DSP - Digital Signal Processing & Communications

Design, implementation, and verification of DSP and communication systems

MATLAB and Simulink provide DSP algorithm designers, system architects, and embedded hardware and software engineers with a comprehensive set of tools that address the challenges of shortened design cycles for systems with increasing complexity. With MATLAB and Simulink, you can:

• Develop digital signal processing (DSP) algorithms
• Model and simulate systems
• Automatically generate code for embedded DSPs, MCUs, GPPs, FPGAs, and ASICs
• Verify and validate your hardware and software implementations

Learn more about how you can achieve faster, more cost-effective development of embedded signal processing and communication systems using the Model-Based Design methodology with MATLAB and Simulink.

Digital Signal Processing and Communications Description Topics

• Executable Specifications from Models
• Algorithm Development and Analysis
• Design with Simulation
• Automatic Code Generation and Implementation
• Continuous Test and Verification

NEW MathWorks view of the typical DSP workflow

Demos
	Acoustic Noise Cancellation using the LMS algorithm		IEEE 802.11a WLAN physical layer model
	Design of a 3-band Parametric Equalizer		Video Surveillance System Design with Simulink and Xilinx FPGAs
	Pilot Directed Continuous Synchronization of OFDM		Sobel Edge Detection algorithm: Design and FPGA Implementation with Simulink
			All Demos

MATLABプロダクトファミリ– 信号処理・通信 806k

 Signal Processing and Communications Application Brochure 1224k