DSP System Toolbox. User's Guide

DSP Tutorials
	Introduction to Streaming Signal Processing in MATLAB
	Filter Frames of a Noisy Sine Wave Signal in MATLAB
	Filter Frames of a Noisy Sine Wave Signal in Simulink
		Open Model
		Inspect Model
		Compare Original and Filtered Signal
	Lowpass Filter Design in MATLAB
	Lowpass IIR Filter Design in Simulink
		filterBuilder
		Butterworth Filter
		Chebyshev Type I Filter
		Chebyshev Type II Filter
		Elliptic Filter
		Minimum-Order Designs
		Lowpass Filter Block
		Variable Bandwidth IIR Filter Block
	Multirate Filtering in MATLAB and Simulink
		Implement FIR Decimator in MATLAB
		Implement an FIR Decimator in Simulink
		Sample Rate Conversion
	Tunable Lowpass Filtering of Noisy Input in Simulink
	Signal Processing Algorithm Acceleration in MATLAB
		FIR Filter Algorithm
		Accelerate the FIR Filter Using codegen
		Accelerate the FIR Filter Using dspunfold
		Kalman Filter Algorithm
		Accelerate the Kalman Filter Using codegen
		Accelerate the Kalman Filter Using dspunfold
	Multithreaded MEX File Generation
	Fixed-Point Filter Design in MATLAB
	Visualizing Multiple Signals Using Logic Analyzer
		Model Programmable FIR Filter
		Simulation
		Use the Logic Analyzer
		Modify the Display
	Signal Visualization and Measurements in MATLAB
Input, Output, and Display
	Discrete-Time Signals
		Time and Frequency Terminology
		Recommended Settings for Discrete-Time Simulations
		Simulink Tasking Modes
		Other Settings for Discrete-Time Simulations
		Cross-Rate Operations
	Continuous-Time Signals
		Continuous-Time Source Blocks
		Continuous-Time Nonsource Blocks
	Create Signals for Sample-Based Processing
		Multichannel Signals for Sample-Based Processing
		Create Signals Using Constant Block
		Create Signals Using Signal From Workspace Block
		Combine Signals Using Matrix Concatenate Block
	Create Signals for Frame-Based Processing
		Multichannel Signals for Frame-Based Processing
		Create Signals Using Sine Wave Block
		Create Signals Using Signal From Workspace Block
		Combine Signals Using Matrix Concatenate Block
	Deconstruct Multichannel Signals for Sample-Based Processing
		Split Multichannel Signals into Individual Signals
		Split Multichannel Signals into Several Multichannel Signals
	Deconstruct Multichannel Signals for Frame-Based Processing
		Split Multichannel Signals into Individual Signals
		Reorder Channels in Multichannel Signals
	Import and Export Signals for Sample-Based Processing
		Import Vector Signals for Sample-Based Processing
		Import Matrix Signals for Sample-Based Processing
		Export Signals for Sample-Based Processing
	Import and Export Signals for Frame-Based Processing
		Import Signals for Frame-Based Processing
		Export Signals for Frame-Based Processing
Data and Signal Management
	Sample- and Frame-Based Concepts
		Sample Rate and Frame Rate
		Generating Signals
		Sample-Based Processing and Frame-Based Processing
	Compare Speed Performance in Frame-Based Processing Mode Using Simulink Profiler
	Inspect Sample and Frame Rates in Simulink
		Inspect Signal Rates Using Color Coding
		Use Model Data Editor or Probe to Inspect Signals
	Convert Sample and Frame Rates in Simulink Using Rate Conversion Blocks
		Rate Conversion Blocks
		Rate Conversion by Frame-Rate Adjustment
		Rate Conversion by Frame-Size Adjustment
	Convert Sample and Frame Rates in Simulink Using Frame Rebuffering Blocks
		Frame Rebuffering Blocks
		Buffer Signals by Preserving Sample Period
		Buffer Signals by Altering the Sample Period
	Buffering and Frame-Based Processing
		Buffer Input into Frames
		Buffer Signals into Frames with Overlap
		Buffer Frame Inputs into Other Frame Inputs
		Buffer Delay and Initial Conditions
		Unbuffer Frame Signals into Sample Signals
	Delay and Latency
		Computational Delay
		Algorithmic Delay
		Zero Algorithmic Delay
		Basic Algorithmic Delay
		Excess Algorithmic Delay (Tasking Latency)
		Predict Tasking Latency
	Variable-Size Signal Support DSP System Objects
		Variable-Size Signal Support Example
		DSP System Toolbox System Objects That Support Variable-Size Signals
DSP System Toolbox Featured Examples
	Wavelet Denoising
	LPC Analysis and Synthesis of Speech
	Streaming Signal Statistics
	High Resolution Spectral Analysis in MATLAB
	High Resolution Spectral Analysis in Simulink
	Zoom FFT
	Outlier Removal Techniques with ECG Signals
	Sigma-Delta A/D Conversion
	GSM Digital Down Converter in Simulink
	Overlap-Add/Save
	Designing Lowpass FIR Filters
	Classic IIR Filter Design
	Efficient Narrow Transition-Band FIR Filter Design
	Multistage Rate Conversion using FIR Rate Converter
	IIR Filter Design Given a Prescribed Group Delay
	FIR Nyquist (L-th band) Filter Design
	FIR Halfband Filter Design
	Arbitrary Magnitude Filter Design
	Design of Peaking and Notching Filters
	Fractional Delay Filters Using Farrow Structures
	Least Pth-Norm Optimal FIR Filter Design
	Least Pth-Norm Optimal IIR Filter Design
	Multistage Rate Conversion
	Complex Bandpass Filter Design
	Design of Fractional Delay FIR Filters
	Time Delay and Scaling in Multirate DSP Filters
	Design of Decimators and Interpolators
	IIR Halfband Stages in Multistage Filter Design
	Efficient Sample Rate Conversion Between Arbitrary Factors
	Reconstruction Through Two-Channel Filter Banks
	Adaptive Line Enhancer (ALE)
	Apply Adaptive Noise Canceling to Fetal Electrocardiography
	Adaptive Noise Cancellation Using RLS Adaptive Filtering
	System Identification Using RLS Adaptive Filtering
	Acoustic Noise Cancellation (LMS)
	Adaptive Filter Convergence
	Noise Canceler (RLS)
	Time-Delay Channel Estimation Through Adaptive Filtering
	Time Scope Measurements
	Spectrum Analyzer Measurements
	Generate a Multithreaded MEX File from a MATLAB Function Using Unfolding
	Generate Standalone Executable and Interact with it Using UDP
	Code Generation for Parametric Audio Equalizer
	Generate DSP Applications with MATLAB Compiler
	Optimized Fixed-Point FIR Filters
	Floating-Point to Fixed-Point Conversion of IIR Filters
	GSM Digital Down Converter in MATLAB
	Cochlear Implant Speech Processor
	Three-Channel Wavelet Transmultiplexer
	Arbitrary Magnitude and Phase Filter Design
	G.729 Voice Activity Detection
	IF Subsampling with Complex Multirate Filters
	Design and Analysis of a Digital Down Converter
	Comparison of LDM, CVSD, and ADPCM
	Digital Up and Down Conversion for Family Radio Service in MATLAB
	Digital Up and Down Conversion for Family Radio Service in Simulink
	Parametric Audio Equalizer
	Envelope Detection in MATLAB
	Envelope Detection in Simulink
	DTMF Generator and Receiver
	WWV Digital Receiver - Synchronization and Detection
	Real-Time ECG QRS Detection
	Internet Low Bitrate Codec (iLBC) for VoIP
Filter Analysis, Design, and Implementation
	Design a Filter in Fdesign — Process Overview
		Process Flow Diagram and Filter Design Methodology
	Use Filter Designer with DSP System Toolbox Software
		Design Advanced Filters in Filter Designer
		Access the Quantization Features of Filter Designer
		Quantize Filters in Filter Designer
		Analyze Filters with a Noise-Based Method
		Scale Second-Order Section Filters
		Reorder the Sections of Second-Order Section Filters
		View SOS Filter Sections
		Import and Export Quantized Filters
		Generate MATLAB Code
		Import XILINX Coefficient (.COE) Files
		Transform Filters Using Filter Designer
		Design Multirate Filters in Filter Designer
		Realize Filters as Simulink Subsystem Blocks
	Digital Frequency Transformations
		Details and Methodology
		Frequency Transformations for Real Filters
		Frequency Transformations for Complex Filters
	Using Digital Filter Design Block
		Overview of the Digital Filter Design Block
		Select a Filter Design Block
		Create a Lowpass Filter in Simulink
		Create a Highpass Filter in Simulink
		Filter High-Frequency Noise in Simulink
	Using Filter Realization Wizard
		Overview of the Filter Realization Wizard
		Design and Implement a Fixed-Point Filter in Simulink
		Set the Filter Structure and Number of Filter Sections
		Optimize the Filter Structure
	Digital Filter Implementations
		Using Digital Filter Blocks
		Implement a Lowpass Filter in Simulink
		Implement a Highpass Filter in Simulink
		Filter High-Frequency Noise in Simulink
		Specify Static Filters
		Specify Time-Varying Filters
		Specify the SOS Matrix (Biquadratic Filter Coefficients)
	Removing High-Frequency Noise from an ECG Signal
	Minimax FIR Filter Design
Adaptive Filters
	Overview of Adaptive Filters and Applications
		Adaptive Filters in DSP System Toolbox
		Choosing an Adaptive Filter
		Mean Squared Error Performance
		Common Applications
	System Identification of FIR Filter Using LMS Algorithm
	System Identification of FIR Filter Using Normalized LMS Algorithm
	Compare Convergence Performance Between LMS Algorithm and Normalized LMS Algorithm
	Noise Cancellation Using Sign-Data LMS Algorithm
	Compare RLS and LMS Adaptive Filter Algorithms
	Inverse System Identification Using RLS Algorithm
	Signal Enhancement Using LMS and NLMS Algorithms
	Noise Cancellation in Simulink Using Normalized LMS Adaptive Filter
		Create an Acoustic Environment in Simulink
		LMS Filter Configuration for Adaptive Noise Cancellation
		Modify Adaptive Filter Parameters During Model Simulation
Multirate and Multistage Filters
	Overview of Multirate Filters
		Decimation and Interpolation
		Decimators
		Interpolators
		Sample Rate Converters
	Overview of Multistage Filters
		Multistage Decimator
		Multistage Interpolator
		Determine the number of stages and rate conversion factor for each stage
	Overview of Filter Banks
		Analysis Filter Bank (Channelizer)
		Synthesis Filter Bank (Channel synthesizer)
		Two-Channel (Halfband) Filter Bank
	Two-Channel Filter Bank Using Halfband Decimators and Halfband Interpolators
	Channelize and Synthesize Sine Wave in MATLAB
	Multilevel Filter Banks
		Dyadic Analysis Filter Banks
		Dyadic Synthesis Filter Banks
Dataflow
	Dataflow Domain
		Specifying Dataflow Domains
		Simulation of Dataflow Domains
		Dataflow Parameters
		Unsupported Simulink Software Features in Dataflow Domains
	Model Multirate Signal Processing Systems Using Dataflow
	Multicore Simulation and Code Generation of Dataflow Domains
		Simulation of Dataflow Domains
		Code Generation of Dataflow Domains
		Types of Parallelism
		Improve Simulation Throughput with Multicore Simulation
		Generate Multicore Code from a Dataflow Subsystem
	Multicore Execution using Dataflow Domain
	Multicore Code Generation for Dataflow Domain
	Multicore Execution of Interpolated FIR Filter using Dataflow domain
	Perform Multicore Analysis for Dataflow
		Select the Cost Calculation Method
		Manually Change Block Costs
		Specify Analysis Constraints and Run Analysis
		Review Results
	Multicore Analysis Using a Dataflow Domain
Simulink Block Examples in Multirate and Multistage Filters
	FIR Decimation Using Single-Rate Processing
	FIR Decimation Using Multirate Frame-Based Processing
	Polyphase Implementation of FIR Decimation Block
	Two-Stage Multirate Narrow Lowpass Filter
	FIR Interpolation Using Single-Rate Processing
	FIR Interpolation Using Multirate Frame-Based Processing
	Polyphase Implementation of FIR Interpolation Block
Simulink Block Examples in Scopes and Data Logging Category
	Obtain Measurements Data Programmatically for spectrumAnalyzer object
	Obtain Measurements Data Programmatically for Spectrum Analyzer Block
DSP System Toolbox Simulink block Examples in Signal Input and Output Category
	Write and Read Binary Files in Simulink
	Write and Read Matrix Data from Binary Files in Simulink
	Write and Read Fixed-Point Data from Binary Files in Simulink
	Write and Read Character Data from Binary Files in Simulink
	Change the Endianness of the Data in Simulink
	Data Transmission Using UDP in Simulink
	Byte Transmission Using UDP
	Transmit Complex Data over UDP Network
	Write and Read Binary Files
	Write and Read Matrix Data
	Write and Read Fixed-Point Data
	Write and Read Character Data
Simulink Block Examples in Signal Generation and Operations Category
	Delay Signal Using Multitap Fractional Delay
	Bidirectional Linear Sweep
	Unidirectional Linear Sweep
	When Sweep Time Is Greater than Target Time
	Sweep with Negative Frequencies
	Aliased Sweep
	Generate Discrete Impulse with Three Channels
	Generate Five-Phase Output from the Multiphase Clock Block
	Count Down Through Range of Numbers
	Import Two-Channel Signal From Workspace
	Import 3-D Array From Workspace
	Generate Sample-Based Sine Waves
	Generate Frame-Based Sine Waves
	Design an NCO Source Block
	Generate Constant Ramp Signal
	Averaged Power Spectrum of Pink Noise
	Sample and Hold a Signal
	Generate and Apply Hamming Window
	Convert Sample Rate of Speech Signal
	Unwrap Signal
	Convolution of Two Inputs
	Select Rows or Columns from Matrices
	Convert 2-D Matrix to 1-D Array
	Pad or Truncate Matrix with Constant Values
	Extract the Phase of Sine Wave
	Queues
	Use DC Blocker to Remove DC Component of Signal
	DC Blocker with Fixed Point Data
	Truncate Data Vector Using Offset Block
	Repeat Signal In Single-Rate Frame-Based Processing Mode
	Repeat Signal In Multirate Frame-Based Processing Mode
	Sample Rate Conversion of Audio Signal
	Detect Number of Zero Crossings in Signal
	Upsample Signal In Single-Rate Frame-Based Processing Mode
	Upsample Signal In Multirate Frame-Based Processing Mode
	Find Peak Values in a Signal
	Effect of Overflow Mode on Peak Finder Output
Simulink Block Examples in DSP System Toolbox
	Why Does Reading Data from the dsp.AsyncBuffer Object Give a Dimension Mismatch Error in MATLAB Function Block?
	Why Does the dsp.AsyncBuffer Object Error When You Call read Before write?
	Buffering Input with Overlap
	Detect Threshold Crossings Using Event Count Comparator Block
Simulink Block Examples in Deep Learning Domain in DSP System Toolbox
	Detect Air Compressor Sounds in Simulink Using Wavelet Scattering
Simulink Block Examples in DSP System Toolbox
	Synthesize and Channelize Audio in Simulink
	Filter input with Butterworth Filter in Simulink
	SSB Modulation
	Wavelet Reconstruction and Noise Reduction
	Filter Noisy Signal Using Fourth-Order Section (FOS) Filter in Simulink
	Adapt Multiple Filters Using LMS Update block
	Model Adaptive Linear Combiner using LMS Update Block
Simulink Block Examples in DSP System Toolbox
	Compute the Maximum
	Compute the Running Maximum
	Compute the Minimum
	Compute the Running Minimum
	Compute the Standard Deviation
	Compute the Running Standard Deviation
	Compute the Variance
	Compute the Mean
	Compute the Running Mean
	Compute the Histogram of Real and Complex Data
	Compute Difference of a Matrix
	Compute Maximum Column Sum of Matrix
	LDL Factorization of 3-by-3 Hermitian Positive Definite Matrix
	Compute Power Measurements of Voltage Signal in Simulink
	Compute CCDF Measurements of Voltage Signal in Simulink
	Compute Matrix Exponential
	Compute Moving RMS of Noisy Step Signal
	Compute RMS of Noisy Step Signal
	Solve Matrix Equation Using Backward Substitution
	Solve Matrix Equation Using Forward Substitution
	Find Inverse of Matrix Using the LU Inverse Block
	Solve Matrix Equation Using LU Solver
	Solve Matrix Equation Using Singular Value Decomposition
	Solve Matrix Equation Using Cholesky Solver
	Factorize Matrix Using LU Factorization Block
	Compute Moving Average of Noisy Step Signal
	Compute Moving Standard Deviation of Noisy Square Wave Signal
	Compute Moving Variance of Noisy Square Wave Signal
	Factor Arbitrary Matrix Using QR Factorization Block
	Compute Polynomial Coefficients Using Least Squares Polynomial Fit Block
	Extract Upper and Lower Triangles from Matrix
Simulink Block Examples in Transforms and Spectral Analysis Category
	Analyze a Subband of Input Frequencies Using Zoom FFT
	Group Delay Estimation in Simulink
	High Resolution Filter-Bank-Based Power Spectrum Estimation
	Estimate Data Series Using Forward Linear Predictor
	Continuous-Time Transfer Function Estimation
	Speech Enhancement with Gain in Frequency Domain
	Compute Periodogram of Signal
	Compute Mean Using Sliding Window
	Estimate Power Spectral Density of Chirp
Transforms, Estimation, and Spectral Analysis
	Transform Time-Domain Data into Frequency Domain
	Transform Frequency-Domain Data into Time Domain
	Linear and Bit-Reversed Output Order
		FFT and IFFT Blocks Data Order
		Find the Bit-Reversed Order of Your Frequency Indices
	Calculate Channel Latencies Required for Wavelet Reconstruction
		Analyze Your Model
		Calculate the Group Delay of Your Filters
		Reconstruct the Filter Bank System
		Equalize the Delay on Each Filter Path
		Update and Run the Model
		References
	Estimate the Power Spectrum in MATLAB
		Estimate the Power Spectrum Using spectrumAnalyzer
		Convert the Power Between Units
		Estimate the Power Spectrum Using dsp.SpectrumEstimator
	Estimate the Power Spectrum in Simulink
		Estimate the Power Spectrum Using the Spectrum Analyzer
		Estimate Power Spectrum Using the Spectrum Estimator Block
	Estimate the Transfer Function of an Unknown System
		Estimate the Transfer Function in MATLAB
		Estimate the Transfer Function in Simulink
	View the Spectrogram Using Spectrum Analyzer
	Spectral Analysis
		Filter Bank
		Welch’s Algorithm of Averaging Modified Periodograms
	Streaming Power Spectrum Estimation Using Welch's Method
Fixed-Point Design
	Fixed-Point Signal Processing
		Fixed-Point Features
		Benefits of Fixed-Point Hardware
		Benefits of Fixed-Point Design with System Toolboxes Software
	Fixed-Point Concepts and Terminology
		Fixed-Point Data Types
		Scaling
		Precision and Range
	Arithmetic Operations
		Modulo Arithmetic
		Two's Complement
		Addition and Subtraction
		Multiplication
		Casts
	System Objects in DSP System Toolbox that Support Fixed-Point Design
		Get Information About Fixed-Point System Objects
		Set System Object Fixed-Point Properties
		Full Precision for Fixed-Point System Objects
	Simulink Blocks in DSP System Toolbox that Support Fixed-Point Design
	System Objects Supported by Fixed-Point Converter App
	Convert dsp.FIRFilter Object to Fixed-Point Using the Fixed-Point Converter App
		Create DSP Filter Function and Test Bench
		Convert the Function to Fixed-Point
	Specify Fixed-Point Attributes for Blocks
		Fixed-Point Block Parameters
		Specify System-Level Settings
		Inherit via Internal Rule
		Specify Data Types for Fixed-Point Blocks
	Quantizers
		Scalar Quantizers
		Vector Quantizers
	Create an FIR Filter Using Integer Coefficients
		Define the Filter Coefficients
		Build the FIR Filter
		Set the Filter Parameters to Work with Integers
		Create a Test Signal for the Filter
		Filter the Test Signal
		Truncate the Output WordLength
		Scale the Output
		Configure Filter Parameters to Work with Integers Using the set2int Method
	Fixed-Point Precision Rules for Avoiding Overflow in FIR Filters
		Output Limits for FIR Filters
		Fixed-Point Precision Rules
		Polyphase Interpolators and Decimators
	Encode Data Using Uniform Encoder
	Decode Integer Data Using Uniform Decoder Block
C Code Generation
	Functions and System Objects in DSP System Toolbox that Support C Code Generation
	Simulink Blocks in DSP System Toolbox that Support C Code Generation
	Understanding C Code Generation in DSP System Toolbox
		Generate C and C++ code from MATLAB code
		Generate C and C++ Code from a Simulink Model
		Shared Library Dependencies
		Generate C Code for ARM Cortex-M and ARM Cortex-A Processors
		Generate Code for Mobile Devices
	Generate C Code from MATLAB Code
		Set Up the Compiler
		Break Out the Computational Part of the Algorithm into a MATLAB Function
		Make Code Suitable for Code Generation
		Compare the MEX Function with the Simulation
		Generate a Standalone Executable
		Read and Verify the Binary File Data
		Relocate Code to Another Development Environment
	Relocate Code Generated from MATLAB Code to Another Development Environment
		Package the Code
		Prebuilt Dynamic Library Files (.dll)
	Generate C Code from Simulink Model
		Open the Model
		Configure Model for Code Generation
		Simulate the Model
		Generate Code from the Model
		Build and Run the Generated Code
	Relocate Code Generated from a Simulink Model to Another Development Environment
		Package the Code
		Prebuilt Dynamic Library Files (.dll)
	How To Run a Generated Executable Outside MATLAB
	Use Generated Code to Accelerate an Application Deployed with MATLAB Compiler
	How Is dspunfold Different from parfor?
		DSP Algorithms Involve States
		dspunfold Introduces Latency
		parfor Requires Significant Restructuring in Code
		parfor Used with dspunfold
	Workflow for Generating a Multithreaded MEX File using dspunfold
		Workflow Example
	Why Does the Analyzer Choose the Wrong State Length?
		Reason for Verification Failure
		Recommendation
	Why Does the Analyzer Choose a Zero State Length?
		Recommendation
	Array Plot with Android Devices
	System objects in DSP System Toolbox that Support SIMD Code Generation
	Generate High Performance SIMD Code on Intel from MATLAB Algorithms in DSP System Toolbox
	Simulink Blocks in DSP System Toolbox that Support SIMD Code Generation
	Generate High Performance SIMD Code on Intel from Simulink Blocks in DSP System Toolbox
		Compare the Performance of SIMD Code with Generated Plain C Code
	In-Place Memory Optimization
HDL Code Generation
	Find Blocks That Support HDL Code Generation
		Blocks
		System Objects
	HDL Filter Architectures
		Fully Parallel Architecture
		Serial Architectures
		Frame-Based Architecture
	Subsystem Optimizations for Filters
		Sharing
		Streaming
		Pipelining
		Area Reduction of Multichannel Filter Subsystem
		Area Reduction of Filter Subsystem
	Multichannel FIR Filter for FPGA
	Programmable FIR Filter for FPGA
	Implement Digital Downconverter for FPGA
	Implement Digital Upconverter for FPGA
Links to Category Pages
	Signal Management Library
	Sinks Library
	Math Functions Library
	Filtering Library
Designing Lowpass FIR Filters
	Lowpass FIR Filter Design
	Controlling Design Specifications in Lowpass FIR Design
	Designing Filters with Non-Equiripple Stopband
	Minimizing Lowpass FIR Filter Length
Filter Designer: A Filter Design and Analysis App
	Using Filter Designer
		Getting Started
		Choosing a Response Type
		Choosing a Filter Design Method
		Setting the Filter Design Specifications
		Computing the Filter Coefficients
		Analyzing the Filter
		Editing the Filter Using the Pole/Zero Editor
		Converting the Filter Structure
		Exporting a Filter Design
		Generating a C Header File
		Generating MATLAB Code
		Managing Filters in the Current Session
		Saving and Opening Filter Design Sessions
	Importing a Filter Design
		Import Filter Panel
		Filter Structures
Designing a Filter in the Filter Builder GUI
	Filter Builder Design Process
		Introduction to Filter Builder
		Design a Filter Using Filter Builder
		Select a Response
		Select a Specification
		Select an Algorithm
		Customize the Algorithm
		Analyze the Design
		Realize or Apply the Filter to Input Data
Visualize Data and Signals
	Display Time-Domain Data
		Open the Time Scope Model
		Configure the Time Scope Properties
		Use the Simulation Controls
		Modify the Time Scope Display
		Inspect Your Data (Scaling the Axes and Zooming)
		Manage Multiple Time Scopes
		Display Complex-Valued Input Signal
		Display Input Signal of Changing Size
		Display Simulink Enumeration Input Signal
	Display Frequency-Domain Data in Spectrum Analyzer
	Visualize Central Limit Theorem in Array Plot
	Configure Spectrum Analyzer
		Signal Display
		Analyzer Tab
		Estimation Tab
		Measurements Tab
		Spectrum Tab
		Spectrogram Tab
		Spectral Mask Tab
		Channel Measurements Tab
	Configure Array Plot
		Signal Display
		Multiple Signal Names and Colors
		Configure Plot Settings
		Use Array Plot Measurements
		Share or Save the Array Plot
		Scale Axes
		Set Additional Properties
		Find the Array Plot Block in Your Model
	Configure Filter Visualizer
		Display
		Multiple Filter Names and Colors
		Configure Plot Settings
		Use Filter Visualizer Measurements
		Share or Save the Filter Visualizer
		Scale Axes
		Set Additional Properties
	Configure Time Scope Block
		Signal Display
		Display Multiple Signals
		Time Scope Measurement Panels
		Style Dialog Box
		Axes Scaling Properties
		Sources — Streaming Properties
	Configure Time Scope MATLAB Object
		Signal Display
		Multiple Signal Names and Colors
		Configure Scope Settings
		Use timescope Measurements and Triggers
		Share or Save the Time Scope
		Scale Axes
	Common Scope Block Tasks
		Connect Multiple Signals to a Scope
		Save Simulation Data Using Scope Block
		Pause Display While Running
		Copy Scope Image
		Plot an Array of Signals
		Scopes in Referenced Models
		Scopes Within an Enabled Subsystem
		Modify x-axis of Scope
		Show Signal Units on a Scope Display
		Select Number of Displays and Layout
		Dock and Undock Scope Window to MATLAB Desktop
	Display Frequency Input on Spectrum Analyzer
	Use Peak Finder to Find Heart Rate from ECG Input
	Configure Array Plot From the Command-Line
	Waterfall Tasks
		Scope Trigger Function
		Scope Transform Function
		Exporting Data
		Capturing Data
		Linking Scopes
		Selecting Data
		Zooming
		Rotating the Display
		Scaling the Axes
		Saving Scope Settings
Logic Analyzer
	Inspect and Measure Transitions Using the Logic Analyzer
		Open a Simulink Model
		Open the Logic Analyzer
		Configure Global Settings and Visual Layout
		Set Stepping Options
		Run Model
		Configure Individual Wave Settings
		Inspect and Measure Transitions
		Step Through Simulation
		Save Logic Analyzer Settings
	Configure Logic Analyzer
Statistics and Linear Algebra
	What Are Moving Statistics?
	Sliding Window Method and Exponential Weighting Method
		Sliding Window Method
		Exponential Weighting Method
	Measure Statistics of Streaming Signals
		Compute Moving Average Using Only MATLAB Functions
		Compute Moving Average Using System Objects
	How Is a Moving Average Filter Different from an FIR Filter?
		Frequency Response of Moving Average Filter and FIR Filter
	Energy Detection in the Time Domain
		Detect Signal Energy
	Remove High-Frequency Noise from Gyroscope Data
	Linear Algebra and Least Squares
		Linear Algebra Blocks
		Linear System Solvers
		Matrix Factorizations
		Matrix Inverses
Bibliography
	References — Advanced Filters
	References — Frequency Transformations
Audio I/O User Guide
	Run Audio I/O Features Outside MATLAB and Simulink
Block Example Repository
	Decrease Underrun