This paper proposes the IMADF (improved multiplication-free adaptive digital filter) algorithm to cancel the background noise that spans nearly all frequency bandwidths in biomedical signals. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, we analyze the convergence characteristics of the IMADF with a FSE (fractionally-spaced equalizer). In the experimental results, the IMADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.

In order to establish rapid diagnosing in TDX signaling service, it has developed a PCM signal acquisition (PCMA) system which can analyze status of signals sent from/received to a signaling equipment, providing the fully electronic switching system. The system has a function of acquirement PCM signal of the preferred channel from the subhighway (SHW), connecting a universal signal transceiver unit (USTU) and time switch unit (TSU), and then it classifies the type of signal such as R2MFC/DTMF/CCT/VOICE, and finally discriminates the digit. This paper analyze the signal status of the PCMA system using the quick Fourier transform (QFT) based the symmetric properties, and discusses the algorithm of signal analysis and discrimination. In the experimental results, it shows the improved performance to the PCMA and reduce memory waste and process the real-time.