Effect: Early preparation: The character can walk on the drawn Berlin noise map because of the use of the Dynamic baked map plug-in Mount the LocalNavMeshBuilder script in the plug-in for the character: Add the NavMeshSourceTag script in the code for the Berlin noise map: Implementation: Three types of movement of characters: Create a character […]
Tag: noise
Python image processing: frequency domain filtering, noise reduction and image enhancement
Click “Xiaobai Xue Vision” above and choose to add “star” or “pin“ Heavy stuff, delivered as soon as possible This article is about 4300 words, it is recommended to read for 8 minutes This article will discuss the various stages involved in the frequency transformation of an image from FFT to inverse FFT, combined with […]
Help understand: diversity, interleaving, SFFT, additive Gaussian white noise
Variety Diversity is a technique used in wireless communications to increase signal reliability and reduce the effects of fading. The core idea is to improve communication quality through multiple independent or nearly independent signal replication. Because each signal replica experiences a different propagation path or condition, they may not all be affected by fading at […]
Large model | NEFTune’s benefits of introducing random noise to large model training
Large model | NEFTune’s benefits of introducing random noise to large model training The paper mentioned that adding moderate random noise to inputs_embedding during the model foward process will bring significant benefits. Paper: https://arxiv.org/pdf/2310.05914.pdf Github: https://github.com/neelsjain/NEFTune Article directory Large model | NEFTune’s benefits of introducing random noise to large model training theory 1. Practical methods […]
Types of image data noise and corresponding noise generated by Python
Foreword When it comes to image processing and computer vision tasks, noise is a factor that cannot be ignored. Noise can be caused by a variety of factors, such as sensor errors, communication interference, ambient light changes, etc. These noises will cause image quality to degrade, thus affecting subsequent image analysis and processing. Therefore, for […]
Calibration and integration of imu’s stationary bias noise
The Imu used in the example is Lunqu Technology n100 mini. The coordinate system of the data output by imu is based on the ROS coordinate system. Eigen::Quaterniond q_ahrs(ahrs_frame_.frame.data.data_pack.Qw, ahrs_frame_.frame.data.data_pack.Qx, ahrs_frame_.frame.data.data_pack.Qy, ahrs_frame_.frame.data.data_pack.Qz); Eigen::Quaterniond q_r = Eigen::AngleAxisd(PI, Eigen::Vector3d::UnitZ()) * Eigen::AngleAxisd(PI, Eigen::Vector3d::UnitY()) * Eigen::AngleAxisd(0.00000, Eigen::Vector3d::UnitX()); Eigen::Quaterniond q_rr = Eigen::AngleAxisd(0.00000, Eigen::Vector3d::UnitZ()) * Eigen::AngleAxisd(0.00000, Eigen::Vector3d::UnitY()) * Eigen::AngleAxisd(PI, Eigen::Vector3d::UnitX()); Eigen::Quaterniond […]
Matrix singular value decomposition – information compression and noise reduction (python)
Matrix singular value decomposition – information compression and noise reduction (open_cv) ? The blogger took a mathematical modeling class today, and the teacher talked aboutThe singular value decomposition of a matrix can be used for image compression. When bloggers learned linear algebra, they did not expect that singular value decomposition could be used in this […]
Image processing: Others – Periodic noise removal filter OpenCV v4.8.0
Previous tutorial: Anisotropic image segmentation using gradient structure tensors Original author Karpushin Vladislav Compatibility OpenCV >= 3.0 Goals In this tutorial you will learn How to remove periodic noise in Fourier domain Theory Comments This tutorial is based on the book [98]. The images on this page are real world images. Periodic noise produces spikes […]
Assignment “Digital Signal Processing” gives a certain set of digital signals. In addition to the target signal, the signal is also mixed with strong noise, but the frequency of the noise and the target signal does not overlap. It is required to use the knowledge learned this semester to analyze the signal. at
“Digital Signal Processing” Big Assignment Table of contents 1. Question analysis… 2 1.1 HWDATA.MAT file… 2 1.2 Programming ideas… 2 1.3 Principle of FFT algorithm… 2 1.4 Butterworth filter design… 3 2. System block diagram:… 4 3. Code implementation and running results… 4 3.1 Import data… 4 3.2 Draw the original signal time domain waveform… […]
[Signal Denoising] Based on variational nonlinear linear frequency modulation mode decomposition VNCMD to achieve nonlinear noise denoising in multi-signal modes with matlab code
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization content, click Intelligent optimization algorithm […]