The Wolfram Solution forElectrical EngineeringPerform sophisticated image and signal processing, analyze and design algorithms, simulate interactive systems, and instantly deploy the dynamic applications—all in one system, with one integrated workflow. Underlying the Wolfram electrical engineering solution are powerful discrete- and continuous-time Fourier transforms, industrial-strength Boolean computation, and high-performance dense and sparse linear algebra algorithms, all combined with the reliability of powerful symbolic and numeric computation. |
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Mathematica and SystemModeler include thousands of built-in functions that let you:
- Model electrical power distribution systems
- Design and simulate human interface devices and electronic systems with mechanical subassemblies and control units
- Perform advanced signal and image processing
- Analyze communication systems using continuous-time frequency domain analysis techniques, including the Fourier transform
- Perform digital filtering using discrete-time frequency domain analysis techniques, including the Z-transform and discrete-time Fourier transform (DTFT)
- Analyze antenna radiation patterns
- Design and analyze filter circuits
Denoising a signal dynamically using the discrete wavelet transform
Modeling the different physical domains, such as electrical, thermal, and logical units in an electric kettle, with Wolfram SystemModeler
Does your current tool set have these advantages?
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Free-form linguistic input produces immediate results without the need for syntax
Unique to Mathematica -
Built-in functionality for solving local and global optimization problems, both numeric and symbolic, including constrained nonlinear optimization
Matlab requires extra-cost toolboxes -
Automatic, interactive interface construction to visualize your simulations, examine model sensitivity to parameter changes, and more
Unique to Mathematica -
Automated precision control and arbitrary precision numerics produce highly accurate results
Matlab and other systems that rely on finite precision numerics can cause serious errors due to lack of precision -
Symbolic as well as numeric calculations to manipulate numbers, equations, or pieces of code, improving accuracy or creating reusable models
Matlab's built-in routines only handle numeric calculations -
Highly optimized superfunctions analyze your equations and automatically select the right algorithms to get accurate results quickly—sometimes switching mid-calculation for further optimization
Non-Mathematica computation systems make you analyze your equations manually to determine which function to apply—for example, to solve a differential equation in Matlab, you must correctly choose among ode45, ode23, ode113, ode15s, bvp4c, pdepe, and so on, or risk wrong answers -
Excellent speeds for many different types of computations, including dense and sparse linear algebra operations
Matlab is significantly slower for many of these operations
Simulating pseudorandom correction trees
Interactively exploring the relationship between the difference in frequencies of the waveforms and the resulting beat frequency
Electrical engineering specific capabilities:
- Laplace transforms, z-transforms, and discrete- and continuous-time Fourier transforms in any number of dimensions for applications in signal processing, communications, circuit design, and more
- Integrated functionality for designing and analyzing control systems using classical and state-space techniques »
- Integrated wavelet analysis with discrete and continuous transforms and high-level support for thresholding and other operations »
- Automatic interface construction for interactive analysis of load flow systems, signal denoising algorithms, and more »
- Fast numerical linear algebra operations and high-performance sparse linear algebra routines enable efficient, large-scale data computations »
- Powerful local and global optimization, both numeric and symbolic, including constrained nonlinear optimization, interior point methods, and integer programming »
- Built-in connectivity to databases, web services, existing C++ code, Java, and .NET frameworks »
- State-of-the-art image processing capabilities »
- Symbolic manipulation and optimization of C code, and automatic C code generation for immediate use of standalone executables
- Load and access dynamic libraries, and use built-in support for GPU computation with CUDA or OpenCL for high-speed, memory-efficient execution
- Instant deployment of your interactive models using Wolfram CDF Player or webMathematica
- Control a LabVIEW application (Virtual Instrument, or VI) from within a Mathematica notebook or call the Mathematica kernel from within a LabVIEW VI using Mathematica Link for LabVIEW »
Wolfram SystemModeler is the most complete physical modeling and simulation tool for high-fidelity modeling. Capabilities include:
- Perform multiengineering simulation and model-based design of dynamic systems by simple drag and drop »
- Design and simulate real-world systems that exhibit rapid changes or discontinuities »
- Connect seamlessly with Mathematica for the ultimate integrated modeling, simulation, and analysis workflow.
Organizations Using Wolfram Technologies
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