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
Visualizing and analyzing antenna radiation patterns
Normalized E-radiation pattern of a center-fed linear dipole antenna with sinusoidal current distribution on the z axis
Interactively determining system stability
Building a transfer function from a collection of poles (in red) and zeros (in blue) in the complex plane
Performing sophisticated signal processing in real time
Denoising a signal dynamically using the discrete wavelet transform
Using state-of-the-art image processing algorithms
Compressing an image via the singular value decomposition
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
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)
"What Mathematica allowed me to do was focus on each individual part of the problem, and then I throw it all to Mathematica and let it solve everything as a big system for me."
![[ja]](/common/images2003/lang_bottom_ja.gif)
![[es]](/common/images2003/lang_bottom_es.gif)