Vectors

Illustrator excels when it comes to working with Vector objects, but in order to make great art with vectors, you need to understand how to create objects and type in Illustrator. This tutorial shows you how ... This comprehensive 3-hour tutorial shows you all aspects of working with vectors in...

The MarshallSoft AES Library for C/C++ (AES4C) is a toolkit that allows software developers to easily implement strong encryption and decryption into a Windows C/C++, Visual C++, .NET or Visual C# application. AES4C is a component (DLL) library that provides an easy interface to...

The MarshallSoft AES Visual FoxPro Library (AES4FP) is a toolkit that allows software developers to easily implement strong encryption and decryption into a Windows FoxPro application. AES4FP is a component (DLL) library that provides an easy interface to to perform encryption and...


Platforms: Windows, Windows 8, Windows 7, Windows Server

This is a templated library of numerical base classes which implement basic data structures like complex numbers, dynamic vectors, static vectors, different types of matrices like full matrices, band matrices, sparse matrices, etc. and also included a representation for Tensors and its typical...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

The MarshallSoft AES Delphi Library (AES4D) is a toolkit that allows software developers to easily implement strong encryption and decryption into a Windows Delphi or .NET application. AES4D is a component (DLL) library that provides an easy interface to to perform encryption and decryption...


Platforms: Windows, Windows 8, Windows 7, Windows Server

This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each...


Platforms: Matlab

Although MATLAB is supposed to support both writing and reading data from the serial port, reading data seems to either produce no result, generate an error, or crash MATLAB. To remedy the situation SerialIO() has been written. This function will allow you to set/get vectors of data from the...


Platforms: Matlab

Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma densityThe toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/The matlab files enclosed in this toolbox can be used to tabulate gain functionsfor clean speech complex-DFT, magnitude-DFT and magnitude...


Platforms: Matlab

This function is a more robust and improved version of my previous submission, matchingpursuit.mThis function computes the projection of a given input vector or matrix onto a "dictionary" of other vectors or matrices using a matching pursuit algorithm. Users may input a vector to be synthesized,...


Platforms: Matlab

[FDOUT, FREQ_AXIS] = FDCORR(A,B,FRANGE)FDCORR Joint frequency and delay correlation Performs an efficient circular cross correlation between two vectors over all possible frequency offsets (Dopplers) between -pi and pi where 2pi is the sampling rate.A: vector representing received signal sampled...


Platforms: Matlab

Uses fft to calculate the circular cross correlation of two periodic signal vectors.This is equivalent to xc(k)=sum(u1.*circshift(u2,k)), but much faster (on the order of 500 times faster for a 1024 point signal).The package also includes two examples. One checks the calculation against the...


Platforms: Matlab

This zip file contains two functions: STR2BIN converts an ASCII text string to a vector of binary values, and BIN2STR converts a vector of binary values back to an ASCII text string.


Platforms: Matlab

Matlab source code for the test vectors and Simulink model for physical layer.This model is based on Physical Layer Specification of IEEE 802.16e and ETSI HiperMAN. Run Data.m to copy data to workspace and then run the WiMAX model.


Platforms: Matlab

Dilates a time series input and resizes it to the orignal sample lengthinput. If a matrix is input, dilation is done along columns. % The up/downsampling is done via resample.m, so low-pass filtering of theup/downsampling is automatically implemented. An anti-alaising, lowpassfilter is applied to...


Platforms: Matlab

This function treats a matrix as a column-wise set of signals and circularly shifts each column so that it aligns with the first column of data so that the inner product between those columns is maximized with respect to all other shifts. USAGE:[dataout,lagout]=xcorAlign(data);If only 1 output is...


Platforms: Matlab

zpkfit uses the nonlinear least-squares fitter (lsqnonlin) to fit an analytic model of any (fixed) number of poles and zeroes to numerical (presumably measured) frequency response data. It takes as arguments a frequency vector, a frequency response vector, and vectors of the initial guesses of...


Platforms: Matlab

findFFT returns fft amplitude and frequency vectors from input data, with options to return normal fft, zeropadded fft, windowed fft, or both windowed and zeropadded to remove spectral leakage.IN data - vector containing information to perform fft on '-sampFreq',## - inputs sampling frequency of...


Platforms: Matlab

For vectors, Y = RUNMEAN(X,M) computes a running mean (also known as moving average) on the elements of the vector X. It uses a window of 2*M+1 datapoints. M an positive integer defining (half) the size of the window. In pseudo code: Y(i) = sum(X(j)) / (2*M+1), for j = (i-M):(i+M), and...


Platforms: Matlab

CONV_MTX Convolution matrix. If 'x' is a column vector of length 'nx', then conv_mtx(x,nh) gives a toeplitz matrix 'X' of size (nx+nh-1) times (nh). 'nh' is the length of the column vector 'h' with which 'x' is convolved. Thus finally 'X*h' is same as conv(x,h). If 'x' and 'h' are row vectors,...


Platforms: Matlab