Signal Processing Extension Pack

The Signal Processing Extension Pack, coupled with Mathcad 2001, provides a powerful design solution for iterative exploration and investigative analysis.

With its extensive signal processing, analysis and visualization capabilities, this Extension Pack is ideal for electrical design, DSP, audio, recording and research engineers, as well as 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, medicine and more. It is also a valuable tool for students studying electrical engineering.

This robust Mathcad add-on tool provides a total of over 70 built-in signal processing functions, including new 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 multi-channel and complex signals, and provides Window arguments for all filtering signals.

Mathcad’s easy-to-use environment is ideal for iterative exploration, investigative analysis and what-if scenarios. Plus, the Signal Processing Extension Pack builds upon Mathcad 2001’s superior technical design environment, so you can incorporate your signal processing work with publication-quality technical documents, graphs and presentations created in Mathcad.

This title is included in the Communication System Design (CSD) Pack.

System Requirements:

• Updated to be compatible with Mathcad 2001 and Mathcad 2001i.
• CD-ROM drive and Windows 95, 98, NT 4.0, 2000 or XP operating system.
• 5 Mb of hard disk space
  

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
  

Table of Contents

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