Simulation of Digital Channelizers with Odd Channel Count Implementation

This document presents a comprehensive simulation program for digital channelizers, with particular focus on simulating sub-channel extraction processes when the number of input channels is odd. Digital channelizers serve as critical components in communication systems, converting analog signals into digital formats for efficient transmission and processing. The simulation employs polyphase filter bank structures combined with Fast Fourier Transform (FFT) algorithms to efficiently separate input signals into multiple sub-channels. When handling odd channel configurations, the program implements specialized windowing functions and symmetry handling mechanisms to maintain spectral efficiency and minimize aliasing effects. Key implementation aspects include: - Configurable filter coefficients using raised-cosine or Chebyshev window designs - FFT size optimization for odd channel counts through zero-padding techniques - Sub-channel extraction algorithms with adjustable bandwidth and center frequency parameters - Real-time monitoring of interpolation and decimation processes Through this simulation framework, we can analyze sub-channel extraction performance under various channel configurations, enabling better understanding and optimization of digital channelizer characteristics. The program systematically varies parameters such as filter order, sampling rates, and channel spacing to ensure accurate and reliable results. This analytical approach provides valuable insights into digital channelizer operation principles and offers practical guidance for performance enhancement in real-world applications. The code architecture includes modular components for signal generation, filter implementation, frequency domain analysis, and result visualization, allowing researchers to easily modify parameters and observe corresponding system behavior changes.