Signal Processing Toolbox™ 6.9

Product Description

• Signal Processing Toolbox Key Features
• Signal and Linear System Models
• Digital Filter Design Methods
• Transforms
• Spectral Analysis Tools
• GUIs for Filter Design, Analysis, and Visualization

GUIs for Filter Design, Analysis, and Visualization

The GUIs in the Signal Processing Toolbox let you interactively view and measure signals, design and apply filters, design and analyze spectral windows, and perform spectral analysis while exploring the effects of different parameters and methods. The GUIs are particularly useful for visualizing time-frequency information, spectra, and pole-zero locations. For example, you can interactively design a filter by graphically placing the poles and zeros in the z-plane.



Magnitude response of the specified digital filter, created using FVTool. Data markers are used to determine the frequency and magnitude values of any chosen data point. Click on image to see enlarged view.

The Signal Processing Toolbox provides four GUIs: FDATool, FVTool, SPTool, and WINTool.

FDATool provides access to most FIR and IIR filter design methods in the toolbox. Additionally, you can:

• Design filters by graphically placing poles and zeros in the z-plane
• Analyze filters by examining magnitude, phase, impulse, and step responses, group delay, and pole-zero plots
• Examine filter responses in a separate window
• Import previously designed filters and filter coefficients stored in the MATLAB workspace and export filter coefficients
• Access additional filter design methods and quantization features in the Filter Design Toolbox (available separately)

FVTool lets you view the characteristics of a designed or imported filter, including its magnitude response, phase response, group delay, pole-zero plot, impulse response, and step response.

SPTool provides access to signal, filter, and spectral analysis functions. You can:

• Measure and analyze the time-domain information of one or more signals and send audio signal to the PC's sound card
• Design and edit FIR and IIR filters of various lengths and types and with standard configurations
• View the characteristics of a designed or imported filter, including its magnitude response, phase response, group delay, pole-zero plot, impulse response, and step response
• Apply the filter to a selected signal
• Graphically analyze frequency-domain data using a variety of spectral estimation methods, including Burg, FFT, multitaper (MTM), MUSIC, eigenvector, Welch, and Yule-Walker AR

WINTool lets you design and analyze spectral windows. You can:

• Display time-domain and frequency-domain representations of the selected window(s)
• Export window vectors or window objects to the MATLAB workspace, a MAT-file, or a text file
• View typical window measurements, such as leakage factor, relative sidelobe attenuation, and mainlobe width
• Visualize, annotate, and print time- and frequency-domain plots

The Window Viewer in WINTool displays the time-domain and frequency-domain representations of multiple windows for easy comparison. Click on image to see enlarged view.