MathWorks delivers new tools for advanced signal processing in MATLAB and Simulink

NATICK, USA: MathWorks announced major new capabilities for the design of advanced signal processing and communications systems with MATLAB and Simulink.

The new SimRF product lets system architects use Simulink to design and verify complete wireless communication systems with true-to-form RF subsystem models and advanced circuit-envelope and harmonic-balance methods.

A major update to Simulink HDL Coder adds critical path analysis and area-speed optimizations for automatic HDL code generation, along with a new Workflow Advisor for FPGA implementations.

Enhancements to Communications Blockset, Signal Processing Blockset, and Video and Image Processing Blockset add over 250 new algorithms to MATLAB for processing streaming data.

MathWorks C code generation tools now support the Eclipse IDE, Embedded Linux, ARM processors, and the SystemC TLM 2.0 standard. Together, these new capabilities enable more advanced system analysis early in development, streamline algorithm design and implementation, and provide smooth integration with commonly-used tools and standards.

“Wireless, sensor processing, and streaming media capabilities are integral to today’s embedded systems, and engineers need design tools that can simulate digital, analog and software components simultaneously,” said Ken Karnofsky, senior strategist at MathWorks.

“These new capabilities for signal processing systems in MATLAB and Simulink unify and automate critical tasks in the design workflow. This is a major advance that accelerates algorithm IP development, system design and verification, and collaboration between engineering teams.”