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| Release 11.1 New Features |
Introduction
What's in Release 11.1?
Release 11.1 Documentation
Release 11.1 New Features
This Release 11.1 New Features guide documents the products that were either introduced or changed since Release 11.
For information about products and enhancements introduced with Release 11 and earlier releases, see the online Release 11 New Features document.
Release 11.1 Known Software and Documentation Problems
The Release 11.1 Known Software and Documentation Problems guide describes Release 11.1 software bugs and known documentation issues.
Documentation For Existing Products
The Release 11.1 documentation for products that were also available in Release 11 is the same as it was for Release 11, with the exceptions of the updated documentation listed below. Online documents are available in HTML and PDF form, except for the OpenGL update information.
Documentation For New Products
The documentation for new products introduced after Release 11 is available in online form, and for some cases, also in printed form, as indicated in the table below.
| Product/Feature |
Printed? |
Online? |
| Dials & Gauges Blockset |
|
|
| Financial Time Series Toolbox |
|
|
| GARCH Toolbox |
|
|
| Quantized Filtering Toolbox |
|
|
| xPC Target |
|
|
Online Documentation
As you know if you are reading this document from within MATLAB, you can display the online documentation Help Desk by typing at the MATLAB command line
helpdesk
You can then access HTML documentation from the list of manuals on the top page. You can access PDF versions of the documentation from the "Online Manuals (in PDF)" link in the bottom left section of the Help Desk page.
MATLAB documentation that is in HTML form is available from the top left section of the Help Desk page. Reference material for most MathWorks products is available in HTML form, from the links on the right side of the Help Desk page.
| Note The Japanese Help Desk has been updated significantly for Release 11.1, including several new and updated manuals. |
Installation
See the Installation Guide for information about how to install Release 11.1 on your platform.
Bug Fixes and Changes to Release 11 Products
Release 11.1 includes a number of bug fixes to products that were in Release 11 (and in most cases, earlier releases).
Information about software bugs and fixes is available from the Technical Support page of The MathWorks Web page:
http://www.mathworks.com/support/
Release 11.1 also includes some changes to a few Release 11 products to support one or more Release 11.1 products.
The Release 11 products that include bug fixes or changes to support Release 11.1 products include:
Enhancements To Release 11 Products
This section summarizes the enhancements made to products/features introduced with Release 11 or earlier releases. Those products are:
MATLAB's OpenGL Support
This release supports the autoselection of the OpenGL renderer by MATLAB.
Database Toolbox
Running the Database Toolbox
To use the new version of the Database Toolbox, use the command
feature('dispatchjava',1)
Support For UNIX
You can now run the Database Toolbox on UNIX platforms.
New Functions
Release 11.1 introduces over 30 new functions, including a valuable set of functions for retrieving database metadata so you can find out information about the database, for example, table names and column names. Other new functions apply to drivers and result sets.
Visual Query Builder
The Visual Query Builder (shown below) is a new, easy-to-use, graphical user interface (GUI) for retrieving data from your database.
DSP Blockset
Running Different Blockset Versions
When you install the DSP Blockset 3.1 on your computer, Version 2.2 of the blockset is also installed.
Run Version 3.1 by typing dsplib. To run Version 2.2, type dsplib 2.
New Features
Version 3.1 of the DSP Blockset offers several new blocks, as well as substantial optimization for existing multirate blocks. The following sections summarize the new additions.
See Chapter 1 of the online DSP Blockset User's Guide for an overview of the blockset's contents. Also see the DSP Blockset readme file for a complete listing of the changes. To view the readme file, at the MATLAB command line type
info dspblks
Library Structure
The library structure has undergone further refinement for Version 3.1 with the addition of a Quantizers library in General DSP. The new library contains blocks for quantization and coding.
Low Latency for Multirate Blocks
Multirate blocks, such as the buffering and rate conversion blocks, are now optimized to produce the smallest possible delays under Simulink's single-tasking mode. The blocks that benefit from this change are:
Some of these blocks now have zero delay in single-tasking mode. See "Delay and Latency" in the online DSP Blockset User's Guide for complete information.
| Note As a result of the reduced delay, models that use the blocks listed above may perform differently with DSP Blockset 3.1 than they did with DSP Blockset 3.0. Consult the Version 3.1 DSP Block Reference for the delay characteristics of particular blocks. In cases where an existing model relies on the suboptimal delay of 3.0 blocks to produce correct results, you may want to preserve the current behavior. Consult the Knowledge Base at the MathWorks Support Web site for information (search for "latency"). |
New and Enhanced Blocks
The table below lists the new and substantially improved (*) blocks in Version 3.1.
| Block Library |
Block Name |
Description |
| DSP Sources | Discrete Impulse |
Generate a discrete impulse. |
| Random Source |
Generate a vector of uniformly or normally distributed randomly values. |
|
| Sine Wave* |
Generate a continuous or discrete sine wave. Version 3.1 adds table look-up, periodic schedule detection for discrete-time trigonometric mode, complex exponential output, and optimized code generation. |
|
| Elementary Functions | dB* |
Convert magnitude data to decibels (dB or dBm). Version 3.1 adds dBm conversion and resistance specification. |
| Polynomial Evaluation |
Evaluate a polynomial expression. |
|
| Matrix Functions |
Matrix Square |
Compute the square of the input matrix. |
| Linear Algebra | Backward Substitution* |
Solve the equation UX=B for upper triangular matrix U. Version 3.1 adds support for matrix X and B. |
| Cholesky Solver* |
Solve the equation SX=B for Hermitian positive definite matrix S. Version 3.1 adds support for matrix X and B. |
|
| Forward Substitution* |
Solve the equation LX=B for lower triangular matrix L. Version 3.1 adds support for matrix X and B. |
|
| Transforms | DCT* |
Compute the discrete cosine transform (DCT) of the input. Version 3.1 adds support for multichannel inputs. |
| IDCT* |
Compute the inverse discrete cosine transform (IDCT) of the input. Version 3.1 adds support for multichannel inputs. |
|
| Quantizers | Uniform Decoder |
Decode an integer input to a floating-point output. |
| Uniform Encoder |
Quantize and encode a floating-point input to an integer output. |
|
| Filter Designs |
Digital FIR Raised Cosine Filter Design |
Design and implement a raised cosine FIR filter. |
| Filter Realizations |
Direct-Form II Transpose Filter* |
Apply an IIR filter to the input. Version 3.1 allows the numerator and denominator coefficients to be tuned while the simulation runs (as long as the polynomial lengths remain the same). |
| Multirate Filters | Wavelet Analysis |
Decompose a signal into components of logarithmically decreasing frequency intervals and sample rates (requires the Wavelet Toolbox). |
| Wavelet Synthesis |
Reconstruct a signal from its multirate bandlimited components (requires the Wavelet Toolbox). |
Minor Enhancements
The filter design blocks now allow most parameters to be tuned while the simulation runs. The parameters that are not tunable are Filter order, Frame-based inputs, and Number of channels.
The Window Function block offers a new Hann option for designing Hann windows (also known as Hanning windows).
Demos
A new frame-based wavelet denoising demo is available. At the MATLAB command line, type
dspwdnoisf
Financial Toolbox
Improved Speed
Fixed income functions use faster algorithms for tasks such as bond pricing, yield, and coupon cash flow mapping. The following functions have been rewritten for better performance:
Portfolio Optimization
You can now include riskless investments in the portfolio optimization functions:
Term Structure Analysis
A new function, prbyzero, has been added for interest term structure analysis. prbyzero computes fair bond prices from a zero curve or set of zero curves. The function is a companion to zbtprice, which bootstraps a zero curve from market bond prices.
Another new function, cfport, creates a portfolio form of cash flows which is useful for term structure analysis.
| Function |
Description |
prbyzero |
Price bonds from a zero curve. |
cfport |
Portfolio form of cash flows. |
Signal Processing Toolbox
Spectral Analysis Functions
This release includes major updates to the signal processing spectral analysis functions, including changes to the units the power spectral density (PSD) is calculated in, and the frequency axis in plot displays. Now one-sided PSDs are plotted for real inputs. The functions that have been modified include:
pburgpcovpeig (This function was in Release 11, but undocumented)pmcovpmtmpmusicpwelchpyulearAdditional New Functions
There other are several new functions.
| Function |
Description |
corrmtx |
Computes a correlation matrix from data. |
freqzplot |
Plots frequency responses. |
hann |
Computes a Hann window and replaces the hanning function. |
periodogram |
Calculates periodograms. |
psdplot |
Plots PSDs. |
rooteig |
Uses the eigenvector method in computing the root music algorithm. |
rootmusic |
Computes the root music algorithm. |
schurrc |
Computes reflection coefficients from an autocorrelation sequence. |
udecode |
Decodes 2n-level quantized integer inputs to floating-point outputs. |
uencode |
Quantizes and encodes floating-point inputs to integer outputs. |
Documentation Updates
The documentation for these functions has been updated:
Products Introduced Between Release 11 and Release 11.1
This section briefly describes products that were released (via the Web) after Release 11, but before Release 11.1. Those products include:
MATLAB C/C++ Graphics Library
The MATLAB C/C++ Graphics Library is a collection of more than 100 MATLAB graphics routines distributed as a single library. The graphics library makes the visualization and GUI-building routines of MATLAB available to stand-alone C and C++ applications.
A stand-alone C or C++ application is an executable program that can run independently of the MATLAB interpreted environment. Stand-alone applications are a convenient way to package and distribute a customized MATLAB application.
Using this library, in conjunction with the MATLAB Compiler and the MATLAB C/C++ Math Library, you can create stand-alone applications from M-files that use lines, text, meshes, and polygons as well as interactive GUI components such as menus, push buttons, and dialog boxes.
| Note You must use the MATLAB Compiler to create C or C++ stand-alone graphics applications. Calling MATLAB C/C++ Graphics Library routines directly from a C or C++ source module is not supported. |
The Data Acquisition Toolbox
The Data Acquisition Toolbox is a collection of M-file functions and MEX-file dynamic link libraries (DLL's) built on the MATLAB technical computing environment. The toolbox provides:
The supported hardware and major toolbox features are described below.
Supported Hardware
The toolbox supports these hardware devices:
You can view a complete list of all supported hardware devices at
http://www.mathworks.com/products/daq/hardware.shtml
Toolbox Features
Object Based Design.Based on MATLAB's object technology, the toolbox provides functions for creating device objects directly associated with your hardware. Device objects provide a gateway to all of the hardware's functionality and allow you to control the behavior of your acquisition.
You can create device objects for analog input, analog output, and digital I/O subsystems. For example, an analog input object created in MATLAB contains all the necessary parameters for executing any supported analog input task.
Data Management.Functions are provided for previewing and extracting your data for analysis. The toolbox streams data into MATLAB in double precision floating-point format or native hardware format. This gives you the ability to work with the data just as you would any other matrix in MATLAB.
Data Logging.Functions are available for logging data to disk, memory, or both while an analog input object is running.
Events and Actions.In general, data acquisition tasks are initiated based on events. An event occurs at a specific time after a condition is met. Some of the event types supported by the Data Acquisition Toolbox include: start and stop events, triggers, number of samples acquired, number of samples output, and errors.
Events may result in one or more actions. For example, all the event types mentioned above have the action of calling an associated property, which in turn can execute an M-file function that you specify.
Error Handling.A consistent set of error and warning messages are sent back to the MATLAB workspace by the toolbox when an error is encountered. If a hardware error message is encountered that is not handled by the toolbox, an "external error" is reported along with the vendor-specific hardware error message.
Conversion to Engineering Units.The toolbox automatically converts acquired data into values that represent specific engineering units (e.g., volts, Newtons, etc.). Use of linear scaling and offsets is supported directly by the toolbox. In addition, any nonlinear calibration curve may be applied using MATLAB. You can set engineering unit conversions for each channel of data.
Acquisition Status Evaluation.You can evaluate the status of your acquisition and the available data acquisition resources at any time using functions provided by the toolbox. Data acquisition resources include installed hardware, hardware drivers, and hardware driver adaptors.
GARCH Toolbox
The GARCH Toolbox provides essential tools for univariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) volatility modeling of economic time series. It uses a general ARMAX/ GARCH composite model to perform simulation, forecasting, and parameter estimation of financial time series in the presence of conditional heteroskedasticity.
Products Introduced in Release 11.1
This section briefly describes products that are being introduced with Release 11.1. Those products are:
Dials & Gauges Blockset
The Dials & Gauges Blockset supplies realistic, instrument-like user interface controls for Simulink blocks. With this model-based instrumentation, you can add graphical instruments directly to your model, using them as you would use blocks from the Sources and Sinks libraries. The instrumentation is based on ActiveX technology and is available on Microsoft Windows platforms.
Financial Time Series Toolbox
The MATLAB Financial Time Series Toolbox contains a collection of tools for the analysis of time series data in the financial markets.
The toolbox extends the capabilities of MATLAB by providing a date-aware time series object. The object simplifies the manipulation, cleanup, and preparation of financial data, so that finance professionals can take full advantage of MATLAB's graphics, built-in numerics, and special-purpose toolboxes.
Quantized Filtering Analysis Toolbox
The Quantized Filtering Toolbox is a new product for filtering and bit-true analysis using fixed-point or custom-precision floating-point arithmetic for a wide range of precisions.
Relationship To Other Products
The Quantized Filtering Toolbox is built on top of the MATLAB computing environment and the Signal Processing Toolbox. You must have the Signal Processing Toolbox in order to use it.
xPC Target and xPC Target Embedded Option
xPC Target and its add-on product xPC Target Embedded Option are products from The MathWorks for use with Real-Time Workshop®. It is a host-target PC solution for prototyping, testing, and deploying real-time systems. In this environment you use your desktop PC as a host computer with MATLAB, Simulink, and Real-Time Workshop to create models, run simulations, and generate code. You then use a second PC-compatible system as a target computer where the generated code runs in real time.
The major features of the xPC Target software are the ability to:
| Note xPC Target requires a host PC, target PC, and either the Watcom C/C++ compiler or Microsoft Visual C/C++ compiler. For I/O, your target PC must also have I/O boards supported by xPC Target. |