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Some Case Studies on Signal, Audio and Image Processing Using Matlab

Name: Some Case Studies on Signal, Audio and Image Processing Using Matlab
Brand: Blurb
SKU: 9798211932302
Price: 82.9 PLN
Availability: InStock

Autor: Dr. Hidaia Mahmood Alassouli

Język:

Oprawa: Miękka

Wydawca: Blurb

Dostępność: Dostępna u dostawcy

Wysyłamy za 14-21 dni

82.90 zł

This project shows some selected signal techniques, including image and audio processing, using the...

Informacje o książce

Autor

Dr. Hidaia Mahmood Alassouli

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2022

strony

EAN

9798211932302

Enbook ID

41930942

Wydawca

Blurb

Waga

185

Wymiary

203 x 254 x 4

Pełny opis

This project shows some selected signal techniques, including image and audio processing, using the Matlab digital signal processing and image processing toolboxes. The project is divided to 3 parts.

The project is divided to 3 parts.

Part I includes design and implementation of different types of filters for filtering signal that has different sinusoidal frequency components or noise. The comparison was made between FIR low pass flter, butterworth filter, Chebycheve Type I low pass filter and Chebycheve Type II low pass filter. Then different types of IIR Butterworth filters were designed and implemented to filter a signal that has many harmonics components, including low pass filter, high pass filter, stop band filter and band pass filter.

Part II examined audio filtering in the sense of specific frequency suppression and extraction. There are many different types of filters available for the construction of filters. We will specifically use the Butterworth filter. An audio signal was read and different types of filters, including low pass filter, high pass filter, stop band filter and band pass filter, were designed and implemented in order to filter the audio signal from some frequency bands. Then the discrete cosine transform compression examined on the audio signal at different compression rates.

Part III deals with image processing; the project shows examples in smoothing, sharpening, and edge detection. Other useful operations on the image were tested, including image cropping, image resizing, image, histogram equalization and altering image brightness