A-weighting Filter with Matlab

A-weighting of a signal via spectral processing in the frequency domain.

The present code is a Matlab function that provides an A-weighting of a given signal via spectral processing. Two examples are given to clarify the usage of the function. For convenience, the input

octave

Generates normalized A-weigthing, -weighting, octave and one-third-octave digital filters.

This series of M-files generates normalized A-weigthing, C-weighting, octave and one-third-octave digital filters. These type of filters are commonly used in acoustical measurements, for example, in

CalibrateVoiceSpl

Scripts for SPL calibration of voice signals, with examples

Reverberation Time Calculator

Calculates Reverberation Time from multiple microphones using time records

rt_script.m is the main program. It produces a text file and a pdf file to document the reverberation time estimate. Two measurement methods can be used 1) speaker on-speaker off method, and 2

Continuous Sound and Vibration Analysis

This program analyzes sound and vibrations data using metrics for continuous noise and vibrations.

: peaks, Leq, LeqA, LeqC, kurtosis, third octave band peaks and levels, and more. Vibration metrics for hand-arm include: arms, armq, Dy, peak, crest factor, kurtosis, third octave band levels and peaks

Sound Level Meter

Implements real-time spectrum analyzer and displays decibel level.

This tutorial/demo presents the design of a sound level meter in Matlab. The Data Acquisition Toolbox is used to implement a real-time spectrum analyzer. The decibel meter is implemented in the

Calibrated Spectral Analysis

Simple Fourier Spectral Analysis of sound pressure time record.

. pressure_spectra is the main program and allows the user to input the bin_size, number of averages, sampling frequency, and has options for maximizing the number of averages and forcing the bin_size to a factor of 2.

ACOUSTIC MEASURES IN VIDEO SUBTITLES

Scripts for intergrating basic acoustic measures (SPL and fo) as video subtitles

Acoustics

This software can be used for recording and analysis of analog voltage, sound and acceleration signals both in time and frequency domain.

GUI.Following functions are just a selection of what can be done with this tool. For more information read the manual.-Simultaneous recording of 4 channels: voltage, sound or acceleration signals-Supported

NOCAD - Network based Observability and Controlability Analysis of Dynamical Systems toolbox

Network theory based analysis of controlability and observability of state space models

Nth_Oct_Hand_Arm_&_AC_Filter_Tool_Box

Features Nth octave band, Hand Arm, and A and C weighting filters

sound levels and other metrics given a time record in Pa. ACweight_time_filter: applies an A or C weighting filter to a time record and returns the A or C weighted time record.ACdsgn: designs A and C

Impulsive Noise Meter

Calculates Impulsive noise metrics for hazardous acoustic noise assessment.

Fractional Octave Band and A, B, C Weighting Filters DF2T SOS IIR Matlab and limited Labview

This is a Direct Form 2 Transposed Cascaded Second Order Sections IIR implementation of Filters.

ABC weighting is accomplished using the ABC_time_filter program. Fractional Octave Band Filtering is accomplished using the Nth_oct_time_filter_df2tsos program. ABC_time_filter and

MatTuGames

A Matlab Toolbox for Cooperative Game Theory

Courseware on Finite Element Methods

[MATLAB^®](https://www.mathworks.com/products/matlab.html) Live Editor and the [Symbolic Math Toolbox™](https://www.mathworks.com/products/symbolic.html) for the development and the presentation.\\Additionally, a comprehensive (but not exhaustive) set of

Octave spectrum (ANSI S1.11-2004)

Function for estimating the octave spectrum of a given signal.

weightFlag = A-weighting [0,1], default value: 1 plotFlag = generate octave diagram [0,1], default value: 1OUTPUTS S = octave spectrum (dB) fm = midband frequency overall_lev = overall level

draw ellipsoid

This function draws ellipsoid in 2D for a given weighting matrix

H∞ Mixed Sensitivity Controller With Automatic Weights

H∞ mixed sensitivity controller with a MOPSO based automatic weighting selection.

H∞ mixed sensitivity controller with a MOPSO based automatic weighting selection that can efficiently be used using limited resources to achieve performance specifications.

C-weighting Filter with Matlab

C-weighting of a signal via spectral processing in the frequency domain.

The present code is a Matlab function that provides a C-weighting of a given signal via spectral processing. Two examples are given to clarify the usage of the function. For convenience, the input

Cohen's Kappa (with customizable weightings)

A script to calculate Cohen's Kappa with the ability to do customizable weightings.

allowed you to calculate unweighted, linearly weighted, and quadratically weighted Cohen's Kappa. All that I have done is allow you to enter in a custom weighting matrix for use if your weights are not

percentile_level.m

N%-percentile level of a wavefile using F,S or I temporal constants and A, C, Z weighting networks

numeric in% seconds% w: weighting network % 'A' (default): A-weighted; 'C': C-weighted; 'Z': non-weighted% N: # of sampes by frame (2^16 default)* % Fs

customGray

Create a custom grayscale image of an RGB--specify weightings or select from predefined versions.

input type. (This allows visualization of a wide dynamic range.)customGray images can improve visualizations and facilitate image segmentation.

fNIRS-based Analysis in Young Adults with higher BP Scores

A GA (binary_ga.m, MATLAB R2024b) performed feature selection and weighting for fNIRS data analysis.

1. Genetic Algorithm (GA) for Feature Selection and Weighting(1) A GA (binary_ga.m, MATLAB R2024b) performed feature selection and weighting (Left Fig.). Features were normalized to [0,1] and split

Sound Level Meter (Real Time Mode and Record Mode)

Sound Level Meter (Real Time Mode and Record Mode)

,C, Z weighting / Fast, Slow weighting) - FFT (A,C, Z weighting / 2048, 4096, 8192 Resolution) - Band-Octave Frequency Analysis ( 1/1 , 1/3, 1/12 octave) - Waveform - Windowing

Noise Measurement with Matlab

Estimation of the Noise PSD and Noise Voltage referred to the output of a circuit.

- weighting; - the average PSD after A- or C- weighting; - the output noise (by TrueRMS Voltmeter) before A- or C- weighting; - the output noise (by TrueRMS Voltmeter) after A- or C- weighting. Two examples are

Inverse Distance Weight

Inverse distance weighting (IDW) multivariate interpolation.

The code performs an Inverse distance weighting (IDW) multivariate interpolation, i.e. a process of assigning values to unknown points by using values from usually scattered set of known points.The

Flow Accumulation (upslope area)

Flow accumulation algorithm that routes through flats

flow direction- routes across flats- calculates deterministic, randomized and random flow- allows you to specify a weighting exponent that governs the relation flow direction - slope- handles edge

FILLNANS

FILLNANS replaces all NaNs in array using inverse-distance weighting between non-NaN values.

FILLNANS replaces all NaNs in array using inverse-distance weighting.Y = FILLNANS(X) replaces all NaNs in the vector or array X by inverse-distance weighted interpolation: Y =

Demonstration of Astar (A*)

Pathfinding algorithm Astar (A*)

How do you find the shortest path from one point to another in a computationally efficient way? The A* algorithm provides one implementation where the distance to the goal is considered as a

Mean Variance Portfolio Optimization of S&P 500 Stocks

Example Portfolio optimization that can be used for backtesting cross-sectional stock strategies

optimal weighting allocation across S&P500 stocks over a historical lag period. It is setup to download most recent s&p500 data (this step can be commented out) and optimize historical day to

Sound Level Instrument

Here is an instrument for the measure of sound. With this application you can study the sound through a spectrum in octave-bands.

)).- Resolution: octave-bands or 1/3 octave-bands can be chosen.- Weighting: Clean, A Weighting, C Weighting.Hope you enjoy it!

summarize

This function mimics Stata's summarize command.

This function finds summary statistics of X, which can be a column vector or matrix.Additionally, allows for computation of weighted statistics (if user supplies weighting vector or matrix) and

Finite-time port-controlled Hamiltonian design

These are the codes for finite-time port-controlled Hamiltonian design for second-order dynamical systems.

state-dependent differential Riccati equation (SDDRE) is an optimal nonlinear design in the company of a finite-horizon cost function that manipulates the terminal time using a weighting matrix of states. This

Suspension Bridge Picking Algorithm (SBPx)

The SBPx algorithm estimates the onset of impulsive signals in time series data

SBPx_description.pdf.The function call_SBPx_picker.m shows an animation of what the algorithm does with an example waveform.The algorithm is called Suspension Bridge Picker (SBPx) because the weighting function resembles a

Absolute Orientation - Horn's method

Solves weighted absolute orientation problem using Horn's quaternion-based method.

ABSOR is a tool for least squares estimation of the rotation -- and optionally also thescaling and translation -- that maps one collection of point coordinates to another. It is based on Horn

IEV channel combination

IEV represents an algorithm for local frequency mapping from multi-ch and multi-echo data

Junmin Liu, David A. Rudko, Joseph S. Gati1, Ravi S. Menon and Maria Drangova"Inter-echo variance as a weighting factor for multi-channel combination in multi-echo acquisition for local frequency

Savitzky-Golay smooth/differentiation filters and filter application

Routine to generate Savitzky-Golay smoothing and differentiation filters and routine to apply these

. savitzkyGolayFilt(X,N,DN,F,W) specifies a weighting vector W with length F containing real, positive valued weights employed during the least-squares minimization. If not specified, or if specified as empty, W defaults

Iterative Closest Point

An implementation of various ICP (iterative closest point) features.

plane as well as a couple of other features such as extrapolation, weighting functions, edge point rejection, etc.For an introductory text on the ICP algorithm and the implemented variants, see

Custom 2D Gauss

Generates a customized 2D gauss

Create a custom 2D gauss, which can be used for filtering, weighting, etc. All parameters are customizable, including standard deviations (sigmaX, sigmaY), rotation (theta), result size, center, etc.

Create a colored, tilted 2D error ellipse scatter plot.

Create a colored, tilted 2D error ellipse scatter plot.

I had been searching for this for a while. I think it is pretty useful for data with 2D uncertainty. In my case, it was also tilted. It also creates a colormap based on some weighting function.

Time response of multi degree of freedom systems undergoes f

This function provides a tool for free vibration time response of a multi degree of freedom (n-DOF) system.

the free vibration is that the time response of the vibrating system is a superposition of different modes but each of them with a weighting coefficient and a phase delay.There are three sample files

JPEG Baseline Encoder

This baseline uses an encoding scheme based on the Discrete Cosine Transform (DCT).

The JPEG compression scheme is divided into the following stages:1. Transform the image into an optimal color space.2. Adjust Aspect Ratio 16:93. Digitization Scheme 4:2:0.4. Apply a Discrete Cosine

Phased Array demo, beam steering and focusing

A simple and immediate script which simulates a multibeam phased array

The user can generate as many beams he wants, by setting steering angle, focalization and intensity.Number of array elements can be set.Different weighting windows can be set to reduce sidelobes.Just

PLS-SEM Toolbox

Structural Equation Model through Partial Least Squares approach (PLS-SEM)

factor scores and weighting schemes can be used. Moreover, it comprises modular routines for computation of bootstrap confidence intervals, model parameters and several quality indices. Numerous graphical

Stabilization of Inverted Pendulum System using Intelligent

Control of Inverted Pendulum using Optimized LQR controller.

A new approach for the design of Linear Quadratic Regulator Controllers using weighting matrices obtained by Metaheuristic Algorithm is presented in this source code. The designed controller is used

Simultaneous Feature Selection and Weighting – An Evolutionary Multi-objective Optimization Approach

An algorithm for feature selection and weighting to enhance classifier performance.

This is an implementation of the algorithm proposed in [1]. It presents a new feature selection and weighting method aided with the decomposition based evolutionary multi-objective algorithm called

Quad tree decomposition using varience

Function performing quadtree decomposition of an image using varience criterion for splitting.

(optionally weighted), then the block is split further. The weighting has an effect on the splitting similar to pre-processing the image using for example a median filter. For example usage see

Image contrast enhancement using histogram equalization with maximum intensity coverage

Image contrast enhancement using histogram equalization with maximum intensity coverage

The histogram equalization process is a simple yet efficient image contrast enhancement techniquethat generally produces satisfactory results. However, due to its design limitations, output

Weighted Grid Points

Computes the Lobatto points for an arbitrary weight.

Construct a symbolic nonnegative weighting function w(x) on the interval [-1,1] and this script constructs the family of polynomials which are orthogonal with respect to the weight. Then the extrema

Loudness weighting coefficients

Calculate loudness weighting coefficients based on ISO 226

LOUD_WEIGHT(F,PHON) returns loudness weighting coefficients at the loudness level PHON. PHON should be a scalar and, according to the standard, is only valid at all frequencies such that 20<=PHON<80

WNCC - Weighted Normalized Cross Correlation

Performs pattern matching in an image via normalized cross correlation but with a weighted template

largely ignore anything not very close to a cross shaped ROI. In particular, this weighting will allow the artifacts to be ignored. The improved result (note colorbars) is shown in the WNCC image (bottom

Gammatone-based (auditory) spectrograms

Calculates a spectrogram-like time-frequency intensity matrix based on Gammatone filters.

, which can be used as a replacement for a conventional spectrogram. It also provides a fast approximation to this surface based on weighting the output of a conventional FFT. The underlying Gammatone

Automatic Robust NL-means denoising filter for additive and multiplicative noise

Automatic Robust NL-means denoising filter for additive and multiplicative noise.

Most denoising methods require that some smoothing parameters be set manually to optimize their performance. Among these methods, a new filter based on nonlocal weighting (NL-means filter) has been

fSGolayFilt

Fast Savitzky Golay filter as multi-threaded C-Mex

fSGolayFilt is a fast polynomial smoothing filter for uniformly spaced signals. This implementation offers less flexibility than other versions found in the MATLAB Central (eg. from Jianwen Luo

Weighted and unweighted linear fit

Fit data points with different standard deviations by weighting them.

% This code fits makes a linear fit to a data set (using y =bx+a) where each data point% has a different or constant standard deviation. Your data should have three or two columns.% The first column

Gaussian of Differences: a general image fusion method

MATLAB codes for the fusion of infrared and visible images, multi-focus images, multi-modal medical images, and multi-exposure images.

, pixel-based image fusion method is proposed that relies on weighting the edge information associated with each pixel of all of the source images proportional to the distance from their neighbors by employing a

Feature Selection Based on Interaction Information

Self-contained package for feature selection based on mutual information/interaction information.

This is a self-contained package for running feature selection filters: Given a (usually large) number of noisy and partly redundant variables and a target choose a small but indicative subset as

Steganography using LSB substitution

The term steganography means “cover writing”

This is a simplest steganographic technique that embeds the bits of secret message directly into the least significant bit (LSB) plane of the cover image. In a gray-level image, every pixel consists

Low sidelobe taper design for uniform linear arrays using the iterative Fourier technique

The function SidelobeSynthesis synthesizes using the iterative Fourier technique for a linear array

SIDELOBESYNTHESIS computes for a linear array antenna with uniform element spacing an amplitude taper that matches the user defined sidelobe level (SLL) requirement. The program applies the iterative

Hann Weighting MIMO Communication

Beam pattern of desired shape can be obtained by changing the weight of each sensor output.

The beam pattern of the desired shape can be obtained by changing the weight of each sensor output.Using this technique a beam pattern with desirable output can be obtained. Hann weighting provides