Buffering and Frame-Based Processing - MATLAB & Simulink

Buffering and Frame-Based Processing - MATLAB & Simulink

4.6
(522)
Write Review
More
$ 21.99
Add to Cart
In stock
Description

Convert signals of frame size 1 into signals of frame size greater than 1, and vice versa.
Multichannel signals of frame size 1 can be buffered into multichannel signals of frame size L using the Buffer block. L is greater than 1.
In some cases it is useful to work with data that represents overlapping sections of an original signal. For example, in estimating the power spectrum of a signal, it is often desirable to compute the FFT of overlapping sections of data. Overlapping buffers are also needed in computing statistics on a sliding window, or for adaptive filtering.
In the following example, a two-channel signal with frame size 4 is rebuffered to a signal with frame size 3 and frame period 2. Because of the overlap, the input sample period is not conserved, and the output sample period is 2/3:
You can unbuffer multichannel signals of frame length greater than 1 into multichannel signals of frame length equal to 1 using the Unbuffer block. The Unbuffer block performs the inverse operation of the Buffer block's buffering process, where signals with frame length 1 are buffered into a signal with frame length greater than 1. The Unbuffer block generates an N-channel output containing one sample per frame from an N-channel input containing multiple channels per frame. The first row in each input matrix is always the first output.

Figure 1 from Simulation of Triple Buffer Scheme (Comparison with Double Buffering Scheme)

Create Signals for Frame-Based Processing - MATLAB & Simulink

Figure 4 from Simulation of Triple Buffer Scheme (Comparison with Double Buffering Scheme)

Convert Sample and Frame Rates in Simulink Using Frame Rebuffering Blocks - MATLAB & Simulink

Construct a Filter Using Line Buffer - MATLAB & Simulink - MathWorks América Latina

Streaming Data from Hardware to Software - MATLAB & Simulink - MathWorks España

Benchmarking Frame-Based Models Using Feedback in Simulink

Buffering and Frame-Based Processing - MATLAB & Simulink

Filters with MATLAB