Features a unique program to estimate the power spectral density. The spectrum containing all significant Details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
标签： containing Features estimate spectral
上传时间： 2014-02-09
上传用户：daguda
svd 算法代码 This directory contains instrumented SVDPACKC Version 1.0 (ANSI-C) programs for compiling within the "svdrun" script. The "svdsum" script can be run after all output files of the form <dataset>.outN, where N=1,2,... have been produced by svdrun. more Details please read the file readme!
标签： instrumented directory compiling SVDPACKC
上传时间： 2017-09-24
上传用户：manking0408
A pdf regarding, reading of bar codes from mobile phones. All types of bar codes can be read from the mobile phones. It includes the Details regarding, how to convert the bar codes into appropriate formats and then to verify it for the geniality.
上传时间： 2013-12-26
上传用户：xinzhch
matlab有限元网格划分程序 DistMesh is a simple MATLAB code for generation of unstructured triangular and tetrahedral meshes. It was developed by Per-Olof Persson (now at UC Berkeley) and Gilbert Strang in the Department of Mathematics at MIT. A detailed description of the program is provided in our SIAM Review paper, see documentation below. One reason that the code is short and simple is that the geometries are specified by Signed Distance Functions. These give the shortest distance from any point in space to the boundary of the domain. The sign is negative inside the region and positive outside. A simple example is the unit circle in 2-D, which has the distance function d=r-1, where r is the distance from the origin. For more complicated geometries the distance function can be computed by interpolation between values on a grid, a common representation for level set methods. For the actual mesh generation, DistMesh uses the Delaunay triangulation routine in MATLAB and tries to optimize the node locations by a force-based smoothing procedure. The topology is regularly updated by Delaunay. The boundary points are only allowed to move tangentially to the boundary by projections using the distance function. This iterative procedure typically results in very well-shaped meshes. Our aim with this code is simplicity, so that everyone can understand the code and modify it according to their needs. The code is not entirely robust (that is, it might not terminate and return a well-shaped mesh), and it is relatively slow. However, our current research shows that these issues can be resolved in an optimized C++ code, and we believe our simple MATLAB code is important for demonstration of the underlying principles. To use the code, simply download it from below and run it from MATLAB. For a quick demonstration, type "meshdemo2d" or "meshdemond". For more Details see the documentation.
标签： matlab有限元网格划分程序
上传时间： 2015-08-12
上传用户：凛风拂衣袖
有向图的邻接表存储，递归和非递归的深度、广度遍历
标签： 有向图，无向图的深度，广度遍历
上传时间： 2015-12-10
上传用户：qctxh
Fire and Fury。 This article is about the 2018 book. For other uses, see Fire and Fury (disambiguation). The title refers to a quote by Trump about the conflict with North Korea. The book became a New York Times number one bestseller.Fire and Fury: Inside the Trump White House is a 2018 book by Michael Wolff which Details the behavior of U.S. President Donald Trump and the staff of his 2016 presidential campaign and White House. The book highlights descriptions of Trump's behavior, chaotic interactions among senior White House staff, and derogatory comments about the Trump family by former White House Chief StrategistSteve Bannon. Trump is depicted as being held in low regard by his White House staff, leading Wolff to state that "100% of the people around him" believe Trump is unfit for office.[1] Reviewers generally accepted Wolff's portrait of a dysfunctional Trump administration, but were skeptical of many of the book's most controversial claims.
上传时间： 2018-02-26
上传用户：Yoobaobao
This article is about the 2018 book. For other uses, see Fire and Fury (disambiguation). The title refers to a quote by Trump abot the conflict with North Korea. The book became a New York Times number one bestseller.Fire and Fury: Inside the Trump White House is a 2018 book by Michael Wolff which Details the behavior of U.S. President Donald Trump and the staff of his 2016 presidential campaign and White House. The book highlights descriptions of Trump's behavior, chaotic interactions among senior White House staff, and derogatory comments about the Trump family by former White House Chief StrategistSteve Bannon. Trump is depicted as being held in low regard by his White House staff, leading Wolff to state that "100% of the people around him" believe Trump is unfit for office.[1] Reviewers generally accepted Wolff's portrait of a dysfunctional Trump administration, but were skeptical of many of the book's most controversial claims.
上传时间： 2018-02-26
上传用户：Yoobaobao
#include <stdio.h> #include <stdlib.h> ///链式栈 typedef struct node { int data; struct node *next; }Node,*Linklist; Linklist Createlist() { Linklist p; Linklist h; int data1; scanf("%d",&data1); if(data1 != 0) { h = (Node *)malloc(sizeof(Node)); h->data = data1; h->next = NULL; } else if(data1 == 0) return NULL; scanf("%d",&data1); while(data1 != 0) { p = (Node *)malloc(sizeof(Node)); p -> data = data1; p -> next = h; h = p; scanf("%d",&data1); } return h; } void Outputlist(Node *head) { Linklist p; p = head; while(p != NULL ) { printf("%d ",p->data); p = p->next; } printf("\n"); } void Freelist(Node *head) { Node *p; Node *q = NULL; p = head; while(p != NULL) { q = p; p = p->next; free(q); } } int main() { Node *head; head = Createlist(); Outputlist(head); Freelist(head); return 0; } 2.顺序栈 [cpp] view plain copy #include <iostream> #include <stdio.h> #include <stdlib.h> ///顺序栈 #define MaxSize 100 using namespace std; typedef
上传时间： 2018-05-09
上传用户：123456..
DESCRIPTION The Texas Instruments MSP430 family of ultra-low-power microcontrollers consists of several devices featuring different sets of peripherals targeted for various applications. The architecture, combined with five low-power modes, is optimized to achieve extended battery life in portable measurement applications. The device features a powerful 16-bit RISC CPU, 16-bit registers, and constant generators that contribute to maximum code efficiency. The digitally controlled oscillator (DCO) allows wake-up from low-power modes to active mode in less than 1 μs. The MSP430G2x13 and MSP430G2x53 series are ultra-low-power mixed signal microcontrollers with built-in 16- bit timers, up to 24 I/O capacitive-touch enabled pins, a versatile analog comparator, and built-in communication capability using the universal serial communication interface. In addition the MSP430G2x53 family members have a 10-bit analog-to-digital (A/D) converter. For configuration Details see Table 1. Typical applications include low-cost sensor systems that capture analog signals, convert them to digital values, and then process the data for display or for transmission to a host system.
上传时间： 2018-12-25
上传用户：ygyh
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual Details while example-based methods sometimes introduce unexpected Details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual Details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
标签： Super-resolution Multi-scale Dictionary Single Image for
上传时间： 2019-03-28
上传用户：fullout
