DSP - Digital Signal Processing & Communications

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

Algorithm Development and Analysis

Creating fast, numerically accurate algorithms for your system design involves mathematical modeling and analysis and tasks such as filter design, filter analysis, signal analysis, and acquisition of measured data.

With MATLAB, the leading tool for algorithm design and analysis, you can interactively build these commands into complex programs. 2-D, 3-D, and specialized plotting routines help you understand your data visually, and you can quickly design graphical user interfaces (GUIs) as front ends to your application.

Specialized Toolboxes

Using specialized MATLAB toolboxes, you can develop algorithms and perform common signal and system analysis operations. These toolboxes include:

Communications Toolbox for designing and analyzing algorithms for the physical layer of communication systems

Control System Toolboxfor designing and analyzing controllers for dynamic closed-loop systems

Filter Design Toolbox for designing and analyzing fixed-point, adaptive, and multirate filters

Fixed-Point Toolbox for designing and verifying fixed-point algorithms and analyze fixed-point data

Image Processing Toolbox for image processing, analysis, and algorithm development

Optimization Toolbox to solve standard and large-scale optimization problems

RF Toolbox for designing and analyzing networks of RF components

Signal Processing Toolbox for signal processing, analysis, and algorithm development

Statistics Toolbox for applying statistical algorithms and probability models

Wavelet Toolbox for analyzing and synthesizing signals and images using wavelet techniques

Test & Measurement

You can also acquire measured data for testing algorithms and models. This task is simplified with the Data Acquisition Toolbox, Image Acquisition Toolbox, and Instrument Control Toolbox. The tools let you communicate with a variety of PC-compatible data acquisition hardware and test and measurement instruments, such as oscilloscopes and function generators, directly from MATLAB.

Algorithms that are developed in MATLAB can be incorporated into Simulink for Model-Based Design. You can use MATLAB throughout the development process to systematically test and analyze simulation results from Simulink and verify hardware and software implementation.