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image_compression_final(jpeg)
JPEG图像压缩和解压MATLAB程序，使用了DCT2、线性量化编码、zigzag变换和游程编码理论(JPEG image compression and decompression MATLAB procedures, using DCT2, linear quantization coding, zigzag transform and run-length coding theory)
- 2009-03-24 10:11:15下载
- 积分：1
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bodieukhienhoanchinh
TCSC controller for everyone, i try my best, but maybe it s worst
- 2012-06-10 13:03:58下载
- 积分：1
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labelCombination.tar
Combining some labeled images is a quite common and useful task in image analysis. That s something we may want to do to prepare the markers for a watershed from markers for example, or to write the output of several segmentations in a single file. This article comes with three new filters to make the combination of labeled images easier with ITK. This contribution also try to provide an implementation better integrated with the ITK pipeline model than the itkMultipleUnlabeledImagesToLabeledImageFilter contribution.
- 2007-10-23 08:59:50下载
- 积分：1
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1231225251
matlab非平稳信号噪声消除 小波变换(matlab denoise use wavelets)
- 2009-03-18 17:08:58下载
- 积分：1
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uwb4
uwb信号中高斯脉冲的产生，频谱等等的程序(Gaussian uwb pulse signal generation, spectrum of procedures and so on)
- 2009-03-29 21:07:03下载
- 积分：1
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choleskyjie
cholesky算法（正定对称矩阵的LL 分解，完整程序）(cholesky)
- 2009-12-25 14:55:00下载
- 积分：1
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regu
Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems. Version 4.1.
By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes 12 test problems.
- 2009-06-22 16:55:48下载
- 积分：1
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last
celp speech coding decoding matlab codes
- 2011-12-08 17:54:19下载
- 积分：1
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DCSK （1）
matlab实现混沌扩频DCSK的仿真，其中包括调制解调、噪声信道模拟，以及误码率分析。(Chaotic spread spectrum communication: DCSK)
- 2020-11-18 22:29:38下载
- 积分：1
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LMS
最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)
- 2019-02-21 22:43:06下载
- 积分：1
