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This article mainly introduces the relevant knowledge of "what has been updated in the R2015b version". The editor shows you the operation process through an actual case. The method of operation is simple and fast, and it is practical. I hope that this "R2015b version updated what content" article can help you solve the problem.

R2015b version

MATLAB product family update:

MATLAB: added execution engine to run MATLAB ®code faster; graphical and directed graph functions for creating, analyzing, and visualizing graphics and networks; additional browsers-a single interface for adding community authoring toolkits and MathWorks ®toolkits, applications, functions, models, and hardware support; hardware support for iOS sensors, Raspberry Pi ™2 and BeagleBone Black

MATLAB Compiler SDK: deployable MATLAB components that integrate with applications written in Python

Statistics and Machine Learning Toolbox: SVR (support vector regression) and Gaussian process (Kriging) for model fitting, PCA feature transformation and GPU acceleration in classification learner applications and 65 functions

GPU acceleration of functions in Parallel Computing Toolbox:Statistics and Machine Learning Toolbox, including probability distribution, descriptive statistics and hypothesis testing, as well as other MATLAB functions

Image Processing Toolbox:Gabor and box filtering, 20 functions can be used to generate C code using MATLAB Coder, and improve grayscale morphology and filtering performance.

Computer Vision System Toolbox:3-D point cloud processing, including geometry fitting, normal vector estimation and visualization

Database Toolbox: database reads and writes are faster

Control System Toolbox:2-DOF PID controller regulation

Robust Control Toolbox: using systune and Control System Tuner applications for robust adjustment, the factory's robust controller can be automatically adjusted by uncertain parameters

Simulink product family update:

Simulink: added UI; to view and debug signals through cursors and measurements in oscilloscopes to create reusable components and simplify reference projects for large modeling projects; fine-tuning module parameters and workspace variables is always turned on during simulation; multilingual module names, signal names and MATLAB function annotations can be used for Simulink ®, Stateflow ®and Simulink Coder

Stateflow: message-add objects that can hold data and can be queued

Simscape: improved two-phase fluid module library and simulation speed for switched linear systems

Simulink Design Optimization: fast restart with Simulink improves the speed of parameter estimation and optimizes the response time

Signal processing and communication:

Antenna Toolbox: infinite Array Analysis and Visualization of Emuri H Field

LTE System Toolbox: cell Release 12 downlink 256QAM modulation, Release 11 multi-area zero power CSI-RS mode and enhanced waveform generation

Code generation:

MATLAB Coder: C code generation of cellular array

Embedded Coder: quickly configure the model to generate efficient, reusable code

HDL Coder: use the AXI4 interface to adjust run-time hardware parameters for Xilinx ®Zynq ®and Altera ®SoC FPGA

Simulink PLC Coder: you can generate code for Siemens ®TIA Portal IDE and support global variables in Siemens TIA Portal and STEP ®7 IDE

Testing and verification:

Simulink Design Verifier:C code S function analysis and model consultant runtime error checking

Simulink Test: create test cases from inputs generated by Simulink Design Verifier ™and perform tool qualification using DO Qualification Kit and IEC Certification Kit

Polyspace Bug Finder: security checks for detecting code vulnerabilities and dynamically displaying results

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