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conv_dsp_1_exp
说明： 有关dsp的,有好多子程序,还是不错的,欢迎使用(the dsp, there were a lot subroutine, or good, welcomed the use of)
- 2006-04-28 10:43:31下载
- 积分：1
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max-ga
通过调用matlab遗传算法工具计算函数的最大值(Using genetic algorithm function of the maximum)
- 2013-08-12 00:44:37下载
- 积分：1
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work
简单的用PCA实现人脸识别的matlab程序(Face recognition using PCA to achieve)
- 2010-10-31 21:17:18下载
- 积分：1
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communication-system-design
基带通信系统设计，用MATLAB软件编程实现(communication system design)
- 2015-04-10 11:42:37下载
- 积分：1
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二维矩形条带装箱问题的底部左齐择优匹配算法
针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)
- 2018-09-22 18:29:40下载
- 积分：1
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newsvm
Steve Gunn 开发的svm工具箱源代码，用于分类和回归(Developed by Steve Gunn，used in classification and
regression)
- 2012-03-23 09:49:08下载
- 积分：1
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digital-signal-processing
一本用于matlab系统仿真的电子书籍，对初学者有很大的帮助。(A used in matlab simulation of electronic books, has a great help for beginners.
)
- 2013-11-18 14:38:27下载
- 积分：1
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Features1
Its used for feature generation in matlab
- 2015-05-29 12:57:37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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DOA_MATLAB
阵列信号处理 各种经典算法 MUSIC ESPRIT等
值得珍藏(Array signal processing algorithms blessed with a variety of classic)
- 2011-05-08 15:17:06下载
- 积分：1
