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Signal Processing Toolbox™ provides industry-standard algorithms for analog and digital signal processing (DSP). You can use the toolbox to visualize signals in time and frequency domains, compute FFTs for spectral analysis, design FIR and IIR filters, and implement convolution, modulation, resampling, and other signal processing techniques You can view and measure signals, design digital filters, and analyze spectral windows. Algorithms in the toolbox can be used as a basis for developing custom algorithms for audio and speech processing, instrumentation, and baseband wireless communications.
Command-line functions and objects are available in the following categories:
Discrete-time filter design, analysis, and implementation
Analog filter design, analysis, and implementation
Linear system transformations
Windowing functions
Spectral analysis and cepstral analysis
Transforms
Statistical signal processing
Parametric modeling
Linear prediction
Multirate signal processing
Waveform generation
Note For information on objects, see Object-Oriented Programming. |
A suite of interactive graphical user interfaces are available for
Filter design and analysis
Window design and analysis
Signal plotting and analysis, spectral analysis, and filtering
The Signal Processing Toolbox software supports only double-precision inputs. If you input single-precision floating-point or integer data, you should not expect to receive correct results, and in many cases, an error will occur. The DSP System Toolbox™ product, in conjunction with the Fixed-Point Toolbox™ product, enables single-precision floating-point and fixed-point support for filtering and filter design.
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