json transformation

DCT transformation, DCT inverse transformation, and Block DCT Transformation You are welcome to reprint it, but please indicate the source!I. Introduction The full name of DCT transformation is the discrete cosine transform (discrete cosine transform), which is mainly used to compress data or images and convert the si

Test code:Package Com.yanek.util.json;import Java.util.arraylist;import Java.util.list;import net.sf.json.jsonarray;import Net.sf.json.jsonobject;public class Jsonlibutil {/** * @param args */public static void main (string[] args) {Hotel h1=new

UWP development-two-dimensional transformation and three-dimensional transformation, uwp two-dimensional transformation 3D In development, due to some requirements, we may need to perform some translation, scaling, rotation, or even 3D transformations. So let's talk about how to implement these transformations in UWP. I, Two-dimensional

1. Logarithmic transformation realizes the function of gray scale and compression of image. It expands the low gray value and compresses the high gray value, which makes the gray distribution of the image more conform to the human visual characteristics./******************************************************************************* function: Logarithmic transformation function * Parameter: pDst output T

[DWT Note] Fourier transformation and Wavelet Transformation I. Preface The signals we often encounter, such as sine, cosine, and even complex ECG, EEG, and seismic waves, are all signals in the time domain. We also become the original signal, but normally, the information we obtain in the original signal is limited. Therefore, in order to obtain more information, we need to perform mathematical

Test code:Package Com.yanek.util.json;import Java.io.ioexception;import Java.io.stringwriter;import java.util.ArrayList; Import Java.util.list;import Com.fasterxml.jackson.core.jsonfactory;import Com.fasterxml.jackson.core.jsongenerator;import

Understanding of Discrete Fourier Transformation (I) ------ the origin of Fourier Transformation: The description of Fourier transformation can be easily found in books or on the Internet, but it is mostly an article about it, it's too abstract. It's just a list of seemingly daunting formulas, making it hard for people to understand from their senses. Recently, I

Test code:Package Com.yanek.util.json;import Java.util.arraylist;import Java.util.list;import com.google.gson.gson;import Com.google.gson.gsonbuilder;import Com.google.gson.jsonelement;import Com.google.gson.jsonparser;public Class Gsonutil {/** *

I. IntroductionIn work development, there are often many problems with Coordinate System Conversion. There are many discussions about how to achieve the conversion between different coordinate systems. Based on practical application projects, most of them have proposed a better solution. Two years ago, I also downloaded an article, "Coordinate System Conversion Formula" (translated by Dai Qianyi, Qingdao Institute of Marine Geology) from the Internet. This article describes various

Uielement and rendertransform First, let's see what types of objects can be transformed. In WPF, the base class of the object to be presented to the user is a visual class, but the visual object does not have the transformation function. What has the transformation function is its subclass uielement. This class is also a very underlying class. Almost all of our common controls are inherited from it. That is

is: 40 degrees."); }} Public class hotwater extends water { Public void Showtem() {System.out.println ("My temperature is: 100 degrees."); }} Public class testwater{ Public Static void Main(string[] args) {Water W =NewWarmwater (); W.showtem (); W =NewIcewater (); W.showtem (); W =NewHotwater (); W.showtem (); }}//Results://My temperature is: 40 degrees//My temperature is: 0 degrees//My temperature is: 100 degreesHere's the way Showtem () is the equivalent of you goin

The transformation model is a geometric transformation model which can best fit two images according to the geometric distortion between the image to be matched and the background image. There are several types of transformation models available: Rigid transformations, affine transformations, perspective transformations, and non-linear transformations, such as:

Understanding Discrete Fourier Transformation (ii) ------ real number form discrete Fourier Transformation (real DFT) in the previous section we see an example of real number form discrete Fourier transformation, through this example, we can first have a more vivid perceptual knowledge of Fourier transformation. Now le

Upward transformation:The object that the subclass refers to is converted to a parent class type called upward transformation. In layman's words, a subclass object is converted to a parent class object. Here the parent object can be an interface1 Public class Animal {2Publicvoideat () {3System.out.println ("Animal eat!");4 }5 }6 7 class Bird extends animal{8Publicvoideat () {9System.out.println ("Bird eat!");Ten } One APublicvoidFly

In the previous article, matrix transformation of two-dimensional images (I)-basic concepts have introduced some basic knowledge about matrix transformation of two-dimensional images. This article mainly introduces how to perform matrix transformation in WPF. Matrix Structure In WPF, the matrix structure (struct type) is used to represent a two-dimensional

I originally wanted to solve the displacement of small-scale moving objects with a single stress, but later I found that even a very small displacement would bring about a huge error or even a wrong solution. It seems that this method is not feasible, we still need to match and know the depth before we can start with the three-dimensional affine transformation ~ Estimaterigidtransform (): Calculate multiple two-dimensional point pairs or the

Type conversions are often encountered in Java programming, and object type conversions mainly include upward transformation and downward transformation.5.13.1 Upward transformationWe often say this in reality: this person can sing. Here, we do not care whether this person is black or white, adult or child, that is to say, we are more inclined to use abstract concept "person". For example, sparrows are a ty

In the process of Java learning, for the transformation of this operation is more confused, especially summed up this article. Examples refer to "Java Programming ideas".DirectorySeveral synonymsUpward transformation and downward transformationExample one: Upward transformation, invoking the specified parent class methodExample two: Upward

When studying the sixth unity built-in function, the mul matrix multiplication was previously inconsistent with the book, resulting in a different lighting effect when using built-in functions, resulting in the following two issues:1 When do I use a 3x3 matrix and when do I use a 4x4 matrix?2 The normal transformation matrix is not the same as the coordinate transformation matrix ?Answer 1:The 4.9.1 section

The elementary transformation of the Matrix one. Mathematical concepts The nature of an equivalence relationship: (i) reflexive a~a; (ii) If the symmetry of  is a~b, then b~a; (iii) If the transitivity is A~b, the b~c is a~c; Two. focus, difficulty analysis The focus of this section is to use matrix Elementary transformations to transform matrices into row (column) ladder-shaped matrices, minimalist matrices, and standard-form matrices. Row (column)