| This page was generated automatically from The Delphi Super Page archive. If you have any remarks concerning this page please do not hesitate to mail me. In your mail please do refer to your unique DSP author ID which is 0003492. This helps me to locate your data records in DSP databse. |
| Author/SiteName(Contact) | Home Page | |
| Dew Research (Janez Makovsek) | [email] | [Home] |
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| Files |
| [ DewLS20.zip ] [ 14,021,493 bytes ] | [ Shareware ] [ No Source ] [ D6 | D7 | D2 | C6 ] | ||
| Dew Lab Studio 2.0 trial. Contains MtxVec 2.0 , DSP Master 2.0 add-on and Stats Master 2.0 add-on for MtxVec numerical math library and Dew Data Miner. Support for D6, D7, D2005 and CB6. MtxVec feature list: object oriented numerical library for Delphi and C++ Builder users. Complete support for complex numbers for all functions in single or double precision. Matrix operations: Solving a system of linear equations with refinment and condition number via LU, QR or SVD decomposition, Inverse of the matrix, Eigenvalues and eigenvectors, Sylvester equation, Teoplitz system solver, 2D FFT, Inverse 2D FFT, 2D real FFT, Square root of the matrix, Logarithm of the matrix... Vector operations: autocorrelation, circular convolution, cross correlation, forward and inverse discrete cosine transform, forward and inverse FFT, Geortz'el algorithm, Hilbert transform... Probability distributions PDF, CDF and Inverse CDF: binomial, geometric, hypergeometric, negative binomial, Poisson, discrete uniform, beta ,Cauchy, chi-squared, exponential, F, gamma, Maxwell, normal, Pareto, Rayleigh, Student (T), Continuous uniform, Weibull.. Sparse matrix operations: Solver for banded sparse matrices, Iterative sparse solvers: SGS, CG, BC, CS, GMRES, OM with LU preconditioning. Direct sparse solver for non-symmetric matrices. Conversions supported between: Banded, Dense, Sparse and Triplets matrix formats. Performance features: CPU specific optimizations, Critical functions optimized in assembler, symmetric multiprocessing, block processing support for vectors, fast object create and destroy, thin object layer, vector/matrix design. Special functions: complete elliptic integrals, Jacoby elliptic functions, Airy function and its derivative, Airy function of second kind and its derivative, Bessel functions: J, Y, I, K and H, associated Legendre polynomials. Math parser capable of parsing equations with real and complex numbers. Customizable operators, functions and variables. Polynomials: Finding roots, polynomial evaluation, Cubic splines, Linear and cubic interpolation algorithms, construction and evaluation of piece-wise polynoms, polynomial division (deconvolution) and multiplication (filter). Optimization methods: Brent, BFGS, Marquardt and Nelder-Mead minimization methods, numerical gradient and Hessian matrix and more... Management functions: save and load matrices in different formats: binary, text, matrix-market. View matrices with built-in viewer. Visualize vectors and matrices on the charts, Store data in different precisions. Edit and display complex numbers, A thread component allows you to quickly provide efficient progress indicators and cancel option for your numerical algorithm. Stats Master Features: Among others it containes: 19 different distributions (PDF, CDF and inverse CDF function), mean and variance for all 19 distributions, random generators for 15 distributions, parameter estimate for beta, binomial, exponential, gamma, geometric, normal, Poisson, continuous uniform and Weibull distribution. Descriptive statistics: histograms, ogives nth-Moment, percentile, range, Interquertile Range IQR, mean, harmonic mean, geometric mean, trimmed mean, median, skewness, kurtosis, standard deviation, root mean square RMS, minimum, maximum, covariance, correlation matrix, cumulative sum. Principal component analysis (PCA): PCA by using the covariance matrix, PCA Residuals, Barlett test for dimensionality, Hypothesys testing: Nonparametric tests (sign test, Wilcoxon tests) Parametric tests (one-sample t-test, two-sample paired/unpaired t-test), Z test, Regression models: linear (weighted, unweighted), multiple linear (weighted, unweighted), ridge regression, non-linear regression (using the BFGS, Marquardt or Simplex method) , one-way and two-way ANOVA. Optional install: Statistical charts (precondition - installed TeeChart v5 PRO) normal plot, QQ plot, XBar plot, SPS charts, Weibull plot, Box plot, Histogram plot. The package is built on top of MtxVec numerical library, and takes advantage of CPU specific optimizations, dynamic memory allocation and object oriented design. DSP Master features: A signal processing add on package for the MtxVec numerical library The algorithms include: IIR (butterworth, elliptic, chebyshev type I and type 2) and FIR (window, remez exchange, Savitzky Golay) filter designers, functions for order estimation of filters, autoregressive linear prediction with spectral estimators (Yule Walker, Burg, Covariance, Modified Covariance), window functions (Hanning, Hamming, Kaiser, Chebyshev...), phase unwrapping, group delay estimation, real and complex cepstrum, hilbert transformers, linear phase differentiators and integrators, chirp-Z transform, frequency domain integration and differentiation. Over 30 included components feature: Support for streaming pipelines, frequency analyzer with band statistics and peak marking, real time higher order spectral analyzer (estimates bicoherence), real time cross-spectral analyzer (estimates coherence and transfer function), signal generator, read/write different text, binary and wav files with streaming support, multi-rate multi-stage half-band interpolator, decimator and demodulator (zoom spectrum), envelope detection, audio playback and recording with trigger and monitor function, peak file creation for file browsing, threaded multimedia timer, peak interpolation in the frequency spectrum, spectral statistics (Noise floor, SFDR, THD, THDN, SINAD, RMS, SNR), TeeChart extensions include: two new TTeeTools for marking and measuring of signals, two new TChartSeries components for drawing of signals, two new TChart descendants allow visual connection of real time signals to charts for display. Support for 24 bit audio. Data Miner features: Data miner is a set of components for classification for Borland Delphi written in 100% VCL. The algorithms included cover: KNN and Naive Bayes plus a third completely new algorithm named Linear Classifier. The algorithms can work on real and discrete data and can be connected to a TDataSet descendant. They appropriatelly handle missing data and are all capable of incremental learning. Added: 14-08-2000/25-07-2005 | Version: 2.0 | Downloads: 1856/1800/21
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| [ promath1.zip ] [ 416,891 bytes ] | [ Freeware ] [ No Source ] [ D4 | D5 | D6 | C4 | C5 | K1 ] | ||
| Probabilities package is a selection of probabilities functions: PDF, CDF and Inverse CDF for 19 different distributions (binomial, geometric, hypergeometric, negative binomial, Poisson, discrete uniform , beta, Cauchy, chi-squared, exponential, F, gamma, Maxwell, normal, Pareto, Rayleigh, Student (T), Continuous uniform, Weibull....) This code had been taken from MtxVec 1.02 and does not require any dll's, but also does not offer any vector processing acceleration routines. The package also includes a Math unit, which can serve as a replacement for default Delphi Math unit. Next to many basic math functions it also offers complete support for complex numbers. [more] Free for non-commercial use. Source for sale (49 USD) Added: 6-08-2001 | Version: 1.02 | Downloads: 3100/3100/12
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| [ MtxSta11.zip ] [ 2,052,130 bytes ] | [ Shareware ] [ No Source ] [ D4 | D5 | D6 | D7 ] | ||
| Add-on statistical package for MtxVec includes: Among others it containes: 19 different distributions (PDF, CDF and inverse CDF function), mean and variance for all 19 distributions, random generators for 15 distributions, parameter estimate for beta, binomial, exponential, gamma, geometric, normal, Poisson, continuous uniform and Weibull distribution. Descriptive statistics: histograms, ogives nth-Moment, percentile, range, Interquertile Range IQR, mean, harmonic mean, geometric mean, trimmed mean, median, skewness, kurtosis, standard deviation, root mean square RMS, minimum, maximum, covariance, correlation matrix, cumulative sum Principal component analysis (PCA): PCA by using the covariance matrix, PCA Residuals, Barlett test for dimensionality, Hypothesys testing: Nonparametric tests (sign test, Wilcoxon tests) Parametric tests (one-sample t-test, two-sample paired/unpaired t-test), Z test, Regression models: linear (weighted, unweighted), multiple linear (weighted, unweighted), ridge regression, non-linear regression (using the BFGS, Marquardt or Simplex method) , one-way and two-way ANOVA. Optional install: Statistical charts (precondition - installed TeeChart v5 PRO) normal plot, QQ plot, XBar plot, SPS charts, Weibull plot, Box plot, Histogram plot. The package is built on top of MtxVec numerical library, and takes advantage of CPU specific optimizations, dynamic memory allocation and object oriented design. [more] Includes support for Delphi7. On-line help available at: Added: 20-08-2001/5-05-2003 | Version: 1.1 | Downloads: 355/355/1
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| [ DMiner10.zip ] [ 1,326,646 bytes ] | [ Shareware ] [ No Source ] [ D4 | D5 | D6 ] | ||
| Data miner is a set of components for classification for Borland Delphi written in 100% VCL. The algorithms included cover: KNN and Naive Bayes plus a third completely new algorithm named Linear Classifier. The algorithms can work on real and discrete data and can be connected to a TDataSet descendant. They appropriatelly 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 key charachteristics of classification algorithms. The classification algorithms from the Data Miner are used to tackle the same kind of problems as neural networks. Includes support for Delphi 7. On-line help system can be viewed on: Added: 5-05-2003 | Version: 1.01 | Downloads: 246/246/1
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| [ MtxDSP10.zip ] [ 4,220,735 bytes ] | [ Shareware ] [ No Source ] [ D4 | D5 | D6 | D7 ] | ||
| DSP for MtxVec is a signal processing add on package for the MtxVec numerical library The algorithms include: IIR (butterworth, elliptic, chebyshev type I and type 2) and FIR (window, remez exchange, Savitzky Golay) filter designers, functions for order estimation of filters, autoregressive linear prediction with spectral estimators (Yule Walker, Burg, Covariance, Modified Covariance), window functions (Hanning, Hamming, Kaiser, Chebyshev...), phase unwrapping, group delay estimation, real and complex cepstrum, hilbert transformers, linear phase differentiators and integrators, chirp-Z transform, frequency domain integration and differentiation. Over 30 included components feature: Support for streaming pipelines, frequency analyzer with band statistics and peak marking, real time higher order spectral analyzer (estimates bicoherence), real time cross-spectral analyzer (estimates coherence and transfer function), signal generator, read/write different text, binary and wav files with streaming support, multi-rate multi-stage half-band interpolator, decimator and demodulator (zoom spectrum), envelope detection, audio playback and recording with trigger and monitor function, peak file creation for file browsing, threaded multimedia timer, peak interpolation in the frequency spectrum, spectral statistics (Noise floor, SFDR, THD, THDN, SINAD, RMS, SNR), TeeChart extensions include: two new TTeeTools for marking and measuring of signals, two new TChartSeries components for drawing of signals, two new TChart descendants allow visual connection of real time signals to charts for display. [more] Includes support for Delphi 7. On line help system at: Added: 5-05-2003 | Version: 1.0 | Downloads: 397/397/1
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