Signal Processing Blockset 6.8

Product Description

• Introduction and Key Features
• Working with the Signal Processing Blockset
• Modeling and Simulation
• Using Floating-Point and Fixed-Point Data Types
• Generating and Optimizing C Code
• Validating and Verifying Models

Introduction

The Signal Processing Blockset extends the Simulink environment with efficient frame-based processing and blocks for designing, implementing, and verifying signal processing systems. The blockset enables you to model streaming data and multirate systems in communications, audio/video, digital control, radar/sonar, consumer and medical electronics, and other numerically intensive application areas.

The Signal Processing Blockset offers a range of signal processing techniques, including transforms, buffering, digital filtering, spectrum estimation, and linear algebra, enabling you to design and simulate real-time systems without low-level programming. The blockset also includes signal sources and interactive scopes, spectrum analyzers, and other tools for visualizing signals and validating simulation results.

You can generate efficient C code from the Signal Processing Blockset using Real-Time Workshop (available separately). When used with Simulink Fixed Point (also available separately), most blocks support fixed-point data types.

A model incorporating spectral estimation methods available in the Signal Processing Blockset. Click on image to see enlarged view.

Key Features

• Support for simulating frame-based and sample-based multichannel and multirate systems with floating-point and fixed-point data types
• Transform blocks (FFT and DCT), spectrum estimation blocks, and window functions
• Blocks for designing and realizing digital filters
• Adaptive filters (RLS, LMS, and Kalman) and multirate filters (FIR decimation/interpolation and discrete wavelet transform)
• Blocks for estimating linear prediction parameters and converting between representations, such as reflection parameters and line spectral pairs or frequencies
• Math library, including matrices, and linear algebra, convolution, and polynomial functions
• Blocks for min, max, median, correlation, sort, histogram, and other statistical operations
• Sources (sine and random) and sinks for importing and exporting data to and from the MATLAB workspace
• Fixed-point support with overflow, min/max, and autoscaling
• Optimized blocks for automatically generating ANSI/ISO C code for use in embedded systems or accelerating large-scale simulations