Dew Lab Studio includes MtxVec math library and additional signal analysis (DSP Master) and statistical analysis (Stats Master) add-on packages.
Features include:
- fast object oriented numerical library
- Intel AVX 1.0, 2.0, SSE4, Open CL and 64bit support enabled.
- super conductive memory manager allows linear scaling with number of CPU cores.
- LAPACK 3.4 based
- Complete support for complex numbers for all functions.
- Rich set of matrix and vector functions and operators.
- Solver for banded sparse matrices, Iterative sparse solvers, Direct sparse solver for non-symmetric matrices. Conversions support Banded, Dense, Sparse and Triplets matrix formats
- 23 probability distributions (PDF, CDF and inverse CDF function), special functions, optimization routines, random generators and distribution parameter estimation.
- fast vectorized math expression parser and evaluator
- 1D and 2D FFT's, correlations and autocorrelations.
- arbitrary functions of matrix including square root of matrix and logarithm of matrix
- optimized integer math library.
- generalized Eig and SVD values
- sparse matrix eigenvalues for symmetric and generalized symmetric matrices
Statistics
- Descriptive statistics
- Hypothesis testing
- Weighted/unweigted linear and multiple linear regression.
- Weighted/unweighted non-linear regression
- Time series analysis (ARMA, ARIMA, ARAR, MA, AR, ...)
- PCA, multivariante analysis, ...
Signal processing
- IIR filters (Cheybshev I-II, Butterworth and Elliptic).
- FIR filters (Remez and Kaiser) with complete filter design support.
- Signal forecasting
- Standard and extended Kalman filters.
- Spectral analysis, cross spectral analysis and higher order bispectral analysis
- Conversions between different forms of transfer function
- Audio recording and playback components including ASIO.
- interpolated FIR filters, DCT/IDCT
- real factor high accuracy fast rate conversion
Features include:
- fast object oriented numerical library
- Intel AVX 1.0, 2.0, SSE4, Open CL and 64bit support enabled.
- super conductive memory manager allows linear scaling with number of CPU cores.
- LAPACK 3.4 based
- Complete support for complex numbers for all functions.
- Rich set of matrix and vector functions and operators.
- Solver for banded sparse matrices, Iterative sparse solvers, Direct sparse solver for non-symmetric matrices. Conversions support Banded, Dense, Sparse and Triplets matrix formats
- 23 probability distributions (PDF, CDF and inverse CDF function), special functions, optimization routines, random generators and distribution parameter estimation.
- fast vectorized math expression parser and evaluator
- 1D and 2D FFT's, correlations and autocorrelations.
- arbitrary functions of matrix including square root of matrix and logarithm of matrix
- optimized integer math library.
- generalized Eig and SVD values
- sparse matrix eigenvalues for symmetric and generalized symmetric matrices
Statistics
- Descriptive statistics
- Hypothesis testing
- Weighted/unweigted linear and multiple linear regression.
- Weighted/unweighted non-linear regression
- Time series analysis (ARMA, ARIMA, ARAR, MA, AR, ...)
- PCA, multivariante analysis, ...
Signal processing
- IIR filters (Cheybshev I-II, Butterworth and Elliptic).
- FIR filters (Remez and Kaiser) with complete filter design support.
- Signal forecasting
- Standard and extended Kalman filters.
- Spectral analysis, cross spectral analysis and higher order bispectral analysis
- Conversions between different forms of transfer function
- Audio recording and playback components including ASIO.
- interpolated FIR filters, DCT/IDCT
- real factor high accuracy fast rate conversion
Overzicht
Dew Lab Studio for Delphi is Shareware software in de categorie Ontwikkeling ontwikkeld door Dew Research.
De nieuwste versie van Dew Lab Studio for Delphi is 2024, uitgegeven op 23-11-2023. Het werd aanvankelijk toegevoegd aan onze database op 14-11-2014.
Dew Lab Studio for Delphi draait op de volgende operating systems: Windows. De download-bestand heeft een grootte van 145,5MB.
Dew Lab Studio for Delphi niet is nog niet beoordeeld door onze gebruikers.
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