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RealWave Pocket Analyser

RealWave Pocket Analyser
The Realwave Pocket Analyser is a handheld, PDA-based analyser that addresses many applications including realtime FFT analysis, spectrograms, octave analysis, vibration level meter with human vibration filter, sound level meter & FFT based RPM meter. And prices start from just £1385. Click here to find out more.

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ESP Software : DATS-lite

The Prosig ESP (Easy Signal Processing) system combines the P8004 4-channel data acquisition hardware with full-featured analysis software, all in a single, low cost package. Everything you need to capture and analyze data is included in one low cost package.

24-bit high quality data acquisition system with IEPE ICP DC AC charge CAN-bus thermocouple DAC digital output



DATS-lite Software

DATS-lite, the software supplied with the ESP system, provides a very easy to use software package for the investigation and reporting of experimental and theoretical data. Data may be captured from the P8004 system, imported from a wide variety of formats or generated in ESP where it may be manipulated, edited and analysed with 1000’s of signal processing tools. ESP analyses include Time Domain Analysis, Filtering, Frequency Domain Analysis, Dataset Manipulation / Editing, Arithmetic, Calculus, Probability and Statistics.




Import

The ESP import functions allow data to be imported from numerous sources. Import formats include ASCII, binary, SDF, LabView, MATLAB, UFF (Universal) and many more. Equivalent export functions are provided for most formats.

Signal Processing

100’s of analysis functions with 1000’s of parameter variations are contained within the very comprehensive range of tools. Analysis categories include

  • Import
  • Export
  • Time Domain Analysis
  • Filtering
  • Frequency Domain Analysis
  • Dataset Manipulation / Editing
  • Arithmetic
  • Calculus
  • Probability

Automation

By design each ESP analysis carries out one basic activity. The data structure allows the output of one analysis to be the input to another analysis. This simplicity allows analysis sequences to be constructed interactively and then saved and reused time and time again.

 

Data Classification and Q.A. Tracking

As well as capturing, importing, manipulating and storing the data values, ESP also stores supplementary information and complete Q.A. history with the data. All acquisition set up information is stored along with analysis results, as well as the details of the input signals, the parameter settings and the version, date and library information of the analysis function. All of this information is passed on as the signal is processed by other analyses, providing complete traceability on every signal from acquisition to final result.

Report

ESP uses powerful Windows OLE technology to combine the graphical and analytical capabilities of DATS with the word processing and layout facilities of Microsoft Word to produce high quality reports that may be quckly and easily configured and edited.
This is not a simple “cut and paste” facility. OLE offers much more powerful object embedding to allow ESP graph editing to be done while still inside a Word document or similar.


DATS-Lite Functions


Arithmetic (Data & Data)
Data & Data Arithmetic (+ - * /)
Data + Ind. Var. Arithmetic (+ - * /)
Data and Reference
Arithmetic (Data & Constant)
Real Data & Constant (+ - * /)
Complex Data & Constant (+ - * /)
Mod/Phase Data & Constant (+ - * /)
Calculus
Differentiate
Integrate
Complex Functions
Complex to & from Mod/Phase
Complex to Real
Complex to Imaginary
Complex Output (Imag+iReal, Real+i0, Imag+i0, Real + iZ)
Data & Conjugate(Data) (+ - * /)
Cursor Functions
Data readout of real, imaginary, modulus and phase
Define “workzone“ for analysis
Scale
Zoom
Pan
Curve Fitting
Alpha-Beta Smooth
Lagrange
Least Squares Polynomial
Remove Spikes from Data
Smooth
Spline Fit
Export Data
ASCII
Comma Separated Variables (CSV)
DATS
Delimited ASCII Text
Matlab
MS Excel
RPC III
SDF (HP/Agilent)
TecPlot
Universal File (UFF)
WAV
Filtering
Alpha Beta Filter
Bessel (Low, High & Band Pass and Band Stop)
Butterworth (Low, High & Band Pass and Band Stop)
Chebyshev (Low, High & Band Pass and Band Stop)
Notch
Frequency Characteristics (Butterworth, Chebyshev & Bessel)
RC Filter
Frequency Analysis
Auto (Power) Spectrum (RMS Harmonic)
Auto (Power) Spectrum (Spectral Density)
Auto (Power) Spectrum (Hopping)
Coherence Spectrum
Complex to Mod/Phase
Cross Spectrum
Cross Spectrum (Limit Hold)
FFT (Full Range)
FFT (Half Range)
Hopping FFT
Short Time FFT
Transfer Function
Generate Data
Sine (Sine, Damped, Swept, Modulated & Pulsed)
Random (Gaussian, Rectangular & Narrow Band)
Square (Pulse & Swept)
Triangle
Saw Tooth
Exponential Decay
Straight Lines & Ramps
Graphical Functions
Display as:
Data vs. Time / frequency
Data vs. Data
Real & Imaginary
Modulus & Phase
Modulus vs. Phase (Polar Plot)
Real vs. Imaginary
Numeric Table
3D Isometric
3D Histogram
Contour Plot
Waterfall Plot
Intensity (Color) Map
Line Styles
Solid, dashed or dotted
Line thickness
Symbols
Bars
Steps
Histogram
Set Scales with:
Graphical zoom (using mouse)
Scroll bars
Numeric Value
Linear / logarithmic / time X Axes
Linear / logarithmic / dB Y Axes
Configure axis markings and annotation
Overlay graphs
Add text labels
Add legend
Select grid styles
Axes
Box
Full grid
Set Colours for
Axes
Annotation
Curves
Labels
Grid and window fills
Autoscale
Import Data
ASCII
Binary
B & K Pulse
Catman
Comma Separated Variables (CSV)
DASYLab
DATS
Delimited ASCII Text
DIA / DIAdem
DX3
HEAD Acoustics
LabVIEW
Matlab
nCode

PicoLog
RES Data
RPC II / III
SDF (HP/Agilent)
Store Plex (Racal)
SYEN Databrick
Universal File (UFF)
WAV
WaveView (Iotech)
Maths Functions
Absolute
Arctan, Arcsin, Arccos
Arctanh, Arcsinh, Arccosh
Antilog
Conjugate
Exponential
Linear to dB, dB to Linear
Log e, Log 10
Negate
Sin, Cos, Tan
Sinh, Cosh, Tanh
Square Root
Signal Manipulation
Add Named Elements
Amend Control Record
Append Signal to Dataset
Copy Whole Signal
Copy Section of Signal
Extract Named Elements
Include Signals to Dataset
Join Signals
Mesh Two Signals
Modify Named Elements
Repair Signal
Replace Signal
Replace Single Named Element
Reverse Signal
Sort Signal
Statistical Counting
Level Count (Number of Intervals, Size of Duration Interval, Interval Size as %age, Output All Duration, Referenced to Signal Mean, Specify Reference Level)
Time Domain Analysis
Apply Threshold
Bias removal
Evaluate Trend (Mean, SD or RMS Values)
Normalise
Probability Analysis
Probability Density Function
Statistics
Time Reverse
Trend Removal (Linear Averaging Points, Exponential Averaging & Linear Averaging Duration)