Implementation of Binary Sequence Generator with Power Spectrum and Autocorrelation Function Analysis

Implementation of Binary Sequence Generator with Power Spectrum and Autocorrelation Function Analysis. In modern communication systems, binary sequence generators serve as crucial devices for generating binary sequences used in data transmission. Their power spectrum and autocorrelation function are essential metrics for evaluating performance characteristics. The implementation of binary sequence generators can employ various methods and algorithms, such as linear feedback shift registers (LFSR) for pseudorandom sequences or predefined pattern generators for specific applications. For power spectrum analysis, Fast Fourier Transform (FFT) algorithms can be applied to compute spectral density, while autocorrelation functions can be calculated using sliding window correlation methods with optimized convolution operations. These implementations help meet diverse requirements across different application scenarios, making the research and development of binary sequence generators both theoretically significant and practically valuable for communication system design.