance (wrapper facade) and the framework components, can be a variety of cross-platform communications software to complete common tasks, including: multi-way separation of incident and event processor assignment, signal handling, service initialization, interprocess communications, shared memory management, message routing, distributed service dynamically (re) configuration, concurrent execution and synchronization, and so on.)
- 2007-12-11 19:13:50下载
- 积分：1
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microcontroller_neural_network
This is a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32.
Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons
respectively and 1 layer output with 1 neuron.This program explains the step how to compute the ANN in off-line mode.Means
the weights and biases are already exist (microcontroller is not doing the learning steps). These parameters are produced using MATLAB. Therefore, we have already made the appropriate architecture using MATLAB. The tansig function is use in both of hidden layer.
Finally, the neural output will be displayed on LCD port C.
- 2011-01-24 18:49:12下载
- 积分：1
