The Discrete Convolution Demo (dconvdemo) is a program that
helps visualize the process of discrete-time convolution.

**Features:**

- Users can choose from a variety of different signals.
- Signals can be dragged around with the mouse with results displayed in real-time.
- Tutorial mode lets students hide convolution result until requested.
- Various plot options enable the tool to be effectively used as a lecture aid in a classroom environment.

This program helps visualize the process of discrete-time convolution.

The goal of this lab is to learn how to implement FIR filters
in Matlab, and then study the response of FIR
filters to various signals, including images and speech.
As a result, you should learn how filters can create
interesting effects such as blurring and echoes. In addition,
we will use FIR filters to study the convolution
operation and properties such as linearity and time-invariance.
[Files]

The goal of this lab is to learn how to implement FIR filters in Matlab, and then study the response of FIR
filters to various signals, including images or speech.
[Files]

The goal of this lab is to learn how to implement FIR filters in Matlab, and then study the response of FIR
filters to various signals, including images or speech.

This mini project concentrates on the use of

`dconvdemo`

a GUI for discrete-time convolution.
This demo is exactly the same as the Matlab functions `conv()`

and `firfilt()`

used to implement FIR filters.
This demo illustrates an important point about the behavior of a linear, time-invariant (LTI) system. It also
provide a convenient way to visualize the output of a LTI system.
The goal of this lab is to learn how to implement FIR filters
in MATLAB, and then study the response of FIR
filters to various signals, including images and speech.
As a result, you should learn how filters can create
interesting effects such as blurring and echoes. In addition,
we will use FIR filters to study the convolution
operation and properties such as linearity and time-invariance.
[Files]

This mini project concentrates on the use of dconvdemo a GUI for discrete-time convolution.
This demo is exactly the same as the MATLAB functions conv() and firfilt() used to
implement FIR filters.
This demo illustrates an important point about the behavior of a linear, time-invariant (LTI) system. It also
provide a convenient way to visualize the output of a LTI system.