Signal
Processing Extension Pack
Examples
The Signal Processing Extension Pack provides a powerful design solution
for iterative exploration and investigative analysis. Complete with extensive
signal processing, analysis, and visualization capabilities, this Extension
Pack is ideal for electrical design, DSP, audio, recording, and research
engineers. It is also valuable for other engineers and scientists involved
in a broad range of signal processing applications, in industries such as
telecommunications, test and instrumentation, manufacturing, defense, control
systems, home entertainment, medicine, and more. Students of electrical
engineering will also enjoy the benefits of signal processing functions.
This robust Mathcad add-on tool provides a total of over 70 built-in
signal processing functions. Among the highlights of this new version
is added functionality in signal filtering, spectral analysis, time-frequency
analysis, and spectral estimation. In addition, new Visual Basic application
examples illustrate how to use Visual Basic scripting with Mathcad for
signal processing applications. The Extension Pack also gives you full
support for multichannel and complex signals, and provides Window arguments
for all filtering signals. And because the Extension Pack becomes part
of your Mathcad desktop, you can use it to create publication-quality
technical documents, graphs and presentations.
FUNCTIONALITY HIGHLIGHTS
- Analog and Digital Signals and System Analysis
- Audio WAVE files (New!)
- Convolution and Correlation
- FFT and IFFT Fast Fourier Transforms and Inverses
- FIR and IRR Filter Design
- Harlety, Walsh, and Hilbert Transforms
- Joint Time-Frequency Analysis
- Lowpass Filtering
- Signal Filtering (More!)
- Filtfilt function
- Multirate function
- Median filtering
- Spectral Analysis (More!)
- Real and complex cepstrum
- New signal windowing functions
- MUSIC method for spectrum estimation
- Time Frequency Analysis (New!)
- Short-time Fourier transform
- Common BTFRs
- Time-dependent autocorrelation
- Time Series Analysis
CHAPTERS
Section 1 - Signals
- About Mathcad Electronic Books
- Introduction to Image Processing in Mathcad
- Reading and Writing Images
- The Mathcad Image Viewer
Section 2 - Fast Fourier Transform
- FFTs: An Introduction
- The Forward Transformation CFFT
- The Inverse Transformation ICFFT
- FFT and IFFT
- Lower-Case FFT Functions
- Lowpass Filtering Using the FFT
- Filtering vs. Exponential Smoothing
- Filtering an Image
Section 3 - Spectral Analysis
- Signal Windowing
- Spectral Analysis
- Cepstrum Function
- Recenter Function
- The Chirp z-Transform
- MUSIC Method for Spectral Estimation
Section 4 - Digital Filtering
- Filter Gain
- Time Response of Digital Filters
- FIR Filter Design
- FIR Filters by Remez Exchange
- IIR Filter Design
- Zero-Phase Filtering
- Group Delay
- Interpolation and Resampling
Section 5 - Time Series Analysis
- Smoothing
- Linear Detrending
- Linear Prediction Methods
- Correlation and Partial Autocorrelation
Section 6 - Additional Transforms
- The Hartley Transform
- Sine and Cosine Transforms
- The Walsh Transform
- The Hilbert Transform
- Two-Dimensional Convolution
Section 7 - Joint Time-Frequency Analysis
- The Short-Time Fourier Transform
- Time-Frequency Representations and Local Autocorrelation
- The Discrete Wavelet Transform
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