| DSP Blockset |
 |
- Welcome to the DSP Blockset
- What Is the DSP Blockset?
- Key Features
- Frame-Based Operations
- Matrix Support
- Adaptive and Multirate Filtering
- Statistical Operations
- Linear Algebra
- Parametric Estimation
- Real-Time Code Generation
- What Is in the DSP Blockset?
- Related Products
- Getting Help with the DSP Blockset
- Using This Guide
- Getting Help Online
- How to Run Examples in the MATLAB Help Browser
- Running Example Code in the MATLAB Help Browser
Without Retyping It
- Running Example Models with the Click of the Mouse
- Technical Conventions
- Signal Dimension Nomenclature
- Matrices
- Vectors
- Arrays
- Frame-Based Signal Nomenclature
- Sampling Nomenclature
- Typographical Conventions
- Installing DSP Blockset
- What Is Simulink?
- Starting Simulink
- Simulink on PC Platforms
- Simulink on UNIX Platforms
- The Simulink Libraries
- Getting Started with Simulink
- Model Definition
- Model Simulation
- Tunable Parameters
- How to Tune Tunable Parameters
- Tunability in Simulation, Accelerator, and External
Mode
- Running a Simulation from an M-File
- Learning More About Simulink
- Signal Concepts
- Discrete-Time Signals
- Time and Frequency Terminology
- Discrete-Time Signals in Simulink
- Recommended Settings for Discrete-Time Simulations
- Additional Settings for Discrete-Time Simulations
- Cross-Rate Operations in Variable-Step and Fixed-Step
SingleTasking Modes
- Example: Cross-Rate Operations
- Sample Time Offsets
- Continuous-Time Signals
- Source Blocks
- Continuous-Time Source Blocks
- Discrete-Time Source Blocks
- Nonsource Blocks
- Discrete-Time Nonsource Blocks
- Continuous/Discrete Nonsource Blocks
- Multichannel Signals
- Sample-Based Multichannel Signals
- Frame-Based Multichannel Signals
- Benefits of Frame-Based Processing
- Accelerating Real-Time Systems
- Accelerating Simulations
- Sample Rates and Frame Rates
- Sample Rate and Frame Rate Concepts
- Inspecting Sample Rates and Frame Rates
- Using the Probe Block to Inspect Rates
- Probe Block Example: Sample-Based
- Probe Block Example: Frame-Based
- Using Sample Time Color Coding to Inspect Sample Rates
- Sample Time Color Coding Example: Sample-Based
- Sample Time Color Coding Example: Frame-Based
- Converting Sample Rates and Frame Rates
- Direct Rate Conversion
- Rate Conversion Blocks
- Example: Rate Conversion by Frame-Rate Adjustment
- Example: Rate Conversion by Frame-Size Adjustment
- Frame Rebuffering
- Buffering Blocks
- Buffering with Preservation of the Signal
- Example: Buffering with Preservation of the Signal
- Buffering with Alteration of the Signal
- Example: Buffering with Alteration of the Signal
- Avoiding Unintended Rate Conversions
- Example 1: No Rate Conversion
- Example 2: Unintended Rate Conversion
- Changing Frame Status
- Creating Signals
- Creating Signals Using Constant Blocks
- Example: Creating Signals with the DSP Constant Block
- Creating Signals Using Signal Generator Blocks
- Example: Creating Signals with the Sine Wave Block
- Creating Signals Using the Signal From Workspace Block
- Example 1: Generating Sample-Based Output
- Example 2: Generating Frame-Based Output
- Constructing Signals
- Constructing Multichannel Sample-Based Signals
- Constructing Sample-Based Multichannel Signals
from Independent Sample-Based Signals
- Example: Concatenating Single-Channel Signals
- Constructing Sample-Based Multichannel Signals
from Existing Sample-Based Multichannel Signals
- Example: Concatenating Multichannel Signals
- Constructing Multichannel Frame-Based Signals
- Concatenating Independent Frame-Based Signals
into Multichannel Signals
- Example: Concatenating Frame-Based Signals
- Buffering Sample-Based and Frame-Based Signals
- Example: Buffering Sample-Based Signals without
Overlap
- Overlapping Buffers
- Example: Buffering Sample-Based Signals with Overlap
- Example: Buffering Frame-Based Signals with Overlap
- Buffering Delay and Initial Conditions
- Deconstructing Signals
- Deconstructing Multichannel Sample-Based Signals
- Deconstructing a Sample-Based Multichannel Signal
into Multiple Independent Signals
- Example: Deconstructing to Independent Signals
- Deconstructing a Sample-Based Multichannel Signal
into a Related Multichannel Signal
- Example: Deconstructing to a Multichannel Signal
- Deconstructing Multichannel Frame-Based Signals
- Splitting a Multichannel Signal into Individual Signals
- Example: Splitting a Multichannel Frame-Based Signal
- Unbuffering a Frame-Based Signal into a Sample-Based
Signal
- Example: Unbuffering a Frame-Based Signal
- Reordering Channels in a Frame-Based Multichannel
Signal
- Importing Signals
- Importing a Multichannel Sample-Based Signal
- Importing a Sample-Based Vector Signal
- Example: Importing a Sample-Based Vector Signal
- Importing a Sample-Based Matrix Signal
- Example: Importing a Sample-Based Matrix Signal
- Importing a Multichannel Frame-Based Signal
- Importing a Frame-Based Signal with
the Signal From Workspace Block
- Example: Importing a Frame-Based Signal
- Importing WAV Files
- Exporting Signals
- Exporting Multichannel Signals
- Exporting a Sample-Based Signal Using the To Workspace
Block
- Example: Exporting a Sample-Based Matrix Signal
- Exporting a Frame-Based Signal
Using the To Workspace Block
- Example: Exporting a Frame-Based Signal
- Exporting and Playing WAV Files
- Viewing Signals
- Displaying Signals in the Time-Domain
- Example: Displaying Time-Domain Data
- Improving the Appearance of the Display
- Displaying Signals in the Frequency-Domain
- Example: Displaying Frequency-Domain Data
- Displaying Matrices
- Example: Displaying Matrices
- Delay and Latency
- Computational Delay
- Reducing Computational Delay
- Algorithmic Delay
- Zero Algorithmic Delay
- Example: Zero Algorithmic Delay
- Zero Algorithmic Delay and Algebraic Loops
- Basic Algorithmic Delay
- Example: Basic Algorithmic Delay
- Excess Algorithmic Delay (Tasking Latency)
- Simulink Tasking Mode
- Block Rate Type
- Model Rate Type
- Block Sample Mode
- Predicting Tasking Latency
- Example: Nonzero Tasking Latency
- Example: Zero Tasking Latency
- Three Main Filter Blocks
- C Code Generated from Filter Blocks
- Topics Covered
- Designing, Analyzing, and Implementing Filters
- Topics Covered
- Related Topics
- Choosing Between Digital Filter Design Block and Filter
Realization Wizard
- Similarities
- Differences
- When to Use Each Block
- Filter Design, Analysis, and Implementation with the Digital
Filter Design Block
- Filter Design and Analysis
- Filter Implementation
- Saving, Exporting, and Importing Filters
- Examples and Related Topics
- Example: Using the Digital Filter Design Block to Design,
Analyze, and Implement a Filter
- Step 1 -- Get Necessary Blocks
- Step 2 -- Design the Lowpass Filter and Select a Filter
Structure
- Step 3 -- Design the Highpass Filter and Select a Filter
Structure
- Step 4 -- Set the Rest of the Blocks' Parameters and
Connect the Blocks
- Step 5 -- Set Simulation Parameters and Run the
Model
- Step 6 -- Set the Vector Scope Display Colors
- Step 7 -- Change the Filter While the Simulation Runs
- Example: Saving, Importing, and Exporting Filters
- Saving an FDATool Filter Design Session
- Importing a Filter to FDATool
- Exporting a Filter from FDATool
- Filter Analysis and Design with Other MathWorks Products
- Implementing Predesigned Filters
- Examples and Other Related Topics
- Implementing Predesigned Filters with the Digital Filter
Block
- Required Filter Parameters for Using the Digital Filter
Block
- Related Topics
- Example: Using the Digital Filter Block to Implement a
Predesigned Filter
- Step 1 -- Get the Coefficients of the Predesigned Filters
- Step 2 -- Get Necessary Blocks
- Step 3 -- Set the Lowpass Digital Filter Block
Parameters
- Step 4 -- Set the Highpass Digital Filter Block
Parameters
- Step 5 -- Set the Rest of the Blocks' Parameters and
Connect the Blocks
- Step 6 -- Set Simulation Parameters and Run the
Model
- Step 7 -- Set the Vector Scope Display Colors
- Multirate Filters
- Multirate Filtering Demos
- Opening Demos
- Adaptive Filters
- Adaptive Filtering Demos
- Opening Demos
- Analog IIR Filters
- Using the FFT and IFFT Blocks
- Example: Using the FFT Block
- Example: Using the IFFT Block
- Statistics
- Basic Operations
- Example: Sliding Windows
- Running Operations
- Power Spectrum Estimation
- Linear Algebra
- Solving Linear Systems
- Example: LU Solver
- Factoring Matrices
- Example: LU Factorization
- Inverting Matrices
- Example: LU Inverse
- Blocks -- By Category
- DSP Sinks
- DSP Sources
- Estimation
- Linear Prediction
- Parametric Estimation
- Power Spectrum Estimation
- Filtering
- Adaptive Filters
- Filter Design, Analysis, and Implementation
- Multirate Filters
- Math Functions
- Math Operations
- Matrices and Linear Algebra
- Linear System Solvers
- Matrix Factorizations
- Matrix Inverses
- Matrix Operations
- Polynomial Functions
- Platform-Specific I/O
- Windows (WIN32)
- Quantizers
- Signal Management
- Buffers
- Indexing
- Signal Attributes
- Switches and Counters
- Signal Operations
- Delaying
- Padding
- Resampling
- Miscellaneous Operations
- Statistics
- Transforms
- Blocks -- Alphabetical List
- Sample-Based Operation
- Frame-Based Operation
- Equations for Output Computation
- Output Computation Method for Linear, Quadratic, and
Logarithmic Frequency Sweeps
- Output Computation Method for Swept Cosine
Frequency Sweep
- Swept Cosine Instantaneous Output Frequency at the
Target Time is not the Target Frequency
- Swept Cosine Output Frequency Content May Greatly
Exceed Frequencies in the Sweep
- Example 1: Setting a Final Frequency Value for
Unidirectional Sweeps
- Example 2: Bidirectional Sweeps
- Example 3: When Sweep Time is Greater Than Target
Time
- Example 4: Output Sweep with Negative Frequencies
- Example 5: Output Sweep with Frequencies Greater
Than Half the Sampling Frequency
- Valid Input to Multiply
- Valid Reset Signal
- Output Characteristics
- Multiplying Along Channels of Frame-Based Inputs
- Multiplying Along Channels of Sample-Based Inputs
- Resetting the Cumulative Product Along Channels
- Valid Input to Sum
- Valid Reset Signal
- Output Characteristics
- Summing Along Channels of Frame-Based Inputs
- Summing Along Channels of Sample-Based Inputs
- Resetting the Cumulative Sum Along Channels
- Tuning the Filter Coefficient Values During Simulation
- Setting the Coefficient Update Rate
- Providing Filter Coefficient Vectors at Block Input
Ports
- Removing the 1/a0 Term in the Filter Structure
- Zero Latency
- Nonzero Latency
- Wavelets
- Demos
- Valid Inputs for Input = Single port
- Valid Inputs for Input = Multiple ports
- Description of Bit-Reversed Ordering
- Use of Outputs in Bit-Reversed Order
- Valid Inputs
- Corresponding Outputs
- What is Considered an Independent Channel
- Zero Latency
- Nonzero Latency
- Zero Latency
- Nonzero Latency
- Resetting the Running Histogram
- Fixed Initial Conditions
- Time-Varying Initial Conditions
- Fixed Initial Conditions
- Time-Varying Initial Conditions
- Example of Clipping
- Notable Input and Output Properties
- What Invalid Outputs Look Like
- Parameters for Handling Invalid Inputs and Outputs
- Root Finding Method
- Resetting the Running Maximum
- Resetting the Running Mean
- Resetting the Running Minimum
- Valid Overwriting Values
- Specifying Initial Seeds for Real Outputs
- Specifying Initial Seeds for Complex Outputs
- Zero Latency
- Nonzero Latency
- Resetting the Running RMS
- Example 1: Sample-Based Inputs
- Example 2: Frame-Based Inputs
- Trigonometric Fcn
- Table Lookup
- Differential
- Resetting the Running Standard Deviation
- Valid Sample-Based Inputs
- Sample-Based Outputs
- Valid Frame-Based Inputs
- Frame-Based Outputs
- Valid Sample-Based Inputs
- Sample-Based Outputs
- Valid Frame-Based Inputs
- Frame-Based Outputs
- Zero Latency
- Nonzero Latency
- Zero Latency
- Nonzero Latency
- Linear Interpolation Mode
- FIR Interpolation Mode
- Fixed Initial Conditions
- Time-Varying Initial Conditions
- Fixed Initial Conditions
- Time-Varying Initial Conditions
- Resetting the Running Variance
- Line Visibilities
- Line Styles
- Line Markers
- Line Colors
- Functions -- Alphabetical List
- Supported Data Types and How to Convert to Them
- Viewing Data Types of Signals In Models
- Correctly Defining Custom Data Types
- Fixed-Point Support
- Blocks Supporting Fixed-Point
- Implementing Fixed-Point Filters
- Related Fixed-Point Topics
- Boolean Support
- Advantages of Using the Boolean Data Type
- Lists of Blocks Supporting Boolean Inputs or Outputs
- Effects of Enabling and Disabling Boolean Support
- Steps to Disabling Boolean Support
- Step 1: Open the Simulation Parameters Dialog Box
- Step 2: Disable the Boolean Data Type in the Advanced
Tab
- Step 3: (Optional) Verify Data Types of Signals
- ANSI C Code Generation Support
- Highly Optimized Generated C Code
- Related C Code Generation Topics
- Using dspstartup.m
- Customizing dspstartup.m
- Performance-Related Settings in dspstartup.m
- Miscellaneous Settings
| | Introduction | |