cds_evalsig Filters the data from swept analyses. The cds_srr and cds_innersrr commands have the same interface, but cds_srr adds some post processing to make the resulting matrix easier to read. cds_srr is an external function with cds_innersrr running in the background. datalist = cds_srr('results_directory', '', '', 0) The cds_srr command supports both PSF and SST2 formats. For example, the following command runs silently. To turn off these messages, use a zero (0) as the fourth parameter. Tip The cds_srr command normally returns informational messages. In MATLAB, If a semi-colon ( ) is at the end of a command, the system will not display the return results. The innermost sweep can be a matrix with variable sizes in each column, the other sweeps have to be a vector of fixed size. An inner sweep is always listed before an outer sweep in name, unit pairs in the info field. The first name, unit pair in the info field describes the final value, the other pairs describe the sweep information if the signal was swept. In each pair, the first value is the name of the field, the second value is the unit of the field.
The first field is info, a string vector of name, unit pairs. Normally, when you use cds_srr to read a signal into MATLAB, cds_srr returns a structure containing fields. The signal can be a single value or a structure containing a matrix. To read a signal into MATLAB, give both a dataset name and a signal name and use the command signal = cds_srr( result_directory, dataset_name, signal_name ) December Product Version 6.1ģ The value of the signal is returned with signal. To list the signal names in a dataset, use the command signals = cds_srr( result_directory, dataset_name ) All signal names and property names in the dataset are returned with signals as a string vector. To list the datasets in the result directory, use the command datalist = cds_srr( result_directory ) All dataset names in the result directory are returned with datalist as a string vector.
cds_srr Lists the datasets in the result directory, lists signals in a dataset or reads a signal into MATLAB.
#DOWNLOAD RF TOOLBOX HOW TO#
This section introduces the basic toolbox functions, describes how to use each function and describes how to write measurement functions. For C shell users, use the following command setenv LD_LIBRARY_PATH `cds_root spectre`/tools/dfii/lib:`cds_root spectre`/tools/ lib:$ The Basic Toolbox Functions Each toolbox function command has an associated help page which you can display by typing help in MATLAB. Make sure that both /tools/dfii/lib and / tools/lib are in the path. Verify the dynamic library path by checking the LD_LIBRARY_PATH environment variable. Make sure you are running Spectre 6.0 or a higher version. It uses shared libraries located in the Spectre installation path. Configure the Toolbox Package The Spectre/RF Toolbox in MATLAB depends on the Spectre simulation run environment. Tip Use the `cds_root spectre` command to determine the installation directory of your MMSIM simulation software. In the MATLAB Toolbox there are 3 MEX-files and 12 M-files. The home directory for the toolbox is /tools/spectre/matlab where is the installation directory for the MMSIM simulation software.
#DOWNLOAD RF TOOLBOX INSTALL#
The MATLAB Toolbox includes a number of functions you can use to Read Spectre simulation results in PSF or SST2 format into MATLAB Perform basic data filtering and plotting tasks Support typical RF measurements such as IP3 and compression point Install the Toolbox Package The MATLAB Toolbox is a standalone package shipped with MMSIM version 6.1 and higher. Many users want to customize their measurements and displays. MATLAB, a powerful mathematical and graphic tool, provides rich data processing and display functionality. Experienced users can also perform high-level design tasks in Simulink and MATLAB. The toolbox allows experienced SpectreRF users to use Simulink and MATLAB to make customized measurements on information extracted from Spectre simulation results.
The toolbox provides all Spectre and SpectreRF users with an alternative method for post-processing simulation data and making standard RF measurements in MATLAB. This section describes how to use the toolbox to read Spectre simulation results into MATLAB and to use MATLAB to perform some standard RF measurements. 1 The Spectre/RF MATLAB Toolbox The MATLAB Toolbox provides an interface between both the Spectre and UltraSim circuit simulation technologies and the MATLAB data manipulation environment.
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