In data transmission systems, ensuring reliable communication while maximizing spectrum efficiency is a challenge. Code Division Multiple Access (CDMA) systems, widely used in wireless networks, depend on spreading codes to manage interference and support users. Achieving a balance between low cross-correlation and optimal autocorrelation properties is complex and involves trade-offs that affect system performance, especially as modern systems demand higher data rates and efficiency. In systems that use spectral spreading, achieving optimal autocorrelation characteristics often compromises cross-correlation characteristics, and vice versa. Codes with low cross-correlation values typically exhibit high out-of-phase autocorrelation values. Therefore, a balance between autocorrelation and cross-correlation properties is necessary for an efficient CDMA communication system. These desirable correlation properties are crucial in both periodic and aperiodic contexts. Recent innovations have led to a patented code generator derived from Golay codes/sequences, which exhibits low periodic cross-correlation values and a periodic autocorrelation function characterized by a prominent correlation peak and null values surrounding it. This development not only enhances signal quality but also mitigates interference in multi-user communication scenarios, making it particularly relevant for modern wireless networks. Furthermore, a novel solution is proposed to minimize the Peak-to-Average Power Ratio (PAPR) and reduce the cost of a new Orthogonal Perfect Discrete Fourier Transform Golay (OPDG) power transmission circuit. This approach leverages advanced signal processing techniques to achieve energy efficiency, addressing a critical challenge in high-performance communication systems. Experimental results demonstrate the practicality of these innovations in real-world implementations, paving the way for future advancements in CDMA technology.