https://hdl.handle.net/2123/22431 2026-06-07T03:22:36Z 2026-06-07T03:22:36Z Ji, Xinyu https://hdl.handle.net/2123/22958 2025-10-21T01:01:20Z 2020-07-28T00:00:00Z

Application of Adaptive System to ECG Analysis: Noise Attenuation and ECG Detection Ji, Xinyu ECG or electrocardiogram is a tool used to monitor the electrical activity of a heartbeat. However, the detectable signal is incredibly small, and an electrical noise could be relatively large. This means it is necessary to design a filter for better attenuating the noise below and beyond a certain frequency. Moreover, the abnormal ECG results from abnormal heart rate is the best notification for any potential heart diseases and should get notice as soon as possible. Therefore, this project focus on designing a system for both solving noise attenuation and ECG detection issues.

2020-07-28T00:00:00Z Young, Oliver https://hdl.handle.net/2123/22667 2026-02-26T13:02:54Z 2020-06-24T00:00:00Z

Creating a Convolution Reverberation Effect from Impulse Responses in Physical Spaces Young, Oliver This paper gives detail to the implementation of convolution of an input signal with an impulse response recorded in a physical space in both the time and frequency domain in order to model a reverberation effect. The Impulse Responses used in this project were recorded in physical spaces using sinusoidal sweeps and recorded into one channel. The Input Signals used were recorded using various instruments into one channel. This paper describes the differences between time domain convolution and FFT convolution with a focus on the uses of FFT convolution in reverberation effects.

2020-06-24T00:00:00Z Brereton Isidore, Callum https://hdl.handle.net/2123/22618 2026-05-05T01:01:01Z 2020-06-19T00:00:00Z

Digital Audio Effects Processing: A look into dynamic range processing Brereton Isidore, Callum This paper outlines Digital audio effects processing design with a focus on dynamic range processing specifically designing dynamic range limiters inside of MATLAB, this paper gives a brief introduction into the world of effects processing and shows in some detail the theory and mathematics behind dynamic range processing, this paper also outlines the signal flow and a deeper understanding of how the created limiter for this project works, included with all the mathematical equations. File provides both the code used for the project and the paper

2020-06-19T00:00:00Z Ferraro, Ross https://hdl.handle.net/2123/22615 2026-05-05T01:01:03Z 2020-06-19T00:00:00Z

Analogue Tape Simulation in MATLAB Ferraro, Ross Analogue tape recording is known for its warmth, low end punch and smooth saturation (Robjohns, 2010). This project aims to simulate some of the characteristics of analogue tape recording using digital signal processing in MATLAB. Three characteristics were chosen that are idiosyncratic to the sound of analogue tape recording – tape saturation, low end head bumps and the pitch modulation effects wow and flutter. An analysis of how these occur in an actual analogue tape machine was conducted. This analysis was used in the selection, application and modification of existing digital signal processes to achieve an authentic sounding simulation. An analogue tape simulation algorithm for MATLAB

2020-06-19T00:00:00Z Sah, Harsh Vardhan https://hdl.handle.net/2123/22483 2026-03-09T03:06:45Z 2020-06-11T00:00:00Z

3-Band Tone Control / 7-Band Parametric Equalizer Sah, Harsh Vardhan This paper outlines the design of 3-band tone control and 7-band parametric audio equalizers comprised of a cascade network of second order peak and shelf filters, along with their MATLAB code and App Designer implementations. The 3-band tone control was designed with frequencies of 200 Hz (low shelf), 1kHz (mid peak, Q=1) and 5kHz (high shelf). The 7-band parametric equalizer allows the user to change the filter cut-off/centre frequencies and bandwidth. The implementation allows the user to switch between simple and advanced setups and either choose presets or input their own values. Implementation of MATLAB code and app (GUI) for an equalizer that allows switching between a 3-band tone control equalizer (or 3-band graphic equalizer) and a 7-band parametric equalizer.

2020-06-11T00:00:00Z Albastaki, Almohannad https://hdl.handle.net/2123/22463 2026-03-09T03:06:48Z 2020-06-09T00:00:00Z

“What if we had, not one Wah Wah Filter, not two, but 20?”: Implementing an M-Fold Wah-Wah Filter in Matlab Albastaki, Almohannad An M-fold Wah-Wah filter can be described as an effect where multiple Wah-Wah filters are applied to a signal, each at a certain frequency range. This report describes the implementation of such a filter in Matlab. By using preexisting code on a single state-variable bandpass filter, multiple bandpass filters are implemented across a defined frequency spectrum. The filter is adjustable through a number of variables, these being: the number of bandpass filters (M), the damping factor of each filter, the spectrum for which the filters are applied, as well as the Wah Frequency, i.e. the number of cycles through each bandpass. Implementation of an M-Fold Wah-Wah filter in Matlab

2020-06-09T00:00:00Z