Search - matlab inverse

[matlab] EZW源码（Matlab实现）

Description:

详细编写了EZW(嵌入式零树小波图像压缩技术)，它主要由小波变换、量化和熵编码（Huffman编码）三个模块。

程序各个模块功能分明，依次为，Wavelet Decomposition，EZW Encoding（包含Huffman编码），EZW Decoding（包含Huffman解码），Inverse Wavelet Decomposition，Performance。

Platform: | Size: 132281 | Author: thebestxie | Hits:

[Other] INTRODUCTION TO MATLAB FOR

Description: 1 Tutorial lessons 1 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Basic features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 A minimum MATLAB session . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3.1 Starting MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3.2 Using MATLAB as a calculator . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Quitting MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Getting started . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4.1 Creating MATLAB variables . . . . . . . . . . . . . . . . . . . . . . . 5 1.4.2 Overwriting variable . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.3 Error messages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.4 Making corrections . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.5 Controlling the hierarchy of operations or precedence . . . . . . . . . 6 1.4.6 Controlling the appearance of °oating point number . . . . . . . . . . 8 1.4.7 Managing the workspace . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4.8 Keeping track of your work session . . . . . . . . . . . . . . . . . . . 9 1.4.9 Entering multiple statements per line . . . . . . . . . . . . . . . . . . 9 1.4.10 Miscellaneous commands . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.4.11 Getting help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.5 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2 Tutorial lessons 2 12 2.1 Mathematical functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.1.1 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.2 Basic plotting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.1 overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.2 Creating simple plots . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.3 Adding titles, axis labels, and annotations . . . . . . . . . . . . . . . 15 2.2.4 Multiple data sets in one plot . . . . . . . . . . . . . . . . . . . . . . 16 2.2.5 Specifying line styles and colors . . . . . . . . . . . . . . . . . . . . . 17 2.3 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.4 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5 Matrix generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.1 Entering a vector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.2 Entering a matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.5.3 Matrix indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.5.4 Colon operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.5 Linear spacing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.6 Colon operator in a matrix . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.7 Creating a sub-matrix . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.5.8 Deleting row or column . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.9 Dimension . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.10 Continuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.11 Transposing a matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.12 Concatenating matrices . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.13 Matrix generators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.5.14 Special matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 3 Array operations and Linear equations 30 3.1 Array operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.1.1 Matrix arithmetic operations . . . . . . . . . . . . . . . . . . . . . . . 30 3.1.2 Array arithmetic operations . . . . . . . . . . . . . . . . . . . . . . . 30 3.2 Solving linear equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 3.2.1 Matrix inverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.2.2 Matrix functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4 Introduction to programming in MATLAB 35 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2 M-File Scripts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2.1 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 4.2.2 Script side-eRects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.3 M-File functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3.1 Anatomy of a M-File function . . . . . . . . . . . . . . . . . . . . . . 38 4.3.2 Input and output arguments . . . . . . . . . . . . . . . . . . . . . . . 40 4.4 Input to a script ¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.5 Output commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 5 Control °ow and operators 43 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 5.2 Control °ow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 5.2.1 The ``if...end'' structure . . . . . . . . . . . . . . . . . . . . . . . 43 5.2.2 Relational and logical operators . . . . . . . . . . . . . . . . . . . . . 45 5.2.3 The ``for...end'' loop . . . . . . . . . . . . . . . . . . . . . . . . . 45 5.2.4 The ``while...end'' loop . . . . . . . . . . . . . . . . . . . . . . . 46 5.2.5 Other °ow structures . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 5.2.6 Operator precedence . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.3 Saving output to a ¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.4 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 6 Debugging M-¯les 49 6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.2 Debugging process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.2.1 Preparing for debugging . . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.2 Setting breakpoints . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.3 Running with breakpoints . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.4 Examining values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.2.5 Correcting and ending debugging . . . . . . . . . . . . . . . . . . . . 51 6.2.6 Ending debugging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.2.7 Correcting an M-¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Platform: | Size: 258288 | Author: taffy320 | Hits:

[Wavelet] Matlab和C++编写的傅立叶变换程序源代码

Description: （1）用MATLAB开发的傅立叶变换以及逆变换的一个例子，测试通过无误。（2）C＋＋编写的傅立叶以及逆傅立叶变换程序源代码，测试通过。-(1) Using MATLAB development of the Fourier transform and inverse transform an example of the test correct. (2) C++ and inverse Fourier Fourier transform source code, test.
Platform: | Size: 5120 | Author: 孙中雨 | Hits:

[StatusBar] r43

Description: 鲁棒控制器设计，由于RBF网络可以实现任意逼近的非线性关系，它的目标是要做到误差平方和最小，与非线性PCA的目标一致，所以上述非线性PCA的模型可以通过采用两个RBF网络来实现非线性正变换和反变换。RBF网络是一个三层前馈网络，隐层采用径向基函数作为激励函数。第一个RBF网络把高维空间的数据映射到低维空间（如图4），第二个RBF网络将前面网络输出的低维空间数据再映射到高维空间，实现数据恢复(如图5)。这两个网络分别进行训练。-robust controller design, as RBF networks can achieve arbitrary nonlinear approximation, Its goal is to achieve the minimum squared error, and nonlinear PCA have the same goal So these nonlinear PCA model may be adopted by two RBF networks to achieve nonlinear transformation and inverse transform. RBF network is a feed-forward network, hidden layer RBF function as an incentive. RBF a network of high-dimensional data mapping space to the low-dimensional space (figure 4), second RBF network will be in front of the output of low-dimensional space mapping data again to a high-dimensional space. data Recovery (figure 5). The two networks separately for training.
Platform: | Size: 1024 | Author: 浇洒距离 | Hits:

[Special Effects] adsp2

Description: 设计最小二乘逆滤波器求解反卷积问题,假设有观测噪声,为降低观测噪声的影响，可采用预白化方法,设计长度N=50的最小平方FIR逆滤波器-inverse filter design for least squares deconvolution, the assumption that the measurement noise, To reduce the impact of noise and possible pre-whitening method, the length N = 50 the minimum inverse square FIR filter
Platform: | Size: 26624 | Author: 吴森泉 | Hits:

[Special Effects] weinalvboandnilvbomatlabchengxu

Description: 维纳滤波逆滤波matlab程序维纳滤波逆滤波matlab程序-Wiener Filter Wiener inverse filtering procedure filtering matlab inverse filter matlab program
Platform: | Size: 47104 | Author: wuliang | Hits:

[Algorithm] inverse

Description: 用matlab写的五种矩阵求逆程序，里面含有说明文件-Using matlab to write five matrix inversion procedure, which contains documentation
Platform: | Size: 59392 | Author: wangweiming | Hits:

[Algorithm] myifft

Description: 自己编写的matlab中的逆FFT变换，可以用于交流学习-I have written in matlab inverse FFT transform, can be used for the exchange of learning
Platform: | Size: 1024 | Author: | Hits:

[Wavelet] matlab

Description: 语音信号去噪，在MATLAB开发环境下，对含噪声的语音信号进行小波变换，根据阈值去噪的原理去噪，然后逆变换得到增强的语音信号-Speech Signal Denoising in the MATLAB development environment, including noise on the voice signal wavelet transform, in accordance with the principle of threshold denoising Denoising, and then inverse transform enhanced speech signal
Platform: | Size: 4096 | Author: 王鹏 | Hits:

[Special Effects] normalization

Description: Performs image normalization and inverse normalization against affine transformation
Platform: | Size: 3072 | Author: | Hits:

[matlab] inv

Description: 该程序能够对于矩阵就行求逆运算，是一个质量比较高的程序。-The program can be on the line for the matrix inverse operation is a relatively high quality of procedures.
Platform: | Size: 2048 | Author: 张晨 | Hits:

[Applications] inverseFilter

Description: 使用MATLAB编写的逆滤波器程序代码！-Prepared using the MATLAB code Inverse filter!
Platform: | Size: 1024 | Author: 张婷 | Hits:

[Special Effects] matlab(deletefog)

Description: Matlab程序，利用curvelet变换和高斯逆滤波进行图像去雾，含效果图-Matlab program, using curvelet transform and inverse Gaussian image filtering to fog, with the effect of map
Platform: | Size: 1513472 | Author: 谭彬 | Hits:

[Special Effects] Image-inverse-normalization

Description: 程序实现了图像的二值化，把一幅BMP图像二值化成黑白图像，同时也可以实现黑白的颠倒-Procedures for the realization of the image binarization to a BMP image into a binary black and white images, but also black-and-white reversal can be achieved
Platform: | Size: 38912 | Author: 王东 | Hits:

[matlab] recover

Description: 图像复原逆滤波法matlab实现和增强比较。-Image Restoration matlab inverse filtering method to achieve and enhance the comparison.
Platform: | Size: 1024 | Author: ljy | Hits:

[matlab] getd

Description: 共轭梯度法，是数值分析中很重要的一种，源码为其在matlab中的实现。-Conjugate gradient method, numerical analysis is a very important one in the matlab source code for its realization.
Platform: | Size: 1024 | Author: 马丫 | Hits:

[Special Effects] MATLAB

Description: 自己现在在做的论文用到灰度共生矩阵，找了好久都没找到很好用的，所以自己就编了个，不很完美，但绝对可用，已经实现过。包括灰度共生矩阵的生成以及一些特征参数。f1，二阶距。f2，对比度。f3，相关。f5，逆差距。f6，和平均。f7，和方差。f9，差平均。f10，差方差。请不吝赐教。-Now do their own papers in the gray co-occurrence matrix used to find for a long time to find no good use, so it编了个own, not very ideal, but it is available, have been implemented. Including the generation of gray-level co-occurrence matrix as well as some characteristic parameters. f1, the second order from. f2, contrast. f3, related. f5, inverse gap. f6, and the average. f7, and the variance. f9, the average difference. f10, difference variance. Please wing.
Platform: | Size: 2048 | Author: 周鹏 | Hits:

[Special Effects] exp03

Description: 通过Matlab实现维纳滤波及逆滤波复原图像不使用matlab自带函数而是自编程序实现-Matlab to achieve through the Wiener filter and inverse filter to recover the image does not use function but rather bring their own self-matlab program
Platform: | Size: 1024 | Author: 虞佳霓 | Hits:

[Compress-Decompress algrithms] wavelet

Description: 双正交小波的正变换和反变换，以及显示程序；提升小波的正变换和反变换，以及显示程序-Are the biorthogonal wavelet transform and inverse transform, and display procedures the lifting wavelet transform and inverse transform is, as well as the display program
Platform: | Size: 169984 | Author: zoe | Hits:

[matlab] inverse

Description: Matrix inverse by Gauss-Jordan elimination
Platform: | Size: 1024 | Author: katore vishal | Hits:

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