Embedded IDE Link CC 3.3
for TI’s Code Composer Studio

Product Description

• Introduction and Key Features
• Working with Embedded IDE Link™ CC
• Automating Verification and Debugging of Code
• Generating Code Composer Studio™ Projects from Simulink® Models

Automating Verification and Debugging of Code

Embedded IDE Link CC provides methods for automatically controlling, testing, and debugging Code Composer Studio applications using MATLAB. It enables you to perform register and memory exchange for programming and debugging control. For example, you can transfer data from memory locations in Code Composer Studio to the MATLAB workspace to:

• Create plots
• Calculate statistics
• Fit curves to data
• Perform signal processing and other post-processing operations to analyze and visualize your data

You can then transfer data into Code Composer Studio and run your algorithm with this test data on the processor. You can also use Embedded IDE Link CC for bidirectional, interactive data analysis from the MATLAB command window.

Embedded IDE Link CC supports XDS510 and XDS560 emulators for high-speed debugging so that you can visualize or integrate your embedded applications into your host-side simulations. RTDX and Embedded IDE Link CC provide a communications channel that enables you to exchange data in real time between MATLAB and your target processor while the target application is running. With the RTDX Simulation Block library you can test, verify, and validate your DSP code and compare its performance and results directly against the original reference model or design using system-level test benches in Simulink.

Embedded IDE Link CC utilizes the in-process communication and data transfer technology in Code Composer Studio. As a result, you can verify target DSP code and applications faster and quickly read and write large data sets from and to the target DSP. For example, an algorithm that contains 100 read operations of 32-bit integers, for a dataset containing 1024 values, performs 20 to 40 times faster with in-process communication than with traditional out-of-process communication.

Graphical test harness for a filtering application in MATLAB® (near left) resulting in three output graphs (far left). The graphs comprise a noisy signal input (top), a comparison of the outputs of filters executing in MATLAB and on a TI C6416 DSP (middle), and the computed spectra of the two outputs (bottom). Click on image to see enlarged view.

RTDX Simulation blocks for constructing Simulink® test benches. Click on image to see enlarged view.

Input test vector of a signal corrupted with noise serving as the input to an adaptive LMS filter through RTDX (left). The filtered output can be plotted (bottom) and the filter tap coefficients visualized in real time in MATLAB® (top) to quickly identify and fix design flaws or code errors. Click on image to see enlarged view.