discrete webcam

Task Draws a three-dimensional surface with a given discrete point, for example to the following data: % x y z 1 2 3 1 5 2 2 3 4 3 8 5 ... Analysis 1. Data is not an interval grid data In this case, you cannot directly use functions such as mesh, surf, and so on, because these functions require a grid form for the data format, and each point is equal to the interval, like this: This is not the case (the actual rules can be seen in the following fi

This code can be downloaded (updated tomorrow).In the previous article, the Hotspot Association rule Algorithm (1)-mining discrete data analyzes the hotspot Association rules of discrete data, and this paper analyzes the mining of the Hotspot Association rules of discrete and continuous data.1. First look at the data format (TXT document):@attribute Outlook {Sunn

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 occasionally see an electronic book about digital signal processing on the Internet. It's

This article is reproduced from: The difference between integrated graphics and discrete graphics, performance is different. The difference between integrated graphics and discrete graphics The difference between discrete graphics, core graphics, and integrated graphics The following sections are reproduced from: The difference between integrated graphics and

Http://blog.csdn.net/xuexiang0704/article/details/8260890 Continuous, discrete Fourier transformation and series are still very mixed! 1. Due to the periodicity of the discrete complex index, the discrete Fourier transformation has a periodic (2 π ). This leads to a series of differences, such as discrete multiplicati

12. SystemA system is a transformation (transformations, a description of motion expressed in linear algebra)A discrete time domain signal x is mapped to a discrete time domain signal y. For example: magnetic resonance imaging System. Where is offset translated into: compensation system? Decimate translation into a sampling system?Summarize:The system transforms one signal into another (transform) signal by

Tree-related knowledge points:Relative to the Tsinghua University Press this "discrete mathematics" about the tree of this chapter is relatively simple, the concept is not much, about trees, forests, leaves, sub-fulcrum, spanning tree, the minimum spanning tree concepts are very simple, here no longer, the following records several theorems and important algorithm steps.Theorem 1: Set tProof: Set T has k leaf, then there are n-k branch points (the deg

discrete coordinates are 1,3,5.....2*k+1. 0 and 2*k+2 are peripheral. I compressed the whole picture into one dimension, for example (x, y) corresponding subscript is x* column width +y, next is BFS, first to pass the place all marked 1, other placesLabeled as-1, at this point I just need to add (0,0) to the queue (you can think about why) and mark all the places you can go to 0. But one thing to be aware of, because I was enlarged twice times, if th

Topic Link: Click to open the linkTitle Description: Given some rectangles, the total area of these rectangles, if there is overlap, only one timeThinking: Scan line + line tree + discrete (code scan from top to bottom)Code:#include Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. hdu1542 Atlantis (scan line + segment tree + discrete) rectangular i

Problem: Generating a kernel density map from discrete pointsSolution: Use Arctoolbox tool to make kernel density mapWorkaround:(1) Arctoolbox-->spatial Analyst Tool--density analysis---Kernel density analysis.(2) Enter the parameters. Note: The population field can be none; the output cell size in the experiment is 0.0001; The search radius needs to be tried to set a suitable value for better results, set to 0.01 in the experimentComplete to view res

number of squares that can be coated with K is a+n-b, The number of squares that can only be painted in K-1 is x*n-(a+n-b); the coloring scheme for x lines is temp=k^ (a+n-b) * (K-1) ^ (x*n-(A+n-b)) and if temp=r, temp is the answerAgain consider the case of line x+1, if the X Act is not a color of the lattice, then the next row of its adjacent lattice coloring scheme is K, otherwise K-1, the number of K-1 can be painted C, then temp=temp*k^c* (K-1) ^ (n-c), if temp=r, then temp is the answerTh

Discrete Logging Time Limit: 5000MS Memory Limit: 65536K Total Submissions: 4236 Accepted: 1948 DescriptionGiven a prime P, 2 BL = = N (mod P)InputRead several lines of input, each containing p,b,n separated by a space.OutputFor each line print the logarithm to a separate line. If There is several, print the smallest; If there is

POJ 2417 Discrete Logging BSGS Discrete Logging Time Limit:5000 MS Memory Limit:65536 K Total Submissions:4011 Accepted:1849 DescriptionGiven a prime P, 2 BL == N (mod P) InputRead several lines of input, each containing P, B, N separated by a space. OutputFor each line print the logarithm on a separate line. If there are several, print the smallest; if there is

ways. Sample Input 35 510 110 128 Sample output Case #1: 22Case #2: 1023Case #3: 586 Question: Give a number ranging from 1 to n and ask how many subsets of LCM are greater than or equal to M. Idea: m is very large, and the subset also has 2 ^ 40, but it is found that the minimum public multiple range is only more than 40 thousand, therefore, we can use DP [I] [J] to indicate that the minimum public multiples of the first I count are the number of J schemes, and the results of the minimum

bandwidth in the frequency domain. It is impossible to have signals and sequences with limited time domain length and frequency domain bandwidth. In addition, if the time domain is narrow, the frequency bandwidth is used. Dtft is time discrete, while the frequency domain is continuous. In Matlab, the special function is [h, w] = freqz (B, A, N ). If n is not specified, 512 is used by default. Here, B is the sequence X, and A is 1. In this way, onl

1) Bar chartBar charts are perhaps the most commonly used graphics, often used to show the relationship between categories (different categories on the x-axis) and values (numeric values on the y-axis). Sometimes the bar heights represent counts of cases in the data set, and sometimes they represent values in the data set (with The bar chart height represents the frequency (count) in the dataset, and sometimes represents the values in the dataset, which should be kept firmly in mind, otherwise c

See an interesting article on the Internet "the key to the girl of discrete Mathematics"Just use JS to write the above-mentioned pairing method:First set the variable //Boys Ideal List varMenpreference ={A: [1, 2, 3, 4, 5], B: [1, 3, 4, 2, 5], C: [3, 2, 1, 4, 5], D: [4, 5, 2, 3, 1], E: [5, 2, 1, 4, 3] }; //Girls Ideal List varWomempreference = { 1: [' A ', ' B ', ' C ', ' D ', ' E '], 2: [' B ', ' D ', ' A ', ' E ', ' C '], 3: [' E ', ' B ',

Naive Bayesian method is a classification method based on Bayesian theorem and independent hypothesis of feature conditions. Simply put, the naive Bayes classifier assumes that each feature of the sample is irrelevant to any other feature. For example, a fruit can be judged to be an apple if it has features such as red, Circle, and about 4 inches in diameter. Although these characteristics are interdependent or some characteristics are determined by other characteristics, the Naive Bayes classif

The expression of discrete signals 1, a discrete signal needs to be represented by two vectors:(1) Amplitude of discrete signal(2) location information of discrete signals2, using MATLAB to realize the visualization of discrete signals(1) Symbolic operations cannot be used t

The theoretical part is reproduced from this article blog:http://blog.csdn.net/luoweifu/article/details/8214959 the blog gives Java code, I use C + + to implement it.Theory:In addition to the Fourier transform, the orthogonal transformations commonly used in image processing have some other useful orthogonal transformations, in which the discrete cosine is one. The discrete cosine transform is represented a