Dew Lab Studio is a superset of our Delphi math product line at a reduced price. It includes MtxVec, DSP Master, Stats Master and Data Miner.
MtxVec is an object oriented numerical library for Delphi and .NET developers with complete matrix/vector arithmetic. It features a large set of vectorized mathemathical functions which cover complex numbers, sparse matrices, math parser, probabilities, optimization unit, SVD, QR, LQ, and LU solvers, special functions, and more. All applications based on this library take advantage of CPU-specific code optimization and symmetric multiprocessing. Efficient memory and CPU cache management further enhance its performance.
The secret behind our performance is called "code vectorization". We achieve substantial floating-point math performance improvements by exploiting the Streaming SIMD Extensions SSE2, SSE3 and SSE4 instruction sets. (SIMD: Single Instruction Multiple Data)
MtxVec makes extensive use of the Linear Algebra Package, which today is the de-facto standard for linear algebra and is free from www.netlib.org. Because this package is standard, different CPU makers provide performance-optimized versions to achieve maximum performance. Linear algebra routines are the bottleneck of many frequently used algorithms; therefore, this package is the part of the code that makes the most sense to optimize. MtxVec uses the version optimized for individual CPUs provided by Intel with their Math Kernel set.
This signal processing package for MtxVec features Infinite Impulse Response (IIR) filter designers: Butterworth, Chebyshev, elliptic, Bessel, and Finite Impulse Response (FIR) designers: window, Remez exchange. Included are also over 40 components such as: frequency analyzer, cross spectral analyzer, higher order spectral analyzer, signal generator, arbitrary rate convertors, streaming pipelines, audio playback and recording, ASIO audio drivers, fractional delay filters, signal forecasting, read/write audio file support and many other features.
The package includes:
IIR filters: Design of analog or discrete Butterworth, ChebyshevI, ChebyshevII, Elliptic and Bessel filters. Order estimation includes all filter types: lowpass, highpass, bandpass and bandstop. Bilinear and Matched Z transform, group delay, frequency transformations in S or Z domain, in zero-pole or state-space form.
FIR Filters: Design of FIR filters with window method or with Remez exchange algorithm. Order estimation of FIR filters. Design of Hilbert transformers, differentiators and also integrators. Savitzky-Golay filtering, fast envelope detector. Multi-rate multi-stage half-band FIR filtering support includes: zoom-spectrum component, decimate and interpolate components and a high quality envelope detector.
Non-linear filters: sample-and-hold, sample-and-decay and median filter.
Spectral analysis: State-of-the-art spectrum analyzer component with ready to use component editor covering: FFT, CZT, Yule-Walker, Burg, Covariance and Modified Covariance spectral estimation, RMS of specified frequency bands, a set of peak interpolation algorithms, a large set of window functions including: Bartlett, Blackman, Chebyshev, CosineTapered, FlatTop, Hamming, Hanning and Kaiser window; sophisticated peak selection and peak tracking methods, phase unwrapping algorithm, dedicated components for bispectrum, bicoherence, coherence and transfer function estimation with real-time capability. Also real cepstrum, complex cepstrum and inverse complex cepstrum. Spectral statistics: Noise floor, SFDR, THD, THDN, SINAD, RMS, SNR...
Linear systems: find zeros of a linear system, convert between state-space, zero-pole and numerator-denominator forms of the transfer function.
ASIO audio component greatly simplifies reliable use of ASIO drivers and features click-pop free start, stop and pause operations. It supports real time processing with extra skip protection in all three operation modes: playback, record and record/playback.
Noise generators include white, pink, brownian, blue and violate noise next to the standard triangular, square and multi-tone signals.
Kalman filtering algorithm supports standard and extended (non-linear) and it can work for single and multiple input/output Kalman filtering applications.
Fast rate conversion algorithms support conversion by any real number factor. The quality of the linear phase filtering allows 160dB noise attenuation. The speed of conversion is exceptionally high.
Signal modulation/demodulation algorithms covering: zoom-spectrum, signal (amplitude) modulator/demodulator, high speed linear phase narrow bandpass filtering, envelope detection and standard decimation/interpolation logic
High quality spectrogram/periodogram with a wide selection of processing and visualization options.
Signal forecasting with spectral analysis. Only user specified spectral peaks are used to generate the forecasted time series providing a very simple but efficient method.
Other components: signal generator component with ready to use component editor offers stack-based vectorized function evaluation with many built-in functions. Audio recording and playback components with monitor function and extensive support for triggers. Ready to use component editor for filtering component covers design of nearly all included filters. Components for streaming (read/write) different file formats.
TeeChart Pro (v5 and later) support includes: two new TChart components to allow visual connection of the signal processing pipes to charts, two new TChartSeries for faster drawing and 3 additional TeeTools components to help with peak marking and axis scaling.
Together with MtxVec the following functions/operations are provided: frequency response of analog and discrete filters, fast 1D and 2D convolution, fast autocorrelation and cross-correlation, deconvolution, 1D and 2D filtering, zero phase IIR filtering, interpolated FIR filters, DCT and inverse DCT, Geortzel algorithm and forward and inverse FFT for all combinations of real/complex source and destination, random number generators and more...
TSpectrum analyzer, TCrossSpectrumAnalyzer, TBispectrumAnalyzer, TSignalAnalyzer now have a report generator.
Create your DSP applications with our high performance, inexpensive DSP technology. DSP Master and MtxVec are great tools for programming DSP with in general.
The Stats Master statistical package for Delphi includes: 21 different distributions (PDF, CDF and inverse CDF function), mean and variance for all 21 distributions, random generators for 18 distributions, parameter estimate for beta, binomial, exponential, gamma, geometric, normal, Poisson, continuous uniform and Weibull distributions, histograms, ogives nth-Moment, percentile, range, Interquertile Range IQR, mean, harmonic mean, goodness-of-fit tests and more.
If your applications use probability and statistics, or do statistics testing, our Stats Master statistical software package is just what you need to speed up your application. The languages supported include C#, VB.NET, Delphi and C++Builder. Description
Stats Master introduces basic and more advanced routines for statistical analysis. Since it's a MtxVec add-on package, it requires the latest MtxVec version installed on your machine.
This package features about 300 different routines (not counting overloads) and several components. The package is built without requiring any additional dlls and full source is available. It takes advantage of major MtxVec features like support for code vectorization, symmetric multiprocessing and a large set of functions already available in MtxVec.
A complete list of all available routines with examples is available in the help file (Delphi, VS.NET) and below is a short summary:
Stats Master handle all your probability and statistics tests in your applications.
Data mining software is a useful solution for investment analysis, robotics and anywhere you can use an Expert System to advantage.
Data Miner is a set of components for classification for Borland Delphi, written in 100% Visual Component Library (VCL). The algorithms included cover: k-nearest neighbor (KNN), and Naive Bayes, plus a third completely new Linear Classifier algorithm. The algorithms can work on real and discrete data and can be connected to a TDataSet descendant. They appropriately handle missing data and are all capable of incremental learning. The package includes a demo with reference results on standard domains, examples of usage and performance tests. The package also contains a 9-page document giving the user a rush introduction to all the key characteristics of classification algorithms. The classification algorithms of Data Miner are used to tackle the same kind of problems for which neural networks are used.
This software is not reviewed yet.
Time series and frequency spectrum analyzer optimized for handling of long signals (Big Data). Designed for scientists, engineers and hobbyists in need of detailed signal content information (vibration, audio, seismic, speech..)