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Description
Taking signals and systems? Then you need the Wolfram Signals & Systems Course Assistant. This app for signals and systems will provide homework help and give answers to your specific complex numbers and functions, time domain properties, convolutions, Fourier analysis, Laplace transform, and transfer function problems. This app covers the following tasks applicable to a college-level signals and systems engineering course: - Perform analysis on complex numbers and complex functions - Calculate the step response, sinusoidal response, and signal energy and other time domain properties - Perform convolutions of continuous and discrete normal or piecewise functions - Compute continuous Fourier analysis, including Fourier series, coefficient, and transforms - Perform discrete Fourier analysis, including discrete time Fourier transforms - Calculate Laplace and Z transforms Find responses, poles, and zeros of transfer functions The Wolfram Signals & Systems Course Assistant is powered by the Wolfram|Alpha computational knowledge engine and is created by Wolfram Research, makers of Mathematica—the world's leading software system for mathematical research and education. The Wolfram Signals & Systems Course Assistant draws on the computational power of Wolfram|Alpha's supercomputers over a 3G, 4G, or Wi-Fi connection.
What's New
Version 1.3.1 2017-08-28
This app has been updated by Apple to display the Apple Watch app icon. - Bug fixes Technical Analysis
Package Overview Basic metadata
Bundle ID
com.wolframalpha.sigsys Current Version 1.3.1
Minimum iOS 9.3
Package Size App Store Size
Package Metadata 0 / 2 version records
3.5 / 5.0 (2 ratings)
Detailed binary, privacy manifest, framework, and Info.plist results have not been indexed for this package yet. The verified App Store and archive metadata above remains available.
Developer Information
Known Version Records
0 version records with stored package metadata • 2 known version records
Stored metadata does not guarantee a package is currently available to download.
| Details | Version / IDs | Version date | Action |
|---|---|---|---|
| Not archived | App Store ID: 841419934 | Unknown | Paid / Arcade |
| Not archived | App Store ID: 11515643 | Unknown | Paid / Arcade |