基于小波变换的语音阈值去噪算法研究
by 邓玉娟
This scholarly work examines threshold-based denoising algorithms utilizing wavelet transforms for speech signals. It covers the principles, methodologies, and potential applications in improving audio quality through effective noise suppression techniques in signal processing.
About This Book
This book investigates algorithms for speech denoising based on wavelet transforms, focusing on threshold methods to enhance audio clarity.
The study delves into the application of wavelet techniques for removing noise from speech signals, offering a systematic approach to algorithm design and evaluation.
Key aspects include the theoretical foundations of wavelet transforms and their practical implementation in denoising processes.
The research contributes to advancements in speech processing technologies, particularly in environments with high noise levels.
Reviews
No reviews yet. Be the first to review this book!