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
– Áttekintés
Dew Lab Studio for Delphi Shareware szoftvere a kategória Fejlesztés fejlett mellett Dew Research-ban.
A legutolsó változat-ból Dew Lab Studio for Delphi a(z) 2024, 2023. 11. 23. megjelent. Kezdetben volt hozzá, hogy az adatbázisunkban a 2014. 11. 14..
a(z) Dew Lab Studio for Delphi a következő operációs rendszereken fut: Windows. A letölt reszelő birtokol a méret-ból 145,5MB.
Dew Lab Studio for Delphi nem volt eddig a felhasználók még.
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