R2024a 版本亮点
主要更新
- Computer Vision Toolbox – 部署 YOLOx 目标检测；执行基于团队的标注；执行实时视觉 SLAM。
- Deep Learning Toolbox – 支持 Transformer 等架构；导入 PyTorch 和 TensorFlow 模型并执行协同仿真。
- GPU Coder – 生成用于深度学习的泛型 CUDA；使用单一内存管理器和探查代码以进行 MEX 代码生成。
- Instrument Control Toolbox – 使用仪器资源管理器管理具有 IVI 和 VXIplug&play 驱动程序的设备，无需编写代码。
- Satellite Communications Toolbox – 对多平台场景进行建模，并对其执行可见性和通信链路分析。
- UAV Toolbox – 使用 PX4 硬件在环仿真设计和部署垂直起降 (VTOL) 无人机的飞行控制器；与 PX4 Cube Orange Plus 和 Pixhawk 6c 自动驾驶对接。
功能迁移
- Simulink 3D Animation – 在 Unreal Engine 5.1 中使用新的预置场景、交通参与者和传感器对动态系统进行仿真和可视化。
- SoC Blockset – 使用 SoC Blockset Support Package for Xilinx Devices 在 SDR 和视觉硬件上进行原型构建和测试。
MATLAB 是数百万工程师和科学家都在使用的编程和数值计算平台，支持数据分析、算法开发和建模。
专业开发
MATLAB 工具箱经过专业开发、严格测试并拥有完善的帮助文档。
包含交互式应用程序
MATLAB 应用程序让您看到不同的算法如何处理您的数据。在您获得所需结果之前反复迭代，然后自动生成 MATLAB 程序，以便对您的工作进行重现或自动处理。
以及扩展能力
只需更改少量代码就能扩展您的分析在群集、GPU 和云上运行。无需重写代码或学习大数据编程和内存溢出技术。
MathWorks unveiled Release 2024a (R2024a) of the MATLAB and Simulink product families. R2024a introduces new functionality that streamlines the workflows of engineers and researchers working on AI and Wireless Communications systems.
With nearly 6,000 low-Earth orbit satellites (LEOs) in orbit currently and billions in private-sector funding flowing into space-related companies, interest in satellite communications is at an all-time high. The Satellite Communications Toolbox update in R2024a enables Satcom engineers to model scenarios and provides standards-based tools for designing, simulating, and verifying satellite communications systems and links. In addition, engineers can use the toolbox to design physical layer algorithms together with RF components and ground station receivers, generate test waveforms, and perform golden reference design verification.
R2024a also includes major updates to popular MATLAB and Simulink tools, including:
– Computer Vision Toolbox provides algorithms, functions, and apps for designing and testing computer vision, 3D vision, and video processing systems. The product includes the ability to design algorithms, label data, and generate code for 2D and 3D vision tasks.
– Deep Learning Toolbox provides a framework for designing and implementing deep neural networks with algorithms, pre-trained models, and apps. The toolbox enables support for architectures, such as transformers, and importing and co-simulating PyTorch and TensorFlow models.
– Instrument Control Toolbox connects MATLAB directly to instruments such as oscilloscopes, function generators, signal analyzers, power supplies, and analytical instruments. The Instrument Explorer app can be used to manage devices with IVI and VXI Plug&Play drivers without writing code.
MathWorks is the leading developer of mathematical computing software. Engineers and scientists worldwide rely on its products to accelerate the pace of discovery, innovation, and development. MathWorks is lowering the barrier of entry for adding AI to products by offering tools that support deep learning, machine learning, and other AI methodologies. The company produces nearly 100 additional products for specialized tasks such as data analysis, image processing and artificial intelligence. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design of multidomain dynamic and embedded systems. By pairing MATLAB/Simulink with its toolboxes, users can design, train, and deploy AI models efficiently or import third party networks and tailor them for deployment to MCUs. These capabilities enable engineers and developers using MathWorks tools to build innovative AI applications, from autonomous systems to predictive analytics.
MathWorks is the leading developer of mathematical computing software. Founded in 1984, MathWorks employs more than 5000 people in 16 countries, with headquarters in Natick, Massachusetts, USA.
Owner: Mathworks
Product Name: Matlab & Simulink
Version: R2024a (24.1.0.2537033) with Documentation *
Supported Architectures: x64
Website Home Page : http://www.mathworks.com
Languages Supported: english
System Requirements: macOs (Apple Silicon) *
Size: 16.7 Gb
Installing local documentation: 1. mount the image R2024a_Doc_macOSAppleSilicon.dmg 2. execute in terminal Code: cd /Volumes/R2024a_Doc_macOSAppleSilicon/bin/maca64/ Code: ./mpm install-doc –matlabroot="/Applications/MATLAB_R2024a.app" –destination="/Applications/MATLAB_R2024a.app" The documentation will be installed in the /Applications/MATLAB_R2024a.app/help folder
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