Tag：Noise
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Hengyuan cloud_ Notes on [image smoothing]
Source of the article | Hengyuan cloud community (a shared computing platform focusing on AI industry:Hengyuan zhixiangyun) Original address|Image smoothing Original author | inster Learning objectives Understand the types of noise in the imageUnderstand the content of average filtering, Gaussian filtering, median filtering, etcBe able to process images using filters 1 image noise Because the […]
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Terrain generation mechanism of minecraft games
catalogue preface Terrain generation height Forming biological community Simulate rainwater erosion and generate rivers (unfinished) Forming caves and rifts Generate vegetation Place trees (Bezier curves) Building generation Generative development domain (cellular automata model) Place building (DFS) Connecting road (a * pathfinding) optimization Terrain loading & Rendering Data storage & Query preface At the time of […]
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Python uses ARIMA and GARCH models to predict and analyze the time series of stock market returns
Original link: http://tecdat.cn/?p=24092 preface In quantitative finance, I learned various time series analysis techniques and how to use them. By developing our portfolio of time series analysis (TSA) methods, we can better understand what has happened_ And to_ Make better and more favorable predictions for the future. Example applications include predicting future asset returns, future […]
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Paper recommendation – using noisy student for self training can improve the performance of Imagenet classification
Teacher student model, pseudo label, semi supervised learning and image classification Using noisy student for self training to improve Imagenet classification is a paper published in 2020 CVPR by Google research, brain team and Carnegie Mellon University Noisy student extends self-training and distillation methods by using equal or larger student models during training and adding […]
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Extended tecdat|matlab uses empirical mode decomposition EMD to denoise the signal
Original link:http://tecdat.cn/?p=12486 Original source:Tuo end data tribal official account Variable modulus decomposition of dial tone signal Create a signal sampled at 4 kHz, similar to all keys for making a digital phone call. Save signal as MATLAB ® Time data. fs = 4e3; t = 0:1/fs:0.5-1/fs; Draw the variational modal decomposition of the schedule. VMD of multicomponent signal A […]
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Python text recognition
Using Tesseract orc to recognize characters, the recognition rate is not too high. You need to train tessdata to more accurately recognize the characters you want the computer to recognize import os Graphic recognition tesseract-ocr This work adoptsCC agreement, reprint must indicate the author and the link to this article
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Comparison, evaluation and recommendation of several raspberry pie 4B shell radiators
Comparison, evaluation and recommendation of several raspberry pie 4B shell radiators Raspberry pie Background story I believe many friends will have two questions after starting raspberry Pie: 1. Do you need to increase heat dissipation? 2. What method should be used to dissipate heat? Let’s answer them one by one. Is heat dissipation required? In […]
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MATLAB realizes extended Kalman filter (EKF) for fault detection
Original link:http://tecdat.cn/?p=22467 This paper shows how to use extended Kalman filter for fault detection. In this paper, the extended Kalman filter is used to estimate the friction of a simple DC motor on-line. Significant changes in the estimated friction are detected and indicate the presence of a fault. Motor model The motor is simulated to […]
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Using depth convolution self encoder to reduce image noise in 10 minutes
Author | Orhan Gazi YAL ç ı nvCompile VKSource: towards Data Science You may be familiar with different neural network structures. You may have heard of feedforward neural networks, CNN, RNNs. These neural networks are very useful for solving supervised learning tasks such as regression and classification. However, in the field of unsupervised learning, we […]
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Pytorch version depth residual shrinkage network code
This article is reproduced as follows: https://zhuanlan.zhihu.com/p/… Original text: deep residual shrink networks for fault diagnosis Authors: Minghang Zhao, Shisheng Zhong, Xuyun Fu Time: September 2019 1. Introduction In order to solve this problem, this paper proposes a residual shrinkage network, which adapts to determine the soft threshold through machine learning to eliminate the influence […]
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Front end. With some experience, say some ideas
There are no dry goods, but mainly some ideas. I say you realize that there are 100 Hamlets in the eyes of 100 people. Isn’t this the case with academic exchanges? It’s easy to get started at the front end, but it’s harder to get to the back Why? Too much noise! What should I […]
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Alicloudnoise speech enhancement algorithm helps real-time conference system enter the era of ultra clear sound quality
Introduction:In recent years, with the development of real-time communication technology, online meeting has gradually become an indispensable and important office tool in people’s work. According to incomplete statistics, about 75% of online meetings are pure voice meetings, that is, there is no need to turn on the camera and screen sharing function. At this time, […]