Real-Time Real-Time DDigital igital SSignal ignal PProcessing Lab Developmentrocessing Lab Development using Matlab, Simulink, and the TI TMS320C6711 DSKusing Matlab, Simulink, and the TI TMS320C6711 DSK

David Rolando & Jonathan Kellerman Graduate Advisor: William Luh Faculty Advisor: Dr. Deepa Kundur

Filtering Filtering 11

Filtering Filtering 11

Audio ApplicationsAudio ApplicationsAudio ApplicationsAudio Applications Image Image ProcessingProcessing

Lab 1: Intro to DSPLab 1: Intro to DSPIntroduction to Matlab and Simulink environmentsFIR filters and Direct-form RealizationsNon-real-time simulations

Lab 2: Filter Design Lab 2: Filter Design

Figure 1: Parallel FIR Filters

PurposePurposePurposePurpose

Figure 2: 1-D Haar Wavelet Transform

Matlab’s Filter Design and Analysis ToolReal-time Simulation on host computer using Real-Time Target for Windows Simple Wavelet Transform

Filtering 2Filtering 2Filtering 2Filtering 2Lab 3: On-board FilteringLab 3: On-board Filtering Lab 4: FFT ConvolutionLab 4: FFT Convolution

Lab 5: Audio Lab 5: Audio EqualizerEqualizerDesign of 5-band audio equalizer

Real-time host-to-target communication using RTDX4 kHz total bandwidth

Lab 6: Equalizer GUILab 6: Equalizer GUIIntroduction to Matlab’s Graphical User Interface Design Environment (GUIDE)GUI Programming in MatlabReal-time host-to-target communication using a GUI interface

Figure 6: 5-band Equalizer Figure 7: Equalizer GUI

Introduction to Simulink’s Target for TI C6000 BlocksetIntroduction to TI’s Code Composer Studio 3.1Linking Matlab and Code Composer StudioImplementation of an IIR filter on the board’s hardwareReal-time control using manual switches on the board

Figure 3: IIR Noise Filtering

Frequency domain implementation of long FIR filter kernelsApplication of multiplication-convolution dualityPractical use of the Fast Fourier TransformFrame-based ProcessingOverlap-add algorithmOverlap-save algorithm

Figure 4: Overlap-Save Filtering

Lab 7: Audio EffectsLab 7: Audio EffectsReverberationFlanging effectChorus effectUpsamplingDownsamplingNon-real-time testing and real-time implementation

Figure 9: Non-Integer Upsampling (“Darth Vader

voice”)

Lab 8: SynthesizerLab 8: SynthesizerCombination of audio effects into SynthesizerSubsystem designModification of audio effect implementations for RTDX compatibility

Figure 11: Flanging Effect

Figure 12: Reverberation

Figure 13: Synthesizer

Lab 9: Synthesizer Lab 9: Synthesizer GUIGUI

Programming a GUI to control the Lab 8 SynthesizerAdvanced Button Panel Implementation

Figure 14: Synthesizer GUI

Lab 10: Face Lab 10: Face RecognitionRecognitionFeature extraction using edge

detectionImage registration through translation and rotationStatistical comparison techniques

Figure 16: Edge Detection of the Anchor Image (Left) and the Target Image (Right)

Development of a Real-Time DSP lab curriculum for ELEN 448Interface Matlab, Simulink, Code Composer Studio, and the TI TMS320C6711 DSKDevelop all DSP algorithms at a high level in SimulinkImplement DSP algorithms in non-real-time, in real-time on the host computer, and in real-time on the C6711 boardUse host-to-target communication for immediate optimization

ObjectivesObjectivesObjectivesObjectivesDevelop all of the models and code for each labAid in writing the lab manual

Figure 15: Face Recognition Algorithm

Figure 8: Chorus Effect

Figure 10: Downsampling

Figure 5: Overlap-Add Filtering

Acknowledgements: Matlhworks Help Page- http://www.mathworks.com/products/product_listing/index.html