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yunchou
matlab中GUI界面来实现运筹学中常用的几种最优算法(matlab in the GUI interface to the realization of several commonly used in operations research optimal algorithm)
- 2009-04-12 10:19:29下载
- 积分：1
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automatic-image-thresholding
Automatic Gray-Scale Image Thresholding methods: Tsai, Prewitt, Rosenfeld, Otsu, Kittler, Ridler.
- 2011-01-24 08:38:15下载
- 积分：1
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Design_Tschebyscheff_Array
Dolph-Tschebyscheff Array的一段程序，日本人编的，希望对大家有帮助(Dolph- Tschebyscheff Array section of the procedure, Japanese series, we hope to help)
- 2007-01-15 21:37:04下载
- 积分：1
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FIR_LP
FIR滤波器设计文件，编写为function，便于修改调用，欢迎下载使用(FIR filter design document, prepared for the function, called facilitate change, welcomed downloading)
- 2007-06-09 12:40:00下载
- 积分：1
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BOOST-CONVERTER-USING-ARDUINO
BOOST CONVERTER USING ARDUINO
- 2015-03-25 13:34:03下载
- 积分：1
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PSO
根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)
- 2020-12-04 15:29:25下载
- 积分：1
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ex8-2
在matlab的小波分析中标,设计一个包含若干不连续点的一维信号，利用小波变换的模极大提取它的阶梯型边界点。(Matlab wavelet analysis in the successful design that contains a number of discrete points of one-dimensional signals, using wavelet transform modulus maxima extraction of its ladder-type boundary points.)
- 2007-08-04 17:17:08下载
- 积分：1
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ier_94
汉森的金融matlab程序（广义t分布）(Hansen s matlab code for finance )
- 2010-09-20 10:31:38下载
- 积分：1
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butworth
说明： 巴特沃斯低通滤波器，完成模拟低通参数给定条件下的低通滤波器设计观念功能，适合初学者使用(low filter)
- 2010-04-13 09:52:21下载
- 积分：1
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compress_sensing_without_frame
Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.
- 2014-01-27 20:55:41下载
- 积分：1
