Provides acoustical background necessary to understand the role of sound in speech communication. Analyzes constraints imposed by the properties of sound and human anatomy on speech production (sound production from airflow and filtering by the vocal tract); auditory physiology (transformation of acoustical waves in the air to mechanical vibrations of cochlear structures); and sound perception (spatial hearing, masking, and auditory frequency selectivity). The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include: 1. the acoustic cues used in determining the direction of a sound source, 2. the acoustic and mechanical mechanisms involved in speech production and 3. the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear

This lesson plan creates a classroom database collecting information on books that students have read over a period of time determined by the teacher and/or students. By sorting and filtering, students evaluate the data and can later create other products from their findings.

In this module, the basics of digital filtering is discussed.

This module discusses the implementation of a DirectShow filter designed to remove laugh tracks from audio streams. It is part of a series discussing the implementation of a real-time laugh track removal system. A link containing a working version of the filter is provided.

Average stock price as an example of discrete-time filtering.

A brief introduction on how to filter digital signals

Compares the efficiency of frequency domain and time domain filtering.

An example of using a Finite Impulse Response filter.

This module describes FFT, convolution, filtering, LTI systems, digital filters and circular convolution.

This module demonstrates the effect that a time-invariant filter can have on periodic waveforms.

This course outlines the steps in a Elec 301 project for Fall 2005. The projects takes in heart rhythms and analyzes them. Group Members: Grant Heberton, Robert McArthur, Anish Patel, and Erick Tournier.

Investigation of different aspects of filtering in the frequency domain, particularly the use of discrete Fourier transforms.

Describes the use of the discrete Fourier transform for filtering signals in the frequency domain.

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms), adjoint/Pontryagin principle methods, model testing, etc. Second part focuses on stationary processes, including Fourier methods, z-transforms, sampling theorems, spectra including multi-taper methods, coherences, filtering, etc. Directed at the quantitative combinations of models, with realistic, i.e. sparse and noisy observations.

Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms), adjoint/Pontryagin principle methods, model testing, etc. Second part focuses on stationary processes, including Fourier methods, z-transforms, sampling theorems, spectra including multi-taper methods, coherences, filtering, etc. Directed at the quantitative combinations of models, with realistic, i.e. sparse and noisy observations.

This module contains 55 online signal processing simulations created in National Instruments LabVIEW. These simulations provide examples to textbook signal processing concepts. These simulations include aliasing, convolution, effects of windowing in the

This module serves as the start point for a series containing information about implementing a real-time laugh track removing DirectShow filter. Included are topics such as signal analysis, detection methods, and implementation.

An introduction to filtering. Examines a simple case using a bandpass filter.

The purpose of this resource is to develop an understanding of how water flows through different soils and how it is transformed when it flows through these soils. Students time the flow of water through different soils and observe the amount of water held and also the filtering ability of the soils. They will also observe the filtering ability of soils by noting the clarity of the water before and after it passes through the soil.