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[matlab例程pinghuachuli

说明:对原始数据的图象进行平滑化处理,内含各种处理方法的源程序和文字说明-The image of the original data smoothing process, containing source code and text descr iption of various treatment methods
<李奕辰> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程piecewisefun

说明:分段函数求解和绘图,可运行,内含详细文字说明 -Piecewise solving and drawing, you can run, containing detailed text descr iption
<李奕辰> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[图形图像处理(光照,映射..)Target-Recognition-Based-on-match

说明:在mtlab平台上面运行的基于匹配的目标识别代码-Target Recognition Based on matlab platform above code running match
<小杨> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程hw3

说明:Wigner distribution function
<Chen> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程hw1

说明:the rectangular short time Fourier transform
<Chen> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程hw4

说明:the Hilbert-Huang transform
<Chen> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程IASS

说明:微软扩频水印嵌入技术的matlab实现,以及求得处理后的信噪比,错误率等-Microsoft matlab spread spectrum watermarking technology implementation, and post-processing of the signal to noise ratio is obtained, error rate, etc.
<sdy> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程SS_DCT

说明:传统扩频水印嵌入及检测技术的实现,并求得处理后的信噪比和错误率-Conventional spread spectrum watermark embedding and detection technology to achieve and obtain SNR and error rate after treatment
<sdy> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[单片机(51,AVR,MSP430等)Nelder

说明:We can now compare the convergence speeds and iteration numbers of the methods. Since Lagrange Multiplier Method and Sequential Linear Programming Method include manual calculations elapsed time comparison is not applicable for them. There is also
<Volkan> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[单片机(51,AVR,MSP430等)trans_f

说明:By comparing elapsed times one can say that Hooke and Jeeves methods converge faster than other methods and the slowest one seems to be Nelder and Mead Simplex Method. In this part of the assignment we are going to reach the solution by using Nelde
<Volkan> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[其他小程序ResourceStatusUpdate

说明:X2接口的资源更新,用于基站之间的资源信息交换-resource update
<sheyu> 在 2025-07-19 上传 | 大小:1kb | 下载:0

[matlab例程hw2f

说明: For numerical calculations of partial differentiations in parts (d), (e) and (f), use Newton’s central difference method with disturbance parameter  =0.01xi 2. For parts (d), (e) and (f), initialize the algorithms with the following parameter
<Volkan> 在 2025-07-19 上传 | 大小:1kb | 下载:0
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