7,970 results

Separation of incoming and outgoing waves or any other signal from a space-time matrix

Separate incoming and outgoing (reflected waves) signal from a dense array (>8 typically). Can be of surface elevation or any other signal.Almar, R., Michallet, H., Cienfuegos, R., Bonneton, P

Trained ANN for modeling the received signal in diffusion-based molecular channel

Trained ANN for modeling the received signal in diffusion-based molecular channel with reflecting spherical transmitter and absorbing spherical receiver.Resource for https://arxiv.org/abs/1611.06079A

Animation to illustrate how a signal travel through a transmission line.

The animation illustrate how a signal gets reflected back and forth for different load resistor values. In the program, by changing Rl different matching condition can be simulated. When

Interactive courseware module that addresses common foundational-level concepts taught in signal processing courses.

# Convolution in Digital Signal Processing[![View on File

The present GUI estimates the reflection and the trasminssion coefficient.

Τhe reflection and the trasminssion coefficient is estimated for various angles incidence depends on the material and its width. Aslo depends on the polarisation.

Interactive module on signal processing theory and real-world applications.

# Digital Signal Processing: Signals and Filter Design[![View on File

This demo shows how to use block listeners to view model signals in a MATLAB user interface.

with an RTW license). In the later case, RTW's External Mode and TCP/IP is used to transfer data from the running executable to the model and thence to the UI.The use of listeners to view signals rather

Given the signal x(t), the function find a0, ak, bk the amplitudes of cos and sin waves.

% wc,w0,a0,ak,bk,c0,ck]=get_harmonics(y,pas)% given a signal x(t),y=x(t)% the function get_harmoniques returns the pulse w0(rd/s) of the signal y(t)% the coefficients ak (a1,a2,...) and bk (b1,b2

simple program for one sided image reflection along a line

program for image reflection

The beginnings of an optical raytrace program with partial GUI interface

An analytical solution of the reflection of a Gaussian pulse over an infinitely long cylinder.

Release 6.1925 of a collection of functions for analysis/display of seismic and well-log data.

2D FDTD of Total Internal Reflection (TIR) phenomenon (glass-air).

and the angle of the plane of propagation of the wave from the source with the x-axis can be specified to suit reflection (TIR) phenomenon (wrt critical angle). The color scaled plot of Ez field over

Companion Software

A collection of functions for 2D and 3D geometric computing (intersections, distance...) on various shapes: polygons, meshes, ellipsoids...

Simulate additional mixed-signal systems with Simulink and Mixed-Signal Blockset

The Mixed-Signal Blockset™ Models provide additional models and examples of typical systems such as PLL, ADC, SerDes, and SMPS highlighting analog/digital integration. The add-on includes tutorials

Reflect points p through a cylinder of radius R with respect to a viewpoint v = [v_x, v_y, v_z]

Use this function to create an anamorphic 3D print that can be viewed in the reflection off a cylindrical mirror.

SC-SAHEL optimization framework for solving single objective optimization problems

Release 10.0301 of a collection of functions for analysis/display of seismic and well-log data.

OCTSEG is a GUI and function collection to segment and visualize retinal layers on OCT data.

Calculates windowed RMS of signals

% Calculates windowed (over- and non-overlapping) RMS of a signal using the specified windowlength% y = rms(signal, windowlength, overlap, zeropad)% signal is a 1-D vector% windowlength is an integer

Photons are propagated through a rectangular shaped LSC using the monte carlo method.

This script calculates the reflection and transmission coefficients for a thin film stack.

This program produces the complex reflection and transmission coefficients of a multilayer stack given the angle of incidence, polarization, wavelength, complex-refractive index of each layer, and

The ElasticMatrix software uses the partial-wave method to model elastic wave propagation in multilayered anisotropic media.

framework and is designed to be easy to use and extend. Methods are provided for calculating and plotting dispersion curves (Lamb waves and other guided waves), displacement and stress fields, reflection and

Predict material properties, surface impedance and absorption coefficients of acoustic absorbers

This function computes the fourier series of a signal

Fourier series of real signals.Written by Dr. Yoash Levron, January 2013.This function computes the fourier series of a signal x(t). The amplitudes of the fourier series have the same dimensionof the

A Simulink model for sampling and reconstruction of analog signal

Simulink model with MATLAB code for the digital signal processing students, in order to help them understand sampling and reconstruction of analog signal. Students can analyse time and frequency

Accepts 1channel EMG and finds number, amplitude, maximum, and duration of contraction periods.

The algorithm accepts an electromyographic signal from one muscle and based on parameters input by the user it finds number, amplitude, maximum, and duration of contraction periods. The output is

Estimation whether a given signal is wide-sense stationarity using a novel method.

The presented codes are two Matlab functions for wide-sense stationarity (WSS) estimation of a signal (e.g., time series) using a novel method developed in two variants. The first variant uses a

CMM-DE/BBO and DE/BBO

2D random walk confined in a circular domain with reflective boundaries

Easily Simulate Chirp Signal Compression of Single/Multiple Range Targets (Without any toolbox).

CSCS (Chirp Signal Compression Simulator) is a Matlab application for easily simulate the single/multi-target linear frequency modulation (chirp) signal compression.Double click the .mlappinstall

Analyse the first reflection in rooms in 2D.

radit2d is a small interactive program that allows the study of room acoustic properties. The principle is to compute the direct sound and the first reflection propagation in a room. The computation

Simulation of analytical model of Reflective Semiconductor Optical Amplifier (RSOA) Model

This code simulates spectrum sensing with and without IRSs under different signal conditions.

This code simulates spectrum sensing in cognitive radio networks under varying scenarios using intelligent reflecting surfaces (IRSs). It considers key parameters, including the signal-to-noise ratio

Numerical simulation tool for Monte Carlo propagation of light in turbid media

requested.3. (Optional) Include Fresnel reflection and refractionCheck out "Example3_RefractionReflection.m" and "Example17_CurvedRefractionReflection.m" on how to implement changing refractive indices in your

M-files for chapters 2-10 and Simulink models for Ethernet and Wireless Ethernet.

Determine how two pictures are blended into each other.

speech signal framing

In this program, we are dividing the speech signal into number of frames about 240. Displaying the specified frame by its number with the original speech signal.

Orthogonal signal generation block that creates alpha/beta signals for single phase systems

This block generates an orthogonal signal using a structure based on second order integrator. It has the advantages of simple implementation, signal filtering without delay due to the resonance at

This m-file can implement a reflection wave behavior of a microstrip line.

Using the file can see how a reflection wave of micro strip line behaves with an unmatched load impedance, it also can present multi-reflection waveform as the strip line is longer than 1/4 wave

Signal framing (segmentation) of a signal for feature extraction on the individual frames (segments).

The present code is a Matlab function that provides a framing (segmentation) of a given signal x[n]. Further, the frames (segments) could be post-processed by the user (e.g., for feature extraction

A toolbox for reconstructing images from gradient data.

Wavelet based Image Reconstruction from Gradient Databy: I.Sevcenco, P.Hampton, P.AgathoklisVersion 1.0October 2014This toolbox can be used to reconstruct an image (2-D signal) from gradient (first

Optimized function for mutual information of two images or signals

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals.Assumptions: 1) 0*log(0)=0, 2) mutual

Convert reflection coefficients into linear prediction coefficients using Levinson recursion.

A = rc2lpc(K): K is vector of reflection coefficients: K = [k1, k2, ..., kp].A is vector of linear prediction coefficients: A = [1, a_p(1), a_p(2),..., a_p(p)]If the second input argument is passed

Detects global reflection symmetry axes inside an image

Elawady, M., Ducottet, C., Alata, O., Barat, C., & Colantoni, P. (2017). Wavelet-Based Reflection Symmetry Detection via Textural and Color Histograms. ICCV 2017 Workshop Challenge: Detecting

MATLAB Code from example used in the Webinar "Signal Processing for Machine Learning"

These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the

Calculate impedance, reflection coefficient, transmission coefficient, and VSWR.

This code let you calculate the value of some of the parameters in circuit impedance analysis.The results show the input impedance input of the system, reflection coefficient between transmission

Live Script shows complex calculations of digital signal processing (DSP) perform to infer info from biological signals acquired by sensors

Controlling biorobotic systems, such as prostheses, from physiological systems is possible as long as an adequate digital processing is carried out on physiological signals, which the user controls

Signal Processing on non-euclidien domain signals

In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal

Implementation of ECG signal compression using Amplitude Thresholding compression

Amplitude Thresholding compression method used here in for ECG signal compression as presented on paper entitled as ECG signal compression with reconstruction via cubic spline approximation by Olga

MVTec Halcon function mex-wrapper

Transfer matrix implementation for planar structure reflectivity, includes various data fitting abilities

Object-oriented toolbox for structural health monitoring education and research

framework for the tasks characteristicto structural health monitoring (SHM) such as, data acquisition, signal processing,system identification in time and frequency domain, modal analysis and damagedetection

Fades leading and trailing samples of a given input signal.

Tapers start and end samples of a given signal for a fade-in and fade-out effect. Fade-in and fade-out durations can be independently controlled. Custom tapering window can be specified also.

This is my term project for the subject linear algebra

statistical digital signal processing, DSP, digital filtering, signal modeling

Suitable for the senior/graduate level in advanced DSP or digital filtering, this text focuses on signal modeling.

Design FIR lowpass/bandpass/highpass filter and filter speech signal.

A standard operation when processing signals is to lowpass/bandpass/highpass filter a speech signal in order to eliminate extraneous low and high frequency components, such as DC offset, hum, and

2-D Finite-Difference simulations of a 1-D travelling wave along positive x-axis.

QR Decomposition or Factorization (Householder Reflections Approach)