Broadband Signal Generation

When generating broadband signals using MATLAB's built-in functions and filters, we can follow these implementation steps. First, we need to define the required signal bandwidth and center frequency as key parameters. Then, we can utilize MATLAB functions such as `chirp()` for linear frequency modulation or `pulsewave()` for pulsed signals to generate a baseband signal. The next critical step involves convolving the baseband signal with a bandpass filter designed using functions like `fir1()` or `butter()` for FIR or IIR filter implementations respectively. This convolution process ensures the signal maintains the desired bandwidth within the specified frequency range. Finally, we can perform necessary post-processing operations such as amplitude adjustment using `rescale()` or adding noise with `awgn()` to meet specific application requirements. In practice, the `filter()` function is commonly used for implementing the convolution operation, while `freqz()` helps visualize the frequency response. This MATLAB-based approach provides a straightforward and effective methodology for broadband signal generation, supporting various research and development applications in signal processing and communications fields.