High-Performance Image Processing in MATLAB

The new MATLAB Desktop and Simulink Editor are available in MATLAB and Simulink R2012b. View this issue online. September 2012 Subscribe Share this Contact us New Features for High-Performance Image Processing in MATLAB Automating Electron Beam Free Form Fabrication with MATLAB Windpower Engineering & Development: Wind News: Utility models wind plants and hydro to spot integration problems manroland Develops High-Precision Commercial Printing Press Controller Watch video MathWorks Automotive Conference 2012 now on demand Watch videos MATLAB Central Community Highlights Books MATLAB Programming Contest October 31 - November 7 Can your MATLAB program solve this season's problem? Popular Utilitiy Functions for 3D Graphics and Data on File Exchange 1 geom3d – Create and Manipulate 3D Shapes 2 polarplot3d – Surface, Mesh, Wireframe and Contour Plots for 3D Data 3 ReadData3D – Read Data from Different Medical 3D Files 4 plot2svg – Convert 3D Plots to Scalable Vector Graphics Format 5 matlab2tikz – Convert 3D MATLAB Plots to TikZ Format Handbook of Position Location: Theory, Practice, and Advances MATLAB Programming with Applications for Engineers Browse more than 1400 titles Featured Products R2012b introduces major new updates to MATLAB and Simulink, including a new MATLAB Desktop and Simulink Editor Try MathWorks products DPO/DSA/MSO70000 Series Oscilloscopes from Tektronix Performance oscilloscopes capable of performing waveform analysis using MATLAB Upcoming Events and Training Webinars Control Logic Made Easy with Stateflow On demand Best Practices for Verification and Validation On demand Implementing MATLAB Algorithms in FPGAs and ASICs On demand View all live webinars Seminars Design and Verify Control Systems using MATLAB and Simulink 25 Sep 2012   Bangalore MATLAB & Simulink for Engineering Education 9 Oct 2012   Jaipur Designing and Implementing Control Systems, Signal Processing and Video Processing Systems using MATLAB and Simulink 10 Oct 2012   Pune View all seminars Training Statistical Methods in MATLAB 15-16 Oct 2012   Bangalore MATLAB Based Optimization Techniques 17 Oct 2012   Bangalore Stateflow for Logic-Driven System Modeling 18-19 Oct 2012   Bangalore MATLAB Fundamentals 5-7 Nov 2012   Online View all training courses

Designing and Implementing Signal Processing, Video Processing and Communication Systems using MATLAB and Simulink

11 Sep 2012
10 am to 2.45 pm
Sapphire Ballroom, Hyderabad Marriott Hotel & Convention Centre, Hyderabad

Designing complex, next generation signal processing, video processing and communications products in shortened design cycles magnifies the need for continuity in design methods. Gaps in design flows result in sub-optimal system designs, negatively impact project schedules and ultimately deplete project budgets.

Join us for this free seminar to learn about how the new capabilities in MATLAB and Simulink – like System Toolboxes in MATLAB, automatic C code generation from MATLAB, and HDL code generation and FPGA-in-loop verification using Simulink – can help engineers improve overall design flow efficiency and signal processing and communications systems performance.

MathWorks engineers will use several examples to demonstrate the following:

• Simplify the system design process by using high-level function libraries provided by System Toolboxes in MATLAB
• Run efficient system simulations by leveraging stream processing to reduce scheduling overhead and speed up simulations
• Reuse algorithmic level system designs created in MATLAB and Simulink to analyze the effects of hardware constraints on data types by converting floating-point algorithms to fixed-point and running verification suites
• Reduce design cycle time through early prototyping and maintain design flow continuity by using automatic C and HDL code generation technologies
• Reduce verification effort by reusing test benches from the algorithmic stage through to hardware-in-loop / FPGA-in-loop stage

Who Should Attend

Target audience:This seminar is recommended to anyone designing or implementing Signal Processing, Video Processing and Communications Systems on DSPs and FPGAs

• Algorithm Designers
• System Engineers
• Signal Processing Engineers
• Video System Engineers
• Communications System Engineers
• Embedded Software Engineers
• FPGA Designers
• Test and Verification Engineers

Prior knowledge of MathWorks products is not required.

Please note this Seminar is not designed for students.  If you are a student, please do not register for this seminar.

Register now

Invite a Colleague

Register for this free seminar.

Agenda
09:30- 10:00	Registration
10:00-10:15	Welcome Address
10:15-11:30	Addressing System Design Challenges with Model-Based Design Signal Processing, Video Processing and Communication System Design with MATLAB and Simulink MATLAB Capabilities for System Design Modeling and Simulation Handling Large Datasets
11:30 -12:00	Break
12:00 -13:30	From MATLAB to C : Bridging the Gap Between Algorithm Design and Implementation Fixed Point Design in MATLAB Automatic C-code Generation from MATLAB Optimizing the Generated Code for Target Platforms Implementing Algorithms on FPGAs and ASICs Automatic HDL Code Generation from MATLAB, Simulink, and Stateflow Integrated HDL Verification FPGA-in-the-Loop Verification
13:30 -13:45	Wrap up
13:45 – 14:45	Lunch

Register now

Invite a Colleague

Register for this free seminar.

MATLAB to C Made Easy

MATLAB to C Made Easy

21 Jun 2012
3:00 PM IST (India Standard Time)

In this webinar we demonstrate the workflow for generating readable and portable C code from your MATLAB algorithms using MATLAB Coder. Using the command line approach or the graphical project management tool, you can introduce implementation requirements to you algorithms written in MATLAB and generate readable source code, or a standalone compiled executable or a library that can be shared across your organization.

MathWorks engineers also explore how you can automatically generate MEX functions that can be used to verify the behavior of the generated code back in MATLAB or to accelerate computationally intensive portions of your MATLAB code by running it at compiled speed.

REGISTER now

Invite a Colleague

Register for this webinar.

We look forward to seeing you online on Thursday, the 21st of June, 2012.

Regards, Marketing Programs MathWorks India