Computational complexity

Computational complexity between FBMC/OQAM and OFDM

The computational complexity of filter bank structures can be evaluated by calculating the numberof real multiplications and additions that are necessary to compute a new length-M

Digital Signal Processing Using MATLAB

Companion Software

Computing of Voigt/complex error function with small y

This program file is presented for highly accurate approximation of the Voigt/complex error function with small imaginary argument y ≤ 0.1.

2-D Fast DOST Decompotion and Reconstruction

This is the 2-D Fast DOST Decomposition and reconstruction. The computational complexity is O(NlnN)

This is the 2-D Fast DOST Decomposition and reconstruction. The computational complexity is O(NlnN)This code only take the input of size 2^m x 2^n due to the using of the FFT and the blocking

Computable Complexity Estimates for Finite Binary Strings

Experimental attempt to overcome problems with Shannon's entropy and other complexity measures.

Shor's Algorithm

Theoretical analysis of Shor's quantum factorization algorithm and its implications for modern cryptography and computational complexity

current quantum hardware, and evaluates the cryptographic impact on RSA and ECC security. Includes computational benchmarks and complexity comparisons.

Compute zeta(s) to full double precision for complex s

The MEX interface between MATLAB and the Fortran 90 implementation of the Riemann zeta function. Much faster than MATLAB zeta(s) function.

Riemann_zeta or Riemann_zeta_prime. The resultsare then rounded back to double precision and returned to MATLAB.The computational complexity is O(sqrt(|Im(s)|)) in the critical strip 0<=Re(s)<=1. In other

GIFT

Group ICA/IVA software (MATLAB)

The Voigt/complex error function by vectorized interpolation

Program-shell that accelerates computation of the Voigt and complex error functions for the HITRAN applications.

computation of the large-size input arrays and it meets accuracy requirement for the HITRAN applications. To run the program, download the file from the MATLAB Central, file ID # 66752, and put it to the same

Smooth Takagi decomp. of a complex symmetric matrix function

Numerical computation of a smooth Takagi decomposition of an n-by-n complex symmetric matrix valued function of one real parameter

Smooth singular value decomp. of complex matrix function

Numerical computation of a smooth singular value decomposition of a n-by-n complex matrix valued function of one real parameter

MATLAB Support Package for Quantum Computing

Build, Simulate, and Run Quantum Algorithms

Kolmogorov Complexity

Estimate of the Kolmogorov complexity of a finite time series.

This function estiamtes the Kolmogorov Complexity of a binary sequence. The algorithm is as described in Lempel and Ziv (IEEE trans inf theory IT-22, 75 (1976)) and Kaspar and Schuster (Physical

Computational Colour Science using MATLAB 2e

Colour toolbox that accompanies the second edition of Computational Colour Science using MATLAB

Colour toolbox that accompanies the second edition of Computational Colour Science using MATLAB (Westland, Ripamonti and Cheung, 2012).Toolbox allows spectral interpolation, calculation of colour

calc_lz_complexity

Calculates the Lempel-Ziv complexity of binary sequence - a measure of its "randomness"

This function calculates the complexity of a finite binary sequence, according to the work presented by Abraham Lempel and Jacob Ziv in the paper "On the Complexity of Finite Sequences", published in

Computer Vision Toolbox Interface for OpenCV in MATLAB

Use OpenCV algorithms in MATLAB

Automated Visual Inspection Library for Computer Vision Toolbox

Identify anomalies or defects in images to assist and improve quality assurance processes.

Complexity Entropy Causality Plane using Permutation Entropy

This is a matlab function for estimating parameters of Complexity Entropy Causality plane using Permutation Entropy.

This is a matlab function for estimating parameters of Complexity Entropy Causality plane using Permutation Entropy. This code is inspired and modified for computation in MATLAB from

Computer Vision Toolbox Model for Vision Transformer Network

Implementation of several variants of the vision transformer (ViT) model.

Particle Roundness and Sphericity Computation

Particle Roundness computation

Computer Vision Toolbox Model for YOLO v4 Object Detection

Detect objects using a pretrained YOLO v4 object detection network trained on COCO dataset.

Computer Vision Toolbox Model for OpenAI CLIP Network

The Contrastive Learning Image Pre-Training (CLIP) network is a vision language model that can be used for joint image-text classification.

Computer Vision Toolbox Model for SlowFast Video Classification

Pretrained SlowFast model for Video Classification

Data Acquisition Toolbox Support Package for Measurement Computing Hardware

Acquire and analyze data from Measurement Computing DAQ devices

Computation of Special Functions

MATLAB translation (via f2matlab) of the original FORTRAN of "Computation of Special Functions."

MATLAB routines for computation of Special FunctionsThese routines are a direct translation, performed using f2matlab, of the original FORTRAN-77 implementation of "Computation of Special

Computer Vision Toolbox Model for Moondream Vision Language Model

Moondream is a small footprint vision language model, with image captioning capability.

Computer Vision Toolbox Model for YOLO v3 Object Detection

Pretrained YOLO v3 model for object detection.

Perron root computation

An algorithm that computes the Perron root and Perron vector for an irreducible non-negative matrix.

computation may be required for these application. This function lets you calculate the perron root and the perron vector for non-negative irreducible matrices. Perron root computation is based on the algorithm

MATLAB Contest - Vines

All the files needed to develop and score an entry for the MATLAB^® Programming Contest.

MATLAB Contest - Knots

All the files needed to develop and score an entry for the MATLAB^® Programming Contest.

MATLAB Contest - Flooding

All the files needed to develop and score an entry for the MATLAB^® Programming Contest.

Chebfun - current version

Numerical computation with functions

Fundamental Matrix Computation

This package, implements the 3 standard algorithms for the computation of the fundamental matrix.

Curve intersections

Fast computation of intersections and self-intersections of curves using vectorization.

Computer Vision Toolbox Interface for OpenCV in Simulink

Import OpenCV functions into Simulink.

Computer Vision Toolbox OCR Language Data

Language Data for Optical Character Recognition

SALS Toolbox

Structural Analysis of Linear Systems Toolbox

Fundamental Computations

This is a GUI application for geodetic fundamental computation.

This application contains 4 different fundamental computation methods. First one: calculation of the coordinates of unknown point B with the help of azimuth angle of point A and distance between

The Matrix Computation Toolbox

A collection of M-files for carrying out various numerical linear algebra tasks.

The Matrix Computation Toolbox is a collection of MATLAB M-files containing functions for constructing test matrices, computing matrix factorizations, visualizing matrices, and carrying out direct

Computer Vision Toolbox Model for MapAnything Network

Pretrained MapAnything Model to perform 3D reconstruction from images

Computer Vision Toolbox Model for Text Detection

Pretrained CRAFT deep learning network to detect the text regions in the input image.

Computer Vision Toolbox Interface for Nerfstudio Library

MATLAB interface for Nerfstudio, an open-source library for working with Neural Radiance Fields (NeRFs).

Computational Geometry Toolbox

Convex hull, mesh generation, Delaunay triangulation, Voronoi diagram and other algorithms.

, structural or not, to be numerically analysed.Apart from this, they can be used to solve various problems of computational geometry, such as:- convex hulls- intersections- triangulation and partitioning- line

The Computation of Pi by Archimedes

Archimedes wrote 3 1/7 > pi > 3 10/71. This is how he did it.

computation is repeated and explained here using MATLAB.

Generalized SEIR Epidemic Model (fitting and computation)

Numerical implementation of an extended SEIR model with time-dependent death and recovery rates

Generalized SEIR Epidemic Model (fitting and computation)DescriptionA generalized SEIR model with seven states [2] is numerically implemented. The implementation is done from scratch except for the

Computer Vision Toolbox Model for Object Keypoint Detection

Object Keypoint Detection is a pretrained deep learning model for human keypoint detection that detects 17 keypoints of each person an image

Computer Vision Toolbox Model for RTMDet Object Detection

Detect objects using a pretrained RTMDet object detection network trained on COCO dataset.

Computer Vision Toolbox Model for RetinaFace Face Detection

Pre-trained RetinaFace model for face detection

MATLAB Contest - Tiles

All the files needed to develop and score an entry for the MATLAB^® Programming Contest.

Modelling of 2D Shapes with Ellipses

Representation of a given 2D shape with an automatically determined number of ellipses.

evaluated based on theAkaike Information Criterion (AIC). This considers a novel, entropy-based shapecomplexity measure that balances the model complexity and the model approxi-mation error. In order to

Computation Of Antenna Array Paterns plot

Simple matlab program for Computation of Antenna Array patterns and plotting the patterns

Computer Vision Toolbox Model for Pose Mask R-CNN 6-DoF Object Pose Estimation

Pre-trained Pose Mask R-CNN model for 6-DoF object pose estimation that supports inference and transfer learning.

Surface Curvature

Vectorized surface curvature computation

Computer Vision Toolbox Model for Grounding DINO Object Detection

Grounding DINO is a zero-shot pre-trained Vision Language Model (VLM) that enables open vocabulary, text-prompted object detection.

Computer Vision Toolbox Model for RAFT Optical Flow Estimation

Pre-trained RAFT deep learning model for optical flow estimation in videos

Computer Vision Toolbox Model for Apple Depth Pro Network

Pre-trained Apple Depth Pro model for inference

Computer Vision Toolbox Model for SOLOv2 Instance Segmentation

Pre-trained SOLOv2 for instance segmentation.

Randomness Properties

5 Randomness tests

The following 5 tests are implemented:1. Linear Complexity2. Probability LC Finite3. LC Periodic Infinite4. Topology Binary Test5. K-Error LC FiniteThe help is also provided to explain each test.

Open Genetic Algorithm Toolbox

This is a toolbox to run a GA on any problem you want to model.

Computer Vision Toolbox Model for Mask R-CNN Instance Segmentation

Pretrained Mask-RCNN for instance segmentation and object detection.