DSP and communications engineers face many challenges in developing their applications. For example, as vendors push to make faster and more powerful chips, the resulting hardware is often incompatible with its software code. DSP software designers working with new chip architectures or new performance characteristics are finding that the code is not reusable. With significant legacy code and intellectual property lost, the engineer is faced with the time-consuming task of rewriting code multiple times throughout the design process.

Meeting the escalating demand for higher performance, lower cost, and faster delivery of products requires flawless coordination among specialized development teams. MATLAB DSP Design System offers a highly integrated alternative to traditional tools and fragmented processes, making it easy for design teams to work together. Because Simulink models are portable across PC and UNIX platforms, every engineer gets a consistent view of the design and a clear, executable specification for each hardware and software component.

Understanding these challenges, The MathWorks has created a single open environment for algorithm exploration, development, simulation and implementation.Unlike competing approaches, the new MathWorks' DSP Workshop accelerates the development of DSP software by tightly integrating algorithm simulation and prototype implementation. The DSP Workshop enables you to complete challenging DSP designs and evaluate implementation trade-offs much earlier in the development process. Unlike chip-specific development tools and implementation-centric simulation environments, The MathWorks' solution shortens your development time because designs can be rapidly modified and tested, and are fully portable from one hardware environment to another.

The DSP Workshop consists of a suite of tools: MATLAB, Simulink, the DSP Blockset, and the Signal Processing Toolbox. The Real-Time Workshop and Communications Toolbox are optional components.

The bundled solution creates the robust and flexible environment that today's DSP engineer requires. Giving access to both language-based and block diagram capabilities, it helps to develop complex algorithms in a fraction of the time that it takes to create them with C code.





MATLAB
Signal Processing Toolbox
Filter Design Toolbox
Wavelet Toolbox
Communications Toolbox
Control System Toolbox



Simulink
Stateflow
DSP Blockset
Communications Blockset
CDMA Reference Blockset
Fixed-Point Blockset



Developer's Kit for TI DSP
Real-Time Workshop
Motorola DSP Developer's Kit
xPC Target

For more information on MATLAB DSP & Communication :

E-mail : This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Contact : +91-80-2381740 / 1 / 2