Mathematica Solution for Electrical Engineering

Perform 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 Mathematica 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.

Computing a discrete-time Fourier transform using built-in functions

Spectrum of a DTFT sequence, with color indicating the phase

Key Capabilities

Why Choose Mathematica

Ways to Use

Mathematica includes thousands of built-in functions for computation, modeling, visualization, development, and deployment »
Electrical engineering specific capabilities:
High-performance Laplace, z-, 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 »
Industrial-strength Boolean computation including state-of-the-art Boolean function transformation, minimization, satisfiability, and more for verification, testing, and other applications involving thousands of variables »
Automatic interface construction for interactive analysis of load flow systems, signal de-noising 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 »
High-performance computing using a combination of multicore computing, 64-bit technology, and built-in parallel processing
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 »
Model artificial neural networks using the Neural Networks application package »
Perform multiengineering simulation and model-based design for dynamic systems by simple drag and drop using the MathModelica application package »
Design and simulate dynamic feedback and control systems, digital filters, and discrete-time (digital) and continuous-time (analog) systems with the SchematicSolver application package »
Describe linear and nonlinear circuits and control systems by means of hierarchical netlists using the Analog Insydes application package »
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Why Choose Mathematica

Key Capabilities

Why Choose Mathematica

Ways to Use

Compare Mathematica to your current tools. Do they have these advantages?
Free-form linguistic input produces immediate results without the need for syntax »
Competitor note: Unique to Mathematica
Built-in functionality for solving local and global optimization problems, both numeric and symbolic, including constrained nonlinear optimization »
Competitor note: Matlab requires extra-cost toolboxes
Automatic, interactive interface construction to visualize your simulations, examine model sensitivity to parameter changes, and more »
Competitor note: Unique to Mathematica
Automated precision control and arbitrary precision numerics produce highly accurate results »
Competitor note: 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
Competitor note: 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 »
Competitor note: Non-Mathematica computation systems make you analyze your equations manually to determine which function to apply—e.g., 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 »
Competitor note: Matlab is significantly slower for many of these operations
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Ways to Use

Key Capabilities

Why Choose Mathematica

Ways to Use

Modeling electrical power distribution systems
Designing and analyzing a filter circuit
Analyzing communication systems using continuous-time frequency domain analysis techniques, including the Fourier transform
Digital filtering applications using discrete-time frequency domain analysis techniques, including the Z-transform and discrete-time Fourier transform (DTFT)
Analyzing antenna radiation patterns

Advanced signal and image processing applications
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Key Capabilities